Project Role : AI Infrastructure Architect

Project Role Description : Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost and scalability of computational stack. Advise on AI infrastructure technology and vendor evaluation, selection and full stack integration.

Must have skills : Large Language Models (LLMs)

Good to have skills : NA
Minimum
7.5 year(s) of experience is required

Educational Qualification : 15 years full time education

Summary:
Design and guide implementation of production-grade agentic AI solutions, with hands-on ownership of critical architectural components and integration patterns.
Hands-on proficiency building reference implementations with LangGraph, OpenAI Agents SDK, Google ADK, PydanticAI or CrewAI, and using Cursor, Claude Code or Codex to accelerate coding while retaining control over orchestration, state, testing and failure recovery.
Must have personally designed and implemented major components of AI systems that reached production. Prototype-only experience does not meet the requirement.





Roles Responsibilities:

- Design agent workflows, orchestration, tool use, memory, retrieval, and human-in-the-loop patterns.

- Translate business requirements into scalable technical designs.

- Build reference implementations and validate architecture through working code.

- Integrate agents with enterprise APIs, databases, workflow systems, and identity platforms.

- Define evaluation, tracing, guardrails, recovery, and operational monitoring.

- Review code and designs, resolve technical risks, and mentor engineers.

- Support production readiness, performance tuning, and incident resolution.

Qualified Technical Skills:

- Hands-on Python and modern agentic or GenAI frameworks.

- RAG, vector and graph retrieval, prompt and context engineering, and structured outputs.

- Microservices, APIs, queues, containers, cloud deployment, and CI/CD.

- Security, observability, model evaluation, latency, and cost controls.

Qualification 15 years full time education

📌 AI Infrastructure Architect (Karnataka)
🏢 Accenture
📍 Karnataka