GCP GenAI Architect

Tasks

• Define enterprise AI & data architecture strategy
• Architect production-grade GenAI, Agentic AI & RAG solutions
• Lead GCP AI / Vertex AI platform architecture
• Design secure and compliant banking AI solutions
• Establish MLOps / LLMOps / AI observability frameworks
• Partner with Product, Data, Risk, Fraud & Compliance teams
• Create reusable AI architecture patterns and ent

Requirements

• 15+ Years ONLY
• Banking / Fraud / Risk Controls experience is strongly required.
• Generative AI & Agentic AI
• LLMs - GPT | Gemini | Claude | Llama
• RAG | Embeddings | Semantic Search
• Multi-Agent AI Architectures
• Prompt Engineering & Optimization
• Fine-Tuning - LoRA / QLoRA
• AI Guardrails & Responsible AI
• LangChain | LangGraph | LlamaIndex | Semantic Kernel
• Vector Databases
• Knowledge Graphs
• Google Cloud Platform experience is critical
• Vertex AI / Gemini
• BigQuery
• Dataflow
• Pub/Sub
• Cloud Run
• GKE
• Cloud Functions
• Cloud Storage
• Dataproc
• IAM & Cloud Security Architecture
• Experience designing enterprise customer-data and AI ecosystems:
• Enterprise CDP Architecture
• Customer 360° Data Modeling
• Identity Resolution / MDM
• Real-Time Customer Insights
• Personalization
• Data Governance
• Consent & Privacy
• Marketing / Analytics / AI Ecosystem Integration
• Python | SQL
• Distributed Data Processing
• Feature Engineering
• Pinecone
• Vertex AI Vector Search
• Weaviate
• FAISS
• Data Lake / Data Mesh

Schedule

• C2C

Location

• Irving, TX OR Jacksonville, FL