- Lead the architecture and delivery of Generative AI and Agentic AI solutions for enterprise-scale use cases.

- Design scalable AI platforms leveraging LLMs, RAG, Multi-Agent Systems, and AI orchestration frameworks.

- Define solution architecture using platforms such as Azure OpenAI, AWS Bedrock, Vertex AI, or equivalent cloud-based AI services.

- Architect and integrate vector databases, LangChain, and LangGraph into enterprise AI solutions.

- Establish frameworks for prompt engineering, LLM evaluation, guardrails, and AI governance.

- Work closely with business, technology, and leadership stakeholders to translate business requirements into robust AI architectures.

- Drive technical decisions around scalability, security, performance, responsible AI, and production readiness.

- Provide architectural leadership across the AI lifecycle, from proof of concept through enterprise deployment.

Skillset :

- 12+ years of overall IT experience, with strong experience in solution/technical architecture.

- Proven expertise in Generative AI and Agentic AI solution design and implementation.

- Strong hands-on knowledge of LLMs, RAG, LangChain, and LangGraph.

- Experience architecting enterprise AI solutions using Azure OpenAI, AWS Bedrock, Vertex AI, or similar platforms.

- Strong understanding of Multi-Agent Systems and AI agent orchestration.

- Hands-on experience with Vector Databases and retrieval-based AI architectures.

- Strong knowledge of Prompt Engineering, LLM Evaluation, and AI Guardrails.

- Experience with AI Governance and Responsible AI practices.

- Excellent stakeholder management, communication, and solution architecture skills.

- Ability to lead enterprise AI initiatives and make architecture decisions across complex technology environments.