Agentic AI Technical Architect/ Lead AI Engineer

Agentic AI Technical Architect/ Lead AI Engineer

Define the solution approach, architecture blueprint, and scalable platform design.

Market-facing title: Lead AI Engineer / Technical Architect.

Purpose: Own the reference architecture while remaining hands-on in critical implementation, code review, and engineering mentorship.

Core responsibilities

• Define application architecture across model access, orchestration, retrieval, data, APIs, identity, and observability.
• Build initial reference components and review production code.
• Set standards for structured output, state, memory, asynchronous processing, testing, and failure handling.
• Establish evaluation, regression, security, and cost/latency practices.
• Mentor four early-career engineers through pairing, design review, and code review.
• Partner with the Product Manager to convert user workflows into technically feasible product increments.

Required evidence

• 7-9 years total experience; keep maximum experience under 10 years for this mandate.
• Strong Python plus TypeScript/JavaScript or Java.
• Production application and API design, cloud delivery, containers, and CI/CD.
• Hands-on RAG, tool/function calling, agent orchestration and model evaluation.
• Current coding evidence and experience guiding less-experienced engineers.

Required Capabilities

Software and systems architecture

• Coherent service, data, API, state, and failure design

LLM/RAG/agent engineering

• Production example or deep practical build evidence

Hands-on coding recency

• Can implement, debug and review code live

Reliability, security, and evaluation

• Test, tracing, guardrail, and recovery strategy

Cloud/data/integration

• Practical platform and enterprise integration decisions

Mentoring and product judgment

• Raises team capability and makes pragmatic trade-offs