Related skills
javascript python databricks typescript rag📋 Description
- Lead complex, multi-system AI deployments end-to-end.
- Own the AI workshop program for your pod; customize modules per customer.
- Architect multi-agent solutions for customer workflows.
- Design client-specific MCP resource packs for smarter AI surfaces.
- Own Deployment Kit quality for non-engineering users to follow.
- Lead Solutions Enablement Sprints with training materials.
🎯 Requirements
- 6–10+ yrs prod software engineering; 3+ yrs deploying AI/ML; deep Python; TS/JS.
- Proven track record leading complex enterprise engagements; manage customer relationships.
- Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimization.
- System architecture across enterprise systems, cloud, and AI services; explainable to CIO and junior engineers.
- Create reusable production-ready artifacts; think in platforms, not projects.
- Travel 25–50% (domestic and international) and eligible to work in the UK.
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