Gen AI Data & Solution Architect
- Source: Naukri
- Michael Page
- Hybrid
- Hyderabad
- Full-Time
- Mid level
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
Skills
- google-cloud-platform
- vertex
- Terraform
- Python
- claude-code
- Docker
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