Python‑focused AI Solution Architect

We are seeking a Python‑focused AI Solution Architect to design, build, and deliver enterprise‑grade AI/GenAI solutions on GCP. This role owns end‑to‑end AI architecture and works closely with product, engineering, and business teams to deploy scalable, responsible AI solutions.

Key Responsibilities

• Lead end‑to‑end AI solution architecture from concept to production
• Develop and deploy Python‑based AI/ML and GenAI solutions using PyTorch, TensorFlow, Scikit‑learn, and GenAI frameworks
• Design and implement GenAI solutions on GCP using Gemini (RAG, embeddings, agents, prompt engineering)
• Build 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
• Support POCs, pilots, and production deployments, including performance and cost optimization
• Collaborate in Agile teams using JIRA and Confluence and provide technical leadership as needed

Required Skills & Experience

• 8+ years overall experience with 3–5+ years in AI/ML or GenAI architecture
• Strong, hands‑on Python expertise building production‑grade AI systems
• Proven experience architecting AI solutions on Google Cloud Platform
• Hands‑on experience with Gemini models and GenAI workflows (RAG, agents, embeddings)
• Strong integration experience with Oracle and Salesforce platforms
• Ability to work independently and make architectural decisions in ambiguous environments

Technical Skills

• Python (advanced), AI/ML frameworks, and GenAI tooling
• GCP: Vertex AI, BigQuery, Cloud Functions/Run, IAM, monitoring
• GenAI patterns: RAG, vector stores, orchestration, grounding