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Role:GTM Engineer

Marketing operations and AI automation

About GigaRev

GigaRev combines growth strategy, marketing execution and AI-enabled workflows. We help businesses improve customer acquisition and conversion through campaigns, content, experimentation and better marketing operations.

The role

We are hiring a GTM Engineer to translate marketing processes into reliable workflows and integrations. Your work will connect campaign planning, content production, lead capture, booking, CRM follow-up and reporting. You will partner with marketers and the client engineering team to develop the execution systems behind local customer acquisition, beginning with a pilot and extending proven workflows across locations.

What you will do

Map marketing journeys and operational bottlenecks. Turn briefs into workflow designs, data requirements, acceptance criteria and a prioritised implementation backlog.

Build workflows using tools such as n8n, Make or Zapier, plus JavaScript or Python where needed. Connect advertising, CMS, CRM, booking and reporting systems through APIs and webhooks.

Develop AI-assisted workflows for research, content briefs, asset repurposing, campaign preparation and performance summaries using approved brand and location information.

Implement lead routing, reminders, follow-up and lifecycle triggers using agreed customer preferences and business rules. Handle cancellations and reschedules consistently.

Maintain campaign identifiers, event definitions and location mappings. Help reconcile leads, bookings, attendance and paid outcomes, and flag missing or inconsistent data.

Build approval steps, access controls, logging, retries, alerts and duplicate prevention. Monitor workflow reliability, data freshness and AI or API usage costs.

Collaborate with engineering on production integrations and deployment. Document workflows, train operators and turn successful pilot implementations into reusable components.

Experience and application

Experience: 3 or more years, or equivalent evidence of delivery

What you will bring

Experience in marketing operations, RevOps, automation or software engineering, with production workflows you have personally built and maintained.

Strong working knowledge of at least one workflow platform, plus the ability to write and debug JavaScript or Python and use SQL for basic data validation.

Practical API integration skills, including JSON, webhooks, authentication, error handling and secure credential management.

Understanding of campaign tracking, CRM stages, lifecycle messaging, UTMs and the journey from inquiry to booking and customer conversion.

Experience using LLM APIs with structured outputs, approved source context, evaluation checks and human review where decisions require it.

Ability to investigate failures, explain technical choices to marketers and collaborate with engineering and US stakeholders during agreed hours.

Useful additional experience

Experience with advertising-platform integrations, GA4 or Google Tag Manager, offline conversion data, CMS integrations and systems serving multiple locations. Familiarity with Git, deployment environments and AI-assisted coding tools will help.

Your first 90 days

First 30 days. Map the current systems and data flow, agree measurement definitions and access requirements, and prototype a priority marketing workflow.

By day 60. Put agreed priority workflows into use with approvals, monitoring and recovery procedures. Validate data against the source systems with marketing and engineering.

By day 90. Show measured improvements in manual effort, reliability or turnaround time. Deliver documentation and reusable templates for onboarding further locations.

How to apply

Apply with your CV and two workflow examples, including at least one used in production. Describe the business problem, systems connected, your implementation, failure handling and measured impact. A short walkthrough or anonymised architecture diagram is welcome.

Job Description:

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.

As an AI Engineer on our Professional Services team, you will be at the forefront of the AI revolution, working directly with our most strategic customers. You'll be a trusted advisor and hands-on builder, translating complex business challenges into cutting-edge AI solutions that deliver tangible business value.

This is a unique opportunity to design, build, and deploy a wide range of applications⸺from powerful predictive models to sophisticated Generative AI agents and chatbots. If you thrive on solving real-world problems and want to work with the latest in AI technology, this role is for you.

Key Responsibilities:

Partner with Customers: Collaborate closely with customer stakeholders to understand their business goals, identify high-impact use cases, and define technical requirements for AI solutions.

Build & Deploy AI Solutions: Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools. This includes:

Agentic AI: Developing and deploying agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index

Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems.

Predictive AI: Developing and deploying classic machine learning models for use cases like forecasting, churn prediction, and fraud detection.

Serve as a Technical Expert: Act as a subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives.

Deliver Value: Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives.

Communicate & Collaborate: Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives.

Knowledge, Skills and Abilities:

AI & Machine Learning Expertise:

Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.).

Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases,

Solid understanding of the end-to-end agentic AI lifecycle from building agents in frameworks like LangGraph or CrewAI, to at scale deployment and monitoring.

Application Development & Operations:

Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic.

Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s).

Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints.

Customer Focus: Experience in a client-facing or consulting role with exceptional verbal and written communication skills. You must be comfortable leading technical discussions and presenting to diverse audiences.

Problem-Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems.

Requisite Education and Experience / Minimum Qualifications:

Experience: Approximately 6-8 years of hands-on experience in AI Application development, software engineering, machine learning engineering, or a similar role with a proven track record of deploying AI solutions or applications into production.

Education: A Master’s Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field.

Cloud Experience: Hands-on experience with a major cloud platform (AWS, Azure, or GCP).

DataRobot Experience: Familiarity with the DataRobot AI Platform is a strong plus.

MLOps Knowledge: Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance.

The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!

DataRobot Operating Principles:

Wow Our Customers

Set High Standards

Be Better Than Yesterday

Be Rigorous

Assume Positive Intent

Have the Tough Conversations

Be Better Together

Debate, Decide, Commit

Deliver Results

Overcommunicate

Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit.

DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.

Use of Artificial Intelligence in Our Hiring Process

DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team.

All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

Job Description:

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.

As the Principal AI Engineer within our Professional Services team, you will be a strategic leader and executive advisor, responsible for driving the technical vision and successful delivery of our most complex and strategic AI programs with our top-tier customers.

You will be part of a high-performing team of AI Engineers, establish architectural best practices for Agentic AI deployments, and ensure that all solutions translate into exceptional, measurable business value. This role requires a balance of deep technical expertise, a proven background in Software engineering practices and architectures with executive-level communication and P&L accountability for large professional service engagements.

Key Responsibilities:

Executive & Strategic Engagement: Serve as the most senior technical leader on major engagements, advising C-level executives and key stakeholders on their AI strategy, architectural roadmap, and governance model.

Program Ownership & Governance: Own the technical success of the Professional Services portfolio, setting the technical standards, ensuring solution quality, and overseeing the deployment of advanced AI applications, including Agentic AI and complex GenAI/RAG systems.

Technical Architecture & Standards: Define the architectural blueprint and MLOps best practices for building robust, scalable, and secure AI solutions that leverage the DataRobot platform and cutting-edge open-source tools.

Thought Leadership: Act as a recognized subject matter expert in the AI/ML community, representing DataRobot at industry conferences, publishing technical content, and driving internal innovation.

Revenue and Utilization Management: Drive successful program execution, managing technical risk and ensuring high customer satisfaction, which directly contributes to achieving regional revenue targets.

Travel: Ability to travel up to 50% across the region to support customers across GCC

Language: Proficient in Arabic is preferred but not critical

Knowledge, Skills and Abilities:

Strategic AI & Architectural Expertise:

Expertise in full-stack development, enterprise software architecture and the implementation of modern agentic AI frameworks.

Deep, proven expertise in defining and implementing end-to-end AI/ML and Generative AI application architectures, including Agentic AI frameworks (LangGraph, CrewAI, Llama Index), RAG, and large-scale predictive modeling systems.

Expertise in setting MLOps strategy for model CI/CD, governance, and enterprise-level scaling.

Deep proficiency in containerization (Docker/Kubernetes), and building secure, production-grade REST APIs

Leadership & Consulting:

Exceptional executive-level verbal and written communication skills, with the ability to lead discussions, present complex technical roadmaps, and influence decision-makers across business and technology domains.

Demonstrable track record in a highly visible client-facing or consulting leadership role.

Requisite Education and Experience / Minimum Qualifications:

Experience: Approximately 10+ years of progressive hands-on experience in Software development, Agentic AI frameworks, or a similar technical role.

Education: A CS Degree MS or Ph.D. preferred in Computer Science, Artificial Intelligence, Engineering, or a related quantitative field.

Cloud Experience: Expert-level, hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and on-premise deployment experience, with a focus on enterprise architecture and security.

DataRobot Experience: Expert familiarity with the DataRobot AI Platform is a strong plus.

The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!

DataRobot Operating Principles:

Wow Our Customers

Set High Standards

Be Better Than Yesterday

Be Rigorous

Assume Positive Intent

Have the Tough Conversations

Be Better Together

Debate, Decide, Commit

Deliver Results

Overcommunicate

Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit.

DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.

Use of Artificial Intelligence in Our Hiring Process

DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team.

All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

Role:JOB PURPOSE:

We are looking for a Full Stack Developer who will be responsible for building, maintaining, and scaling high-performance web applications. The role requires strong hands-on experience across backend and frontend development, problem-solving mindset, and the ability to work in a fast-paced, product-driven environment.

KEY ACCOUNTABILITIES:

Description

Design, develop, and maintain full-stack applications using NestJS, ExpressJS, and NextJS (ReactJS)

Build scalable backend services and APIs with NestJS and ExpressJS

Develop and optimize database structures using PostgreSQL, MySQL, and MongoDB

Work with Prisma ORM for efficient database management

Implement PDF generation using Puppeteer or similar NodeJS-based solutions

Handle e-commerce logic, including price calculations, discounts, taxes, and invoice generation

Collaborate with product and business teams to translate requirements into technical solutions

Ensure application performance, security, and scalability

Participate in code reviews and follow best coding practices

DevOps & Infrastructure Responsibilities

Manage and support CI/CD pipelines

Perform basic Linux scripting and server-level tasks

Assist with deployment, monitoring, and troubleshooting in production environments

COMMUNICATIONS & WORKING RELATIONSHIPS:

Works closely with Product Managers, UI/UX Designers, and Backend/Frontend Developers

Coordinates with DevOps and Infrastructure teams when required

Communicates technical concepts clearly to non-technical stakeholders

QUALIFICATIONS, EXPERIENCE & SKILLS:

Minimum Qualifications:

Key Requirements

4–7 years of experience in full stack or backend-heavy development (flexible for strong candidates)

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience

Prior experience in e-commerce, billing, pricing, or financial logic systems is a strong advantage

Proven experience as a Full Stack Developer

Strong expertise in NestJS, NextJS (ReactJS), and ExpressJS

Hands-on experience with PostgreSQL, MySQL, and MongoDB

Solid working knowledge of Prisma

Experience with PDF generation using Puppeteer or equivalent NodeJS tools

Strong problem-solving skills, particularly in e-commerce pricing and invoice logic

Understanding of CI/CD processes and basic Linux commands

Ability to work independently and take ownership of deliverables

Key Competencies

Strong analytical and problem-solving skills

Attention to detail and focus on quality

Ability to work in a fast-paced, agile environment

Ownership mindset with a results-driven approach

Role:AI Engineering Lead

Role Overview

We are seeking an experienced AI Engineering Lead to drive the technical delivery of enterprise AI transformation programs within a leading banking institution.

This role will be responsible for leading multiple AI delivery pods, defining technical strategy, governing engineering standards, and ensuring the successful deployment of AI-powered solutions across corporate banking, lending, onboarding, and intelligent automation domains. The successful candidate will provide hands-on leadership across architecture, AI engineering, platform integration, evaluation, governance, and AI delivery practices.

The ideal candidate will possess strong expertise in AI Architecture, Agent Engineering, Generative AI, Enterprise AI Delivery, MLOps, Platform Engineering, and Technical Leadership, with extensive experience building production-scale AI solutions.

Key Responsibilities

AI Delivery Leadership

Lead AI engineering teams delivering enterprise AI solutions.

Define technical roadmaps, release plans, and delivery strategies.

Manage multiple AI delivery pods and cross-functional engineering teams.

Drive adoption of AI engineering best practices and standards.

AI Architecture & Design

Define architecture patterns for AI agents, workflows, integrations, and enterprise AI services.

Review and approve technical designs and architecture decisions.

Ensure alignment with enterprise architecture standards and governance requirements.

Agentic AI & Advanced AI Systems

Design and implement advanced agentic AI architectures.

Develop scalable AI workflows using modern orchestration frameworks.

Build intelligent agent ecosystems leveraging structured outputs and orchestration patterns.

Engineering Excellence

Act as the technical authority for code reviews, release governance, and engineering quality.

Implement AI evaluation, regression testing, and release readiness frameworks.

Drive AI-assisted engineering and agent-augmented delivery practices.

Responsible AI & Governance

Embed security, privacy, compliance, and responsible AI controls into delivery processes.

Ensure AI systems comply with enterprise governance and regulatory requirements.

Establish AI monitoring, auditability, and operational controls.

Coaching & Stakeholder Management

Mentor AI Engineers and senior technical contributors.

Engage business stakeholders, architects, and technology leadership teams.

Drive continuous improvement across engineering functions and delivery practices.

Required Skills & Qualifications

15+ years of software engineering experience.

8+ years leading engineering teams delivering AI, ML, or data-driven solutions.

Minimum 3 years building production-grade Generative AI and Agentic AI applications.

Strong expertise in:

AI Engineering Leadership

Agent Architecture

Generative AI

AI Platform Engineering

Enterprise AI Delivery

AI Governance

Hands-on experience with:

LangGraph

Semantic Kernel

OpenAI Agent Frameworks

Microsoft Agent Framework

MCP & A2A Protocols

Advanced proficiency in:

Python

FastAPI

TypeScript

Java

Strong knowledge of:

Azure OpenAI

GraphRAG

Hybrid Search

Document AI

Intelligent Automation

Experience with:

Kubernetes

Terraform

Docker

GitHub Actions

DevSecOps Pipelines

Expertise in:

AI Evaluation Frameworks

AI Red Teaming

Responsible AI

AI Risk Management

Preferred Skills & Experience

Banking, Corporate Banking, SME Lending, or Digital Banking experience.

Experience leading AI transformation programs.

Knowledge of Oracle FLEXCUBE, onboarding, lending, and credit processes.

Experience with Azure API Management, Kafka, and enterprise integration platforms.

Experience managing multi-vendor engineering teams.

Exposure to DORA metrics and engineering performance frameworks.

Education & Qualifications

Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related discipline.

Master's degree preferred.

Preferred Certifications

Microsoft Certified: Azure AI Engineer Associate

Microsoft Certified: Azure Solutions Architect Expert

AWS Solutions Architect Professional

CKAD

SAFe Agilist

PMI-ACP

Halian Group

With over 28 years of experience, we have come to understand that innovation is the only way to provide agile, practical solutions that transform businesses and careers. Our resourcing and smart services help you to realise tomorrow's potential. Discover the amazing things possible when you bring the right people and the right technologies together.

At Halian, we recognise that diversity, equity, and inclusion (DEI) are essential to building high-performing teams for our clients. We are committed to connecting organisations with top talent from all backgrounds, ensuring that every individual feels valued, respected, and empowered to contribute their unique perspectives.

We encourage applications from all qualified candidates, regardless of race, gender, disability, or any other characteristic that makes them unique.

AI Engineering Lead in Abu Dhabi, United Arab Emirates

Role:About HylpersHylpers is a technology company developing an innovative mobile services marketplace that connects individuals and businesses with independent service providers.

Our mission is to make accessing services and earning opportunities easier, more convenient, and accessible through technology.

We are continuously improving our mobile platform and expanding its capabilities to deliver a reliable, secure, and user-friendly experience.

Role DescriptionWe are seeking an experienced React Native Developer currently based in Dubai, UAE, to join our development team on a full-time basis.

The successful candidate will be responsible for maintaining, troubleshooting, optimizing, and enhancing our existing Android and iOS applications.

We are looking for a proactive, technically capable developer who can understand an existing codebase, independently resolve technical challenges, and contribute to continuous platform improvements.

Key Responsibilities

Develop, maintain, and optimize React Native applications for Android and iOS.

Identify, troubleshoot, and resolve existing application issues.

Integrate Firebase services and RESTful APIs.

Implement maps, geolocation, notifications, and other mobile features.

Improve application performance, stability, security, and scalability.

Collaborate with backend developers on system integrations.

Implement new features while preserving existing functionality.

Manage mobile application testing and deployment to Google Play and the Apple App Store.

Maintain clean, organized, and well-documented source code using Git/Bitbucket.

Required Qualifications

Minimum 3–5 years of relevant mobile application development experience.

Strong proficiency in React Native, JavaScript, and TypeScript.

Hands-on experience with Firebase and REST API integrations.

Proven experience troubleshooting and maintaining existing production applications.

Familiarity with Android and iOS deployment processes.

Experience with Git-based version control.

Strong analytical, debugging, and problem-solving skills.

Ability to work independently and collaborate with other developers.

Must currently reside in Dubai, UAE.

Preferred Qualifications

Experience with Node.js and backend integrations.

Familiarity with payment gateway integrations.

Knowledge of DigitalOcean or similar cloud infrastructure.

Experience developing location-based or marketplace applications.

Understanding of mobile application security and performance optimization.

Employment DetailsCompany: Hylpers

Location: Dubai, United Arab Emirates

Work Arrangement: Remote

Employment Type: Full-Time

Availability: Immediate or within 30 days preferred

Salary: Negotiable based on experience and qualifications.

How to ApplyInterested applicants should submit their updated CV and relevant portfolio, including examples of mobile applications they have developed or maintained.

Shortlisted candidates may be invited to complete a practical technical assessment.

We look forward to welcoming a skilled developer who can contribute to the continued growth and development of our platform.

Role:Penspen www.penspen.com is looking for an experienced, 12+ Years experience, Senior Mechanical Engineer-Rotating to join our engineering team for a major Front-End Engineering Design (FEED) project.

Familiarity with Saudi Aramco standards and experience in major brownfield FEED/EPC projects will be an advantage for the candidate.

Key Responsibilities

We are looking for an experienced Senior Mechanical Engineer-Rotating to join our engineering team for a major Front-End Engineering Design (FEED) projec for offshore projects.

Lead the rotating equipment engineering activities for FEED, detailed design, and EPC phases of oil & gas projects.

Develop data sheets, specifications, and requisitions for rotating equipment such as compressors, pumps, turbines, blowers, and packaged systems.

Review vendor offers, perform technical bid evaluations, and participate in vendor meetings and design reviews.

Ensure compliance with API, ASME, ISO, and other relevant international standards.

Coordinate with process, piping, instrumentation, and electrical disciplines for equipment integration.

Review vendor documents (GA drawings, datasheets, performance curves, etc.) and ensure timely approval.

Provide technical support during procurement, fabrication, installation, and commissioning phases.

Participate in HAZOP, HAZID, SIL, and design review workshops.

Mentor junior engineers and review their deliverables for quality and accuracy.

Support client and internal audits and ensure adherence to project quality and safety standards. Familiarity with Saudi Aramco standards and experience in major brownfield FEED/EPC projects will be an advantage for the candidate.

The job location will be based on Saudi Arabia.

If you have the skills and are interested, please apply on the link below - https://careers.penspen.com/vacancy/senior-mechanical-engineer-rotating---621629.html#hs_show_apply_popup=true

Role:We're not hiring a compliance officer who flags issues after the fact. We're hiring someone who builds the systems that catch them before they become fines.

Why This Matters

Deriv's mission is Trading for Anyone, Anywhere, Anytime. Real money, real regulations, real consequences—across every jurisdiction we operate in. Manual compliance doesn't scale to millions of transactions, and rules change faster than any policy team can track by hand.

We're building continuous monitoring, automated regulatory intelligence, and audit trails that regulators actually trust—because they're more consistent than human-only review.

Why Deriv

We're already automating compliance, not planning to.

Automated AML review pulling data, computing risk metrics, and flagging high-risk clients without a human running the same query every morning

Regulatory research automation: feed in a jurisdiction and licence type, get back applicable laws, requirements, and risk factors

Dozens of fraud detection models running continuously in production, watching for money movement patterns and coordinated network behaviour

You'll extend systems already running in production, not pitch ideas that might get funded.

Scope

This is an Individual Contributor role. You'll lead through technical expertise, not people management—though you'll mentor others and shape how the team works.

You'll own components within one or two of these areas, with exposure to the rest:

Regulatory Monitoring & Intelligence — NLP systems that read global rule changes and surface what actually needs action

Onboarding, AML & Fraud Workflows — microservices and rule engines replacing manual review steps

RegTech Integration — evaluating and integrating AI/ML, blockchain, and digital identity tools into KYC, transaction monitoring, and sanctions screening

Your day-to-day focus depends on team priorities, but the work touches all three.

What You'll Do

Build the regulatory radar

Design systems that aggregate rule changes across jurisdictions, use NLP to work out what they actually mean, and generate alerts with a recommended action attached—not just "something changed"

Replace manual review with working systems

Build onboarding, AML, and fraud detection workflows on microservices and rule engines that remove hand-offs and catch more than a checklist ever could

Turn a regulatory obligation into the tooling, governance, and audit evidence it actually requires—no one hands you that translation, you do it

Evaluate and integrate RegTech

Assess AI/ML, blockchain, and digital identity tools against real requirements, run proof-of-concept testing, and lead integration into KYC, transaction monitoring, and sanctions screening.

Extend blockchain compliance capabilities: crypto transaction monitoring, counterparty risk scoring, and Travel Rule adherence

Govern the data, not just the process

Design automated data governance frameworks aligned to GDPR, ISO 27001, and DORA, with integrity and auditability built in from the start, not bolted on after an audit finding

Model the risk, not just the rule

Build AI-driven risk models and simulations for fraud and operational risk, with outputs a human reviewer can actually interpret and stress-test

Who You Are

You've shipped compliance systems that run. Microservices, rule engines, NLP pipelines—you've built them into production, not just described them in a policy document.

You can read a regulation and build for it. You translate "the obligation" into "the tooling, governance, and audit trail it needs" without waiting for someone else to do that translation.

You lead through ambiguity. When a requirement's unclear or priorities compete, you make a call, take feedback, and adjust. You don't wait around for certainty that isn't coming.

You mentor without being asked. Newer engineers and analysts on the team learn from how you work, not just from what you tell them.

You're fluent in GDPR, ISO 27001, and DORA. Or close enough that you know exactly where to dig deeper. You design governance in, rather than checking for it afterward.

The Honest Reality

This is demanding work. You'll own systems where a missed pattern isn't a bug ticket—it's a regulatory finding. You'll balance thorough checking against operational speed, and you'll need to explain what an AI-driven risk model actually decided to people who distrust black boxes by default. You'll lead through requirements that shift mid-build, and mentor while you're still learning some of this yourself.

But you'll build compliance technology that scales with transaction volume instead of headcount. You'll work across RegTech, AI, and blockchain in a function most companies still run on spreadsheets and hope.

If you want settled specs and stable requirements, this isn't it. If you want to build the systems compliance runs on next, it might be.

Role:Saipem is a global leader in engineering services for the design, construction, and operation of complex infrastructures and plants in the energy sector, both offshore and onshore.

The vision that inspires us is “Engineering for a sustainable future”. This is why we are engaged in the new low-carbon energy and industrial ecosystem. We are at the forefront of the transition to Net Zero alongside our clients, with increasingly digitalized tools, technologies, and processes, designed from the outset with environmental sustainability and safety in mind.

With our five business lines - Asset Based Services, Energy Carriers, Offshore Wind, Sustainable Infrastructures, Robotics & Industrialized Solutions - we are One Company present in around 60 countries with over 30,000 employees of more than 130 nationalities, providing the world the innovative excellence of our people and our partners for over 65 years.

Core technical skills

Corrosion Engineering & Management – Corrosion assessment, corrosion control strategies, mitigation and monitoring.

Materials Selection & Metallurgy – Material selection for offshore/onshore Oil & Gas facilities, sour service, CRA materials.

Asset Integrity Management – Corrosion Risk Assessment (CRA/CRAS), Risk-Based Inspection (RBI), Integrity Operating Windows (IOW).

Corrosion Monitoring & Mitigation – Corrosion coupons, ER/LPR probes, chemical inhibition, cathodic protection (CP).

Corrosion Modelling Software – ECE, Predict, Hydrocor, Cassandra, NORSOK M-506.

Failure Investigation & RCA – Root Cause Analysis, damage mechanism assessment, Fitness-for-Service (FFS).

Coatings & Cathodic Protection – Protective coatings, CUI, pipeline coatings, corrosion prevention.

Engineering Standards – API 571, API 580/581, ASME, ASTM, NACE/AMPP, ISO 21457, NORSOK.

Role:Saipem is a global leader in the engineering and construction of major projects for the energy and infrastructure sectors, both offshore and onshore. Saipem is “One Company” organized into five business lines - Asset Based Services, Energy Carriers, Offshore Wind, Sustainable Infrastructures, Robotics & Industrialized Solutions. The company has 8 fabrication yards and an offshore fleet of 23 construction vessels (of which 21 owned and 2 owned by third parties and managed by Saipem) and 15 drilling rigs, of which 8 owned. Always oriented towards technological innovation, the company’s purpose is “Engineering for a sustainable future”. As such Saipem is committed to supporting its clients on the energy transition pathway towards Net Zero, with increasingly digital means, technologies and processes geared for environmental sustainability. Listed on the Milan Stock Exchange, it is present in more than 50 countries around the world and employs about 30,000 people of over 120 nationalities.

Always committed to promoting and supporting the values of diversity and inclusion, Saipem confirms its commitment to valuing differences as a source of mutual enrichment. To this end, it promotes and encourages conditions that allow the removal of every obstacle that limits the full expression of people and their complete development within the organization. It protects and guarantees work conditions that respect individual dignity, while promoting a collaborative, harmonious, fair and supportive work environment.

Materials Engineer – Main Skills

5+ years of experience in Materials Engineering, Metallurgy and Corrosion within Oil & Gas and Steel Manufacturing.

Materials Selection & Metallurgy: Carbon Steel, Stainless Steel, Corrosion Resistant Alloys (CRA), Nickel-Based Alloys, Titanium Alloys, Heat Treatment and Microstructure Analysis.

CRA Cladding & Lined Pipes: CRA Lined Pipe Manufacturing, Weld Overlay Cladding, Heat Induction Bending, Material Qualification and Manufacturing Procedures.

Corrosion Engineering: Sweet & Sour Corrosion, Pitting, Crevice and Intergranular Corrosion, MIC, Erosion Corrosion, Corrosion Testing and Degradation Mechanisms.

Welding & Materials Qualification: Welding Metallurgy, Material Testing, MPQT/BQT Qualification, Destructive Testing and NDT (UT, RT, PT, MT, ECT).

Materials Inspection & Quality Assurance: Material Test Certificate (MTC) Review, Inspection & Test Plans (ITP), Material Specifications, Supplier Inspections and Technical Compliance.

Failure Analysis & Root Cause Investigation: Metallurgical Failure Analysis, SEM/EDX, XRD, Metallography, Process Optimisation and Six Sigma.

Engineering Codes & Standards: API 5L/5LD, ASME, ASTM, DNV-ST-F101, NACE MR0175/ISO 15156, Saudi Aramco Specifications (SAES/SAMSS) and Shell DEP.

Technical Project Support: Oil & Gas EPC Projects, Technical Bid Reviews, Procurement Support, Supplier Coordination and Manufacturing Quality Control.

Key Qualifications

MSc Corrosion Control Engineering – University of Manchester (2026).

BEng Metallurgy & Materials Engineering – University of Indonesia.

Experience across 30+ Oil & Gas projects.

Role:#Penspen www.penspen.com is looking for a Senior Instrumentation Engineer(Offshore), the position is to be based in Alkhafji,KSA

A Senior Instrumentation Engineer will manage and design the control systems that run oil and gas plants.

Bachelor’s Degree in Instrumentation & Control Engineering/Electrical/Electronic or Mechanical Engineering.

Twelve (12) years of experience; Six (6) years of them within the field of Instrumentation & Control Engineering for major Oil and Gas/Petrochemical projects. DCS experience required.

Candidate should have experience in offshore projects with commissioning, operation and start up experience.

Previous experience in ARAMCO project is an added advantage.

If Interested, Please Apply

https://careers.penspen.com/vacancy/senior-instrumentation-engineer-offshore-621625.html#hs_show_apply_popup=true

Role:Job Description

What if you could do the kind of work the world needs?

At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you.

As a Senior Engineer in Building Technology Systems (BMS), you will support the design delivery of Building Management Systems and smart building solutions across a wide range of building projects. Working as part of a multidisciplinary team, you will contribute technical expertise in building automation, controls, monitoring, and system integration, ensuring that designs meet project requirements, industry standards, and client expectations. The role requires strong technical knowledge of BMS systems, HVAC controls, and integrated building technologies, with involvement throughout the design, construction, testing, and commissioning phases of projects.

Responsibilities

Develop and deliver Building Management System (BMS) designs for a variety of building projects, including commercial, healthcare, hospitality, aviation, residential, and mixed-use developments.

Prepare design calculations, system architecture diagrams, control schematics, points schedules, sequences of operation, technical specifications, and design reports.

Coordinate BMS designs with mechanical, electrical, ELV, ICT, security, lighting control, and energy management systems.

Support the production and review of drawings, BIM models, and technical documentation to ensure compliance with project requirements.

Review contractor submissions, shop drawings, material submittals, and technical proposals for compliance with the design intent.

Participate in multidisciplinary design coordination meetings and assist in resolving technical and integration challenges.

Provide technical input during design development, detailed design, tender, and construction stages.

Respond to Requests for Information (RFIs) and support the management of design changes during project delivery.

Conduct site visits and inspections to verify installation quality and conformance with approved designs and specifications.

Support testing, commissioning, integrated systems testing, and handover activities to ensure operational performance of BMS installations.

Assist in the implementation of smart building, sustainability, energy efficiency, and digital building initiatives.

Ensure compliance with applicable codes, standards, authority requirements, and cybersecurity considerations for connected building systems.

Maintain accurate project documentation and prepare technical reports and progress updates.

Work collaboratively with clients, contractors, vendors, and project teams to achieve successful project outcomes.

Qualifications

Bachelor's degree in Electrical Engineering, Electronics Engineering, Controls Engineering, Mechatronics Engineering, Building Services Engineering, or a related discipline.

Minimum 8-12 years of experience in Building Management Systems, Building Automation, or Smart Buildings engineering.

Demonstrated experience delivering BMS designs for complex building projects.

Strong understanding of HVAC controls, monitoring systems, and integrated building technologies.

Experience with major BMS platforms such as Siemens Desigo, Schneider EcoStruxure, Honeywell EBI, Johnson Controls Metasys, Delta Controls, or equivalent.

Familiarity with UAE, KSA, and international building codes, standards, and design practices.

Experience supporting testing, commissioning, and handover of building systems.

Proficiency in AutoCAD, Revit, and Microsoft Office applications.

Professional certifications related to BMS, controls, or smart buildings would be advantageous.

Imagine a better future for you and a better future for us all.

Join our close-knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 70,000 employees, working together to make a difference in communities both close to home and around the world.

With us, you can. Apply today.