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