AI Architect
Experience-12+
Locations-Gurgaon, Hyderabad, Noida, Pune

Key Responsibilities
Act as technical SME and collaborate with a team of IT professionals to design, develop and implement Microservices, AI applications
Define and design enterprise-grade AI/GenAI architectures (LLMs, RAG, Agent systems) with AI-first thinking across product lifecycle
Fix performance, scalability, and other issues in a very time-critical workplace.
Provide technical guidance to the team for all issues
Establish reference architectures across AWS, Azure, and GCP including application-layer best practices and reusable AI blueprints
Provide architectural recommendations and technology roadmaps to client and internal stakeholders
Define Design patterns, Multi Agent patterns, solution approaches and development guidelines
Establish benchmarks, standards, techniques, and mechanisms for defining, measuring, and optimizing non-functional requirements.
Architect solutions using OpenAI, Anthropic, Gemini, Mistral and others popular models
Design RAG pipelines with optimized retrieval, chunking,



embedding tuning, and grounding techniques
Integrate AI with enterprise systems using API-first, event-driven, and agentic orchestration patterns
Define AI governance frameworks covering prompt safety, monitoring, bias mitigation, and compliance
Design pipelines with feedback loops, observability, and continuous learning mechanisms
Optimize performance including latency, cost, token usage using prompt optimization and caching strategies
Develop reusable AI accelerators like prompt libraries, SDKs, copilots, utilities
Lead architecture/ideas reviews and drive AI-first mindset across teams and lifecycle phases
Lead AI adoption initiatives across the organization by staying current with industry trends and enabling teams through webinars, trainings, and thought leadership content
Contribute to organization in Design & development of frameworks, tools, accelerators that enhances the ability of techno

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