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 : Amazon Web Services (AWS)
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Role Summary / Description

AI Powered Tech Talent
- Experienced and senior AI/LLM Technology Architecture Engineer, responsible for designing and delivering end-to-end AI platform architectures on AWS.
- Own the technical architecture for up-to-date AI systems spanning classical machine learning, generative AI, LLM applications, RAG, agentic workflows and enterprise AI platform integration.
- Act as the technical authority for one or more architecture domains such as agentic application design, AI security and trust,



AI operations and observability, data and knowledge engineering, model platforms and inference.
- Bring practical industry experience in banking, insurance, healthcare, retail, telecom or capital markets to shape domain-grounded solutions, define controls, and ensure the AI architecture aligns with real business processes and enterprise standards.

Key Responsibilities
- Translate business strategy and product goals into a technical vision, architecture blueprint, non-functional requirements and implementation roadmap.
- Lead stakeholder workshops to align on feasibility, project scope, solution boundaries, delivery dependencies and client-facing expectations.
- For AWS, define AWS-native GenAI platform architecture evaluate build-versus-buy choices across Bedrock, SageMaker and open-source frameworks design RAG and agent patterns using S3, Knowledge Bases and OpenSearch establish guardrails, a

📌 AI Infrastructure Architect (Pune)
🏢 Accenture
📍 Pune