Description :

About the job :

We are looking for a Senior / Lead GenAI Architect with deep expertise in Python and strong experience designing, leading, and scaling Generative AI solutions.

Key Responsibilities :

- Architect and lead end-to-end GenAI systems using Python

- Design scalable LLM-based architectures (RAG, agents, orchestration layers)

- Lead technical decisions, code standards, and best practices

- Mentor engineers and review architecture & code

- Build and optimize prompt strategies, embeddings, and vector pipelines

- Integrate GenAI solutions with enterprise systems via APIs

- Drive model evaluation, governance, security, and cost optimization

- Collaborate with product, data, and business stakeholders

Required Skills :

- Expert-level Python (clean, scalable, production-grade code)

- Strong hands-on experience with LLMs / Generative AI

- Deep understanding of RAG, embeddings, vector databases

- Experience with LangChain / LlamaIndex / similar orchestration frameworks

- API design, microservices, and system architecture

- Experience leading teams or acting as technical lead / architect

Good to Have :

- Cloud-native GenAI deployments (AWS / Azure / GCP)

- Experience with model deployment, monitoring, and guardrails

- Knowledge of ML Ops / LLM Ops

- Exposure to enterprise security, compliance, and data privacy

Experience :

- 8+ years overall experience

- 2-3 years in GenAI / AI-driven systems

- Prior experience as Tech Lead / Architect preferred