AI Architect
Location: Pune, Bengaluru, Hyderabad, Mangaluru, Chennai, Delhi, Kolkata, Mumbai
• Experience: Senior Level
• Openings: 1
Job description
· Should
Lead the design and development of agentic systems. This involves selecting the
right frameworks (like CrewAI, LangGraph, etc or proprietary solutions) and
architectural patterns.
· Engineer
dynamic context using memory modules, prompt templates, and retrieval
strategies.
· Should
Define and enforce guardrails and context governance across agent interactions
and LLM outputs. Prioritize security by implementing secure architecture
patterns
· Design
and automate Continuous Integration and Continuous Delivery (CI/CD) pipelines,
leveraging tools like Azure DevOps, GitHub Actions, or similar systems
· Should
have 10+ years of experience in business consulting/Product management/data
analysis roles with a focus on enterprise-scale data systems and tooling
· Proficiency
in GenAI stack and scripting language such as Python. Hands-on
experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, or
equivalent, including designing multi-agent workflows and tool-augmented
reasoning systems.