Gen AI Architect

Job Title :Gen AI Architect
Job Type :W2 Type
Location:Virginia City, NV, USA
Bill rate:$80/Hr on w2
Duration : 10 months
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Key Responsibilities :

• Define and drive the overall AI and data architecture strategy for the OMAI program.
• Architect enterprise-scale GenAI solutions leveraging LLMs, Agentic AI, RAG, Knowledge Graphs, and AI Agents.
• Design and implement Customer Data Platform (CDP) integrations to enable unified customer intelligence and personalized AI experiences.
• Build scalable AI platforms using Google Cloud AI and ML services.
• Lead architecture reviews, solution design workshops, and technical governance.
• Design secure AI architectures compliant with banking, risk, regulatory, and data privacy requirements.
• Partner with Product Owners, Data Engineering, Risk, Fraud, and Compliance teams to deliver business outcomes.
• Establish AI MLOps, LLMOps, observability, monitoring, and responsible AI frameworks.
• Drive AI adoption through reusable architecture patterns, frameworks, and best practices.
• Provide technical leadership and mentoring to architects and engineering teams.

Required Skills :

• Generative AI & Agentic AI
• LLMs including GPT, Gemini, Claude, Llama, and open-source models.
• RAG architecture, vector databases, embeddings, semantic search.
• Multi-agent and Agentic AI frameworks.
• Prompt Engineering and Prompt Optimization.
• Fine-tuning approaches such as LoRA and QLoRA.
• AI Guardrails, Responsible AI, Explainability, and Hallucination Reduction.
• LangChain, LangGraph, LlamaIndex, Semantic Kernel.
• Google Cloud Platform Architecture
• Vertex AI, Gemini Models, Document AI, BigQuery, Dataflow, Pub/Sub, Cloud Run, GKE, Cloud Functions, Cloud Storage, Dataproc
• IAM and Security Architecture
• Customer Data Platform (CDP)
• Enterprise Customer Data Platform architecture.
• Customer 360 data modeling.
• Identity Resolution and Master Data Management.
• Real-time customer insights and personalization.
• Data governance, consent management, and privacy controls.
• Integration with marketing, analytics, and AI ecosystems.
• Data & AI Engineering, Python, SQL, Distributed Data Processing, Feature Engineering
• Vector Databases (Pinecone, Vertex AI Vector Search, Weaviate, FAISS)
• Knowledge Graphs, Data Lake and Data Mesh concepts

Banking Domain Expertise :

• Banking Operations
• Fraud Management
• Risk & Controls
• Regulatory Compliance
• Customer Servicing
• Operational Excellence Programs
• Financial Crimes/Fraud Analytics

Equal Opportunity Employer : We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.