AI Solution Architect

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)

Good to Have:

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