Lead Deployed AI Engineer

Enablis is an AI-native technology transformation consultancy that embeds artificial intelligence into client delivery and its own operations. The Lead Deployed AI Engineer owns end-to-end technical execution of client engagements, building and deploying AI prototypes, proofs of concept, and MVPs while extending the internal AI platform and developing reusable delivery assets.

Responsibilities:

• Building working AI proofs on real client data during Assess engagements, the prototype is the discovery tool, built while the value case is made
• Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration)
• Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony
• Engineering for production from day one: guardrails, security and integration into the client's estate, scalability and telemetry, designed inside the build, not bolted on
• Proving trustworthiness with evals: golden datasets, automated evaluation pipelines, accuracy and drift monitoring and hill-climbing on the results
• Wrangling client data: pipelines, messy edge cases, integrations that are harder than they look
• Owning and evolving our internal AI platform; codifying repeatable field patterns into reusable Enablis assets
• Leading advanced technical sessions in our upskilling programme, and upskilling client engineers during Transform engagements
• Evaluating emerging AI tools, frameworks and protocols, and making pragmatic adoption calls