Role Purpose :

As Gen AI & ML Architect, you will own the end-to-end design, development, and delivery of production-grade Gen AI and Machine Learning solutions for the company's clients. You will lead a team of 5-10 AI/ML engineers, drive technical architecture decisions, and serve as a hands-on contributor writing code, reviewing models, and solving complex problems alongside your team.

Key Responsibilities :

- Lead, manage, and mentor a team of 5-10 Gen AI & ML Developers, driving accountability, growth, and technical excellence.

- Design and build production-grade agentic AI systems for real customer use cases including multi-agent orchestration, autonomous reasoning pipelines, and tool-use patterns.

- Work hands-on with leading LLM providers : OpenAI (GPT-4o, o1), Anthropic Claude, Google Gemini, and open-source models (LLaMA, Mistral).

- Design and deliver end-to-end ML pipelines : data ingestion, feature engineering, model training, evaluation, and deployment.

- Architect and deploy AI/ML workloads on AWS, Azure, and GCP using managed AI services and custom containerised deployments.

- Contribute to and guide development of AI-powered web applications using React, Angular, Next.js on the frontend and Node.js on the backend.

- Serve as the primary technical interface for client engagements leading discovery workshops, solution walkthroughs, and sprint demos.

Tech Stack :

- Frameworks : LangChain, LangGraph, AutoGen, CrewAI

- Cloud : AWS, Azure, GCP, SageMaker, Vertex AI

- Databases : PostgreSQL, MySQL, MongoDB, DynamoDB, Redis, Elasticsearch

- Tools : MLflow, Weights & Biases, Kubeflow, Pinecone, Weaviate, Qdrant

Required Qualifications :

- 8 to 10 years of total software/AI engineering experience.

- Minimum 3 years in hands-on Generative AI & ML project delivery in production environments.

- Proven experience leading a team of 5-10 AI/ML developers.

- B.E. / B.Tech / M.Tech in Computer Science, AI/ML, Data Science, or a related technical discipline.