AI Stack Development Lead

About the role

Envision Employment Solutions is recruiting an AI Stack Development Lead for a partner, an international chemical manufacturing company. The role owns the design, architecture and technical direction of an enterprise AI stack built on Microsoft Fabric, integrated with Azure AI Foundry and Azure OpenAI, and connects machine learning models and AI agents to SAP and industrial platforms such as Cognite. It reports to the Head of Data, AI and Analytics and leads a team of two to three AI/ML engineers. The workplace is hybrid.

Key responsibilities

• Own the solution design and technical roadmap for the AI stack on Microsoft Fabric, integrated with Azure AI Foundry and Azure OpenAI
• Evaluate and integrate data science and MLOps platforms such as Dataiku, Azure Machine Learning or Databricks
• Build data governance foundations for AI with tools such as Collibra or Informatica, covering cataloguing, lineage, quality and master data
• Define AI development guidelines and responsible AI standards across the full lifecycle of models and agents
• Lead model selection and rationalisation, weighing LLMs and SLMs on capability, latency and cost
• Set and enforce token consumption and cost governance, including budgets, dashboards, chargeback and optimisation
• Own standards and governance for Microsoft Copilot Studio agents alongside Fabric and Azure-based agents
• Design integrations between AI solutions and SAP (S/4HANA, Datasphere), Cognite Data Fusion and other OT/IT platforms
• Champion AI adoption through Microsoft 365 Copilot and low-code agent builders within agreed guardrails
• Present architecture decisions, costs and value delivered to executive forums
• Lead, mentor and grow a small team of engineers and developers

Required profile

• Bachelor's degree in Computer Science, Data Science, Engineering or similar; a Master's is preferred
• 12+ years in data and AI, including 5 to 8 years hands-on in AI, machine learning or advanced analytics
• Production AI/ML delivery in enterprise, industrial or manufacturing environments
• At least 4 to 5 years leading or mentoring technical teams

Required skills

• Deep, hands-on Microsoft Fabric expertise (Data Factory, OneLake, Lakehouse, Synapse Data Science, Real Time Intelligence, Power BI)
• Experience with Dataiku, Databricks, Azure Machine Learning or similar, plus Collibra or Informatica
• Hands-on Microsoft Copilot Studio experience
• Proven experience with LLM cost governance, token monitoring and model rationalisation (FinOps for AI)
• Experience integrating AI with SAP and industrial platforms such as Cognite
• Familiarity with frameworks such as NIST AI RMF, ISO/IEC 42001 or the EU AI Act
• Knowledge of Semantic Kernel, LangChain/LangGraph or MCP-based tool integration is highly desirable
• Strong Python and SQL