AI Value Architect

About the role

The AI Value Architect owns the end‑to‑end AI value journey for a specific business area, turning business outcomes into AI solutions and leading a dedicated squad of Forward Deployed AI Engineers.

Key responsibilities

• Own the AI value journey for a business area, from discovery through production and measurable impact.
• Translate business needs into a prioritized AI backlog and make decisions on what to build, defer, or discard.
• Lead a standing squad, set technical direction, and ensure quality, evaluation, security and cost are on track.
• Stay hands‑on by coding alongside the team and shaping the agentic architecture.
• Define success measures, feedback loops and validation gates to demonstrate business impact.
• Align AI efforts across squads, find synergies, and prevent parallel reinvention.
• Act as the AI counterpart to business leadership, building trust and managing expectations.
• Coach the squad and business partners on responsible AI use and raise AI fluency.

Required profile

• Deep business understanding, preferably in aviation or a similarly operations‑heavy domain.
• Hands‑on experience building and shipping agentic AI and production software.
• Track record of single‑threaded ownership of a product or outcome from discovery to measurable impact.
• Experience leading, coaching and growing a small technical team.
• Strong grasp of the agentic AI stack, including LLM orchestration, tool calling, RAG, MCP integrations, guardrails, evaluation, and trade‑offs of latency, cost and reliability.
• Fluent English and comfortable working in a culturally diverse, international team.

Required skills

• LLM orchestration
• Tool calling
• Retrieval‑augmented generation (RAG)
• MCP integrations
• AI guardrails and evaluation
• Security and cost management for AI systems