À propos de ce poste AI Stack Development Lead chez Envision Employment Solutions
Envision Employment Solutions is currently looking for an AI Stack Development Lead for one of our partners, an international chemical manufacturing company,
THE ROLE
The AI Stack Development Lead owns the design, architecture and technical direction of an enterprise AI stack built on Microsoft Fabric. The role sets how machine learning models and AI agents are designed, built, governed and connected to SAP and industrial platforms such as Cognite, and owns model selection and AI cost governance as the agent portfolio grows. Reporting to the Head of Data, AI and Analytics, the role leads a team of two to three AI/ML engineers.
WHAT YOU’LL DO
- 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 everyday 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
WHAT WE’RE LOOKING FOR
- 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
- 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
- At least 4 to 5 years leading or mentoring technical teams
YOU’LL THRIVE HERE IF YOU
- Are equally comfortable setting enterprise standards and getting into the detail of a solution design
- Treat AI spend as seriously as AI capability
- Enjoy turning complex, messy industrial data into something the business actually uses
- Can explain architecture choices to a CEO as clearly as to an engineer
- Like working across several operating companies and countries
WHY THIS ROLE
This is a chance to build the AI backbone of a global manufacturer at the moment it is scaling. You'll shape the platform, the standards and the team, with direct influence on investment decisions and a seat close to executive leadership.
