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)
Valuable to have skills : Microsoft Azure Data Services
Minimum 18 year(s) of experience is required
Educational Qualification : 15 years full time education

Role Summary / Description

AI Powered Tech Talent
- Senior Architect / Lead-Principal AI Architect for AI LLM Technology Architecture, serving as the accountable architecture authority for enterprise AI solutions on Azure.
- Own the complete, end-to-end architecture of advanced AI platforms and solutions spanning classical machine learning, generative AI, LLM applications, agentic systems, context engineering, model platforms, inference, AI operations and enterprise integration.




- Operate at executive level with CIOs, CTOs, senior business leaders and practice leadership to shape AI strategy, define transformation roadmaps and ensure investments are purposeful, sequenced and aligned to business outcomes.
- Bring strong industry experience in banking, insurance, healthcare, public sector, retail or energy to ensure the AI architecture addresses domain workflows, regulatory expectations, risk controls, data realities, adoption considerations and measurable value delivery.
- Lead multiple domain architects and senior SMEs across agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, model platforms and inference to create a cohesive enterprise-ready architecture.

Key Responsibilities
- Partner with client executives and business leaders to define the enterprise AI strategy, target-state architecture and investment roadmap across platforms, d

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