Our Client Currently looking for Generative AI Architect

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.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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