Generative AI Architect

Description :

Key Responsibilities :

- Engage Customers : Partner with client architects and executives to translate business goals into scalable GenAI use cases.

- Design Architectures : Lead design of RAG pipelines, agentic workflows, and AI copilots using LangChain / LlamaIndex, OpenAI / Azure OpenAI, and Databricks.

- Hands-on Leadership : Develop prototypes and proof-of-concepts; guide a team of AI and data engineers to productionize solutions.

- Integration : Connect LLM workflows with enterprise APIs (.NET, Power Platform, web microservices) and vector databases (FAISS, Pinecone, Qdrant).

- Governance & Communication : Drive technical documentation, estimation, and risk discussions; confidently present to senior business stakeholders.

Must-Have Skills :

- 10- 14 years in software / AI engineering, including 3+ years of LLM or applied GenAI development.

- Deep hands-on expertise with Python, LangChain/LlamaIndex, vector DBs, and OpenAI/Azure OpenAI APIs.

- Strong Azure foundation Cognitive Services, Databricks, Synapse, AI Studio, or equivalent cloud stacks.

- Experience leading RAG and agentic AI solutions from design through delivery.

- Solid grounding in prompt engineering, context optimization, and AI evaluation.

- Excellent communication can explain AI design decisions to CXO and technical audiences alike.

- Proven team leadership experience across data, ML, and application engineering.