Generative AI Data & Solution Architect

Job Description :

Role & Responsibilities :

- 8+ years of experience in designing and implementing modern Data, Machine Learning & LLM Based Agentic solutions, with at least 5 years in a technical lead or architect role for advanced analytics products.

- Strong expertise in GCP AI and data services such as Vertex AI, Big Query, workflows, Pub/Sub, AI APIs, Cloud Functions, Terraform etc.

- Solid understanding of data architecture principles and hands-on experience collaborating with data engineers to design scalable data pipelines.

- Prior hands-on experience in software development (Python) and familiarity with modern full-stack frameworks while having experience to leverage coding agents like CodeX/Claude Code/Copilot to hasten coding.

- Deep knowledge of machine learning workflows, MLOps patterns, and production deployment architectures.

- Prior experience of defining & implementing GenAI solutions using LLMs, RAG, Vector Databases, agent frameworks and prompt engineering techniques.

- Experience defining and managing Git workflows, reviewing PRs, and ensuring code quality governance.

- Experience with CI/CD, Docker/containers, and automated testing for AI products.

Preferred candidate profile :

- Google Cloud Professional Cloud Architect & Machine Learning Engineer certification is a plus.

- Proven ability to work cross-functionally with data engineers, data scientists, MLOps engineers, full stack developers, and product managers.

- Strong communication, documentation, and stakeholder management skills.

- Experience of delivering at least 2 advanced Analytics programs in the CPG / FMCG space.