SENIOR ARCHITECT AI & ML / GENAI

SENIOR ARCHITECT – AI & ML / GENAI

We are hiring for a Senior Architect – AI & ML / GenAI opportunity in Pune for an experienced technology professional who can drive enterprise AI architecture, GenAI strategy, and large-scale AI transformation initiatives.

This is a senior-level architecture role for professionals who have strong experience across AI/ML, Generative AI, Agentic AI and enterprise architecture, with the ability to translate business objectives into scalable, secure and commercially viable AI solutions.

We are looking for professionals who combine strong AI/ML and GenAI technical depth with enterprise architecture and leadership experience.

Candidates with experience in Agentic AI, Multi-Agent systems, MCP, LLM architectures, AI governance, enterprise AI platforms and large-scale AI transformation programs will be particularly relevant.

Role Details

Experience: 12+ Years

AI/ML & GenAI Experience: 8–10 Years

Location: Pune

Interview Mode: F2F

Notice Period: Immediate to 30 Days

Key Technical Areas

• Enterprise AI/ML and Generative AI Architecture
• Agentic AI and Multi-Agent Systems
• MCP-based AI ecosystems
• A2A architecture and autonomous AI systems
• LLM-based enterprise solutions
• Graph-based reasoning and advanced AI architectures
• AI platform strategy and scalable solution design
• Multi-tenant and multi-account AI environments
• AI security, governance and Responsible AI
• Performance, latency and cost optimization
• Token economics and efficient LLM utilization
• AI risk management, compliance and auditability

The role involves defining and shaping enterprise-level AI and GenAI architecture while providing technical direction across strategic and large-scale programs.

You will work on the design of Agentic AI platforms, Multi-Agent ecosystems and MCP-based solutions, with a strong focus on scalability, security, reliability and business value.

The position also involves architecting complex AI systems that support autonomous planning, tool orchestration and human-in-the-loop controls, along with evaluating the right technologies and approaches for enterprise adoption.

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