Role: Gen AI Architect
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Analytics - Other
UG: Any Graduate
Key Responsibilities:
ò Engage Customers: Partner with client architects and executives to translate business goals into scalable GenAI use cases.
ò Design Architectures: Lead design of RAG pipelines, agentic workflows, and AI copilots using LangChain / LlamaIndex, OpenAI / Azure OpenAI, and Databricks.
ò Hands-on Leadership: Develop prototypes and proof-of-concepts; guide a team of AI and data engineers to productionize solutions.
ò Integration: Connect LLM workflows with enterprise APIs (.NET, Power Platform, web microservices) and vector databases (FAISS, Pinecone, Qdrant).
ò Governance & Communication: Drive technical documentation, estimation, and risk discussions; confidently present to senior business stakeholders.
Must-Have Skills:
ò 8 to 12 years in software / AI engineering, including 2+ years of LLM or applied GenAI development.
ò Deep hands-on expertise with Python, LangChain/LlamaIndex, vector DBs, and OpenAI/Azure OpenAI APIs.
ò Strong Azure foundation Cognitive Services, Databricks, Synapse, AI Studio, or equivalent cloud stacks.
ò Experience leading RAG and agentic AI solutions from design through delivery.
ò Solid grounding in prompt engineering, context optimization, and AI evaluation.
ò Excellent communication ù can explain AI design decisions to CXO and technical audiences alike.
ò Proven team leadership experience across data, ML, and application engineering.