Senior AI Architect - Gen AI & Agentic AI

Hiring Alert | Senior AI Architect Gen AI & Agentic AI

Location: New York City, NY / Jersey City, NJ / Dallas, TX (Onsite)
Employment Type: Full-Time
Experience Required: 8 10 Years
Visa Type: USC / GC Only
Interview Mode: In-person (Final Round)

Must-Have Skills:

• Enterprise AI & Generative AI Architecture
• Agentic AI Architecture & Solution Design
• GPT, Gemini, Claude & Llama
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering & Optimization
• LLM Fine-Tuning & Model Evaluation
• LangGraph / LangChain
• AutoGen / CrewAI / Semantic Kernel / Google ADK
• Multi-Agent Systems & Intelligent Automation
• AI Platforms & Reusable AI Services
• Vector Databases & LLM Orchestration
• Python Development
• Java Development
• FastAPI & REST APIs
• Microservices Architecture
• Event-Driven Architecture
• Kafka & Distributed Systems
• API-First Architecture
• TensorFlow / PyTorch / Scikit-Learn
• MLOps & LLMOps
• Azure OpenAI
• Google Vertex AI
• AWS Bedrock
• Kubernetes & Docker
• GitHub & CI/CD
• Terraform & Cloud Security
• AI Governance & Responsible AI
• Model Risk Management
• AI Security Guardrails & Observability
• Enterprise AI Strategy, Standards & Roadmaps

Preferred Experience:

• Experience building enterprise AI platforms, AI Factories, or Agent Marketplaces
• Experience delivering GenAI, RAG, multi-agent, and intelligent automation solutions
• Experience with banking, wealth management, payments, capital markets, treasury, risk, compliance, KYC, AML, or fraud
• Experience leading AI initiatives across business, operations, and technology functions
• Experience taking AI solutions from concept through production
• Strong understanding of AI governance and Responsible AI practices in regulated financial institutions
• Experience with model risk management, security, compliance, and AI observability
• Experience leading global architecture and engineering teams
• Strong executive stakeholder management and communication skills
• Experience mentoring architects and engineering teams on AI best practices

Education:

Bachelor's Degree in Computer Science, Artificial Intelligence, Engineering, or related field preferred.

Tech Stack:

Generative AI | Agentic AI | GPT | Gemini | Claude | Llama | RAG | Prompt Engineering | Fine-Tuning | LLM Evaluation | LangGraph | LangChain | AutoGen | CrewAI | Semantic Kernel | Google ADK | Python | Java | FastAPI | REST APIs | Microservices | Kafka | Event-Driven Architecture | Distributed Systems | TensorFlow | PyTorch | Scikit-Learn | MLOps | LLMOps | Azure OpenAI | Google Vertex AI | AWS Bedrock | Kubernetes | Docker | GitHub | CI/CD | Terraform | Cloud Security | AI Governance | Responsible AI | Model Risk Management | AI Observability | Banking AI | KYC | AML | Fraud | Payments | Wealth Management