AI Infrastructure Architect

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.

Professional & 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.15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

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