Description

Own the end-to-end architecture and delivery of Python-based AI and GenAI solutions on Google Cloud Platform.

Responsibilities

• Design and implement GenAI solutions using Gemini, including RAG, embeddings, agents, and prompt engineering.
• Build production-grade Python APIs and services for AI inference and orchestration.
• Integrate AI capabilities with Oracle (Fusion, ERP) and Salesforce (Sales/Service/Data Cloud, APIs).
• Define scalable architectures covering data ingestion, model inference, security, and observability.
• Ensure Responsible AI practices including governance, privacy, explainability, and access control.

Required Skills

• 8+ years overall experience with 3–5+ years in AI/ML or GenAI architecture.
• Advanced Python expertise building production-grade AI systems.
• Strong hands-on experience architecting AI solutions on GCP (Vertex AI, BigQuery, Cloud Functions/Run, IAM, monitoring).
• Hands-on experience with Gemini models and GenAI workflows (RAG, vector stores, orchestration, grounding).
• Strong integration experience with Oracle and Salesforce platforms.
• Proficiency with PyTorch, TensorFlow, and Scikit-learn.
• Ability to work independently and make architectural decisions in ambiguous environments.
• Experience supporting POCs, pilots, and production deployments with performance and cost optimization.

Key Skills

Education

Any Gradute