The Senior AI/ML Engineer helps move AI from consultant-led pilots to a sustainable internal capability by combining ML engineering, GenAI integration, and prompt engineering into one senior role. Using Microsoft Foundry, formerly Azure AI Foundry, and the broader Azure AI stack-grounded in governed Microsoft Fabric and One Lake data-this role builds, deploys, monitors, and continuously improves production AI features such as search, personalization, content generation, and internal copilots, reducing reliance on high-cost consulting. The role may initially be proven through consulting support and then internalized once the approach is established.
ESSENTIAL FUNCTIONS:Production of AI Capability- Build and deploy production AI features; search, personalization, content generation, and internal copilots on Microsoft Foundry (Azure AI Foundry).
- Implement LLM and RAG solutions grounded in governed One Lake data, using the Model Context Protocol (MCP) to connect models to data and tools.
- Develop and tune prompts, retrieval strategies, and agent workflows via the Foundry Agent Service and model catalog.
MLOps Foundation- Establish deployment, monitoring, evaluation, and cost-management practices around AI projects - recognizing AI products require continual refinement, not set-and-forget delivery.
- Implement CI/CD for AI artifacts, prompt/model versioning, and automated evaluation.
- Partner with data engineering to keep Fabric/One Lake data AI-ready.
Risk Management & Guardrails- Implement guardrails, prompt-injection defenses, output validation, and PII handling.
- Ensure technical controls stay aligned with Richemont's requirements and policies.
- Document responsible-AI practices and model evaluations.
Collaboration & Mentorship- Work under AI Engineering Manager and partner with data science and data engineering on shared infrastructure.
- Mentor junior engineers and contribute to the AI/ML specialization pathway.
TECHNICAL COMPETENCIES (REQUIRED):- Microsoft Foundry (Azure AI Foundry) hands-on experience with the model catalog, Foundry Agent Service, evaluation, and deployment.
- Azure AI production experience with Azure AI services / Azure OpenAI and LLM/RAG architectures.
- MCP, RAG & LLMs demonstrated experience with the Model Context Protocol (MCP), retrieval-augmented generation, and prompt engineering.
- Microsoft Fabric & One Lake experience grounding AI on governed Fabric/One Lake data (Lakehouse, Direct Lake, shortcuts).
- MLOps CI/CD, monitoring, evaluation, and cost management; strong Python.
DESIRED EDUCATION AND EXPERIENCE:- 5+ years in ML/AI engineering, with production generative-AI delivery (RAG, copilots, search, or personalization).
- Hands-on Microsoft Foundry / Azure AI Foundry and Azure AI experience strongly preferred.
- Experience with MCP, RAG, and LLM integration; strong prompt-engineering skills.
- Familiarity with Microsoft Fabric / One Lake and governed data foundations.
- Strong Python; solid MLOps and software-engineering fundamentals.
- Bachelor's or Master's in Computer Science, Machine Learning, or related field; relevant Azure AI certifications a plus.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
