AI Platform Developer
Valleysoft | Center of Excellence
Role:Valleysoft is a regional IT services provider delivering enterprise applications, cloud technologies, data platforms, and process-management solutions to global clients. Working across the Information Technology and Services sector, the company helps organizations strengthen and scale their digital capabilities through practical, business-focused technology solutions.
This role sits at the intersection of AI engineering, platform operations, and governance. As an AI Platform Developer, you will help shape and sustain enterprise AI capabilities by supporting the systems, processes, and controls that enable models to be developed, deployed, monitored, and managed effectively across their lifecycle while working closely with technical and business stakeholders.
Responsibilities
Administer, configure, maintain, and enhance the enterprise AI Governance Platform
Develop, integrate, deploy, and operationalize AI models and solutions spanning machine learning, deep learning, generative AI, and agentic AI
Manage model onboarding, updates, reassessments, and retirement
Customize platform workflows, forms, assessment templates, dashboards, and reports
Support model development, testing, validation, deployment, and monitoring across development, testing, and production environments
Troubleshoot platform incidents, integrations, configuration defects, and model-performance issues
Monitor model performance, drift, availability, and quality
Maintain technical documentation, operational procedures, and knowledge-transfer materials
Support Responsible AI, model-risk controls, data privacy, and data-governance requirements
Collaborate with AI engineers, governance specialists, and client stakeholders on platform enhancements
Requirements
Bachelor's or Master's degree in Artificial Intelligence or a related field
6+ years of professional experience in AI engineering, including AI model development, machine-learning implementation, model integration, evaluation, monitoring, and operationalization
3+ years of hands-on experience with an enterprise AI Governance Platform, including model onboarding, workflow configuration, assessments, monitoring, or reporting
Hands-on experience with Python, generative AI, and agentic AI
Strong experience with APIs and integrations, MLOps, model deployment, and model lifecycle management in production operations
Hands-on experience with model monitoring, performance monitoring, model drift analysis, validation, and troubleshooting
Experience applying Responsible AI, Model Risk Management, Data Privacy, and Data Governance in AI environments
Experience collaborating directly with client stakeholders, AI engineers, and governance specialists to support AI platform operations, governance reviews, troubleshooting, or platform enhancements
Able to work on-site
Hands-on experience with TensorFlow, PyTorch, or Scikit-learn is a plus
Direct enterprise client-facing experience, including leading client presentations or governance discussions, is a plus
Benefits
Private Health Insurance
Training & Development
