Job highlights

- . Strong experience with Google Cloud Platform. Training and Mentoring talent. Hands-on AI / ML solution architecture experience. Vertex AI (training,pipelines,deployment). Python and ML frameworks (TensorFlow / PyTorch / scikit-learn).
- Experience: 10 14 years. Summary: .

Role: AI Solution Architect Gemini Location: Open to Bangalore, Chennai or Hyderabad

Experience: 10 14 years

Summary:

Looking for an AI Solution Architect with strong hands-on experience designing and deploying AI/ML solutions on Google Cloud. The role involves end-to-end AI architecture, close collaboration with business and engineering teams, and ownership of production-grade AI solutions.

Key Responsibilities:

- Design end-to-end AI/ML architectures on GCP
- Implement AI solutions using Vertex AI, BigQuery ML, and GenAI services




- Define MLOps pipelines and deployment strategies
- Guide teams on scalable, secure, cost-optimized AI solutions
- Collaborate with stakeholders to convert business problems into AI use cases

Must-Have Skills:

- Strong experience with Google Cloud Platform
- Training and Mentoring talent
- Hands-on AI/ML solution architecture experience
- Vertex AI (training, pipelines, deployment)
- Python and ML frameworks (TensorFlow / PyTorch / scikit-learn)
- Experience deploying models to production (Cloud Run / GKE)

Valuable to Have:

- Generative AI / LLM experience (RAG, embeddings, APIs) on both cloud and on-premises
- GCP certifications (Architect / ML Engineer)

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