Job title : Python AI Solution ArchitectLocation: Atlanta, GAClient: Retail clientRole SummaryWe 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
- API-driven integrations and enterprise AI security/governance