Description

Key Skills: LLM, Semantic Search, Vector Databases, AI/ML, Retrieval-Augmented Generation (RAG), Agentic AI, AI Architecture

Roles & Responsibilities:

• Define and drive architecture standards for AI-native, agentic, and vector-search-based services.
• Develop a common architecture roadmap across multiple engineering teams.
• Partner with architecture teams to align platform investments and avoid duplication.
• Provide hands-on technical leadership through prototyping, design reviews, and technical guidance.
• Design scalable solutions using LLM, RAG, semantic search, and vector technologies.
• Advise senior leadership on AI/ML platform strategy and build-vs-buy decisions.
• Drive adoption of architecture standards across engineering organizations.
• Support teams in resolving complex technical and architectural challenges.

Experience Required:

• 14-20 years of experience in software architecture and technology leadership.
• Strong hands-on experience with LLM, RAG, semantic search, and vector databases.
• Deep knowledge of AI/ML architecture and retrieval-based systems.
• Experience designing agentic AI services and scalable platforms.
• Proven ability to define and implement technical standards across multiple engineering teams.
• Strong experience in architecture reviews, technical prototyping, and solution design.
• Experience working as a senior individual-contributor technical leader.
• Excellent communication and stakeholder management skills.

Good to Have:

• Experience with Spec-Driven Development or similar structured engineering methodologies.
• Experience in AI/ML infrastructure and platform strategy.
• Experience with build-vs-buy analysis and technology investment decisions.

Education: B.Tech M.Tech (Dual), B.E., B.Tech

Key Skills

Education

Any Graduate