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# Senior AI Architect Gen AI & Agentic AI

- **Company:** Siri InfoSolutions Inc
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $130,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Computing Security, Continuous Integration, Distributed Systems, Github, Python (Programming Language), Performance Tuning, Systems Development Life Cycle, Tensorflow, Pytorch, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Generative AI, Fastapi, Event Driven Architecture, AI Platforms, Scikit Learn, Kubernetes, Apache Kafka, Machine Learning Operations, Virtual Agents, Api Design, Restful APIs, Terraform, GPT, Docker, Microservices
- **Published:** August 6, 2026
- **Apply:** https://www.careerjet.com/jobad/us8a77a8563307d45213357aa966457015

## About the Role

AI / GenAI
Hands-on experience with GPT, Gemini, Claude, Llama, RAG, Prompt Engineering, Fine-Tuning, Model Evaluation.
Experience with Agentic AI frameworks such as LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, or Google ADK.
Engineering
Strong hands-on Python (mandatory), Java, FastAPI, REST APIs.
Enterprise architecture expertise in Microservices, Event-Driven Architecture, Kafka, API-first design, and distributed systems.
AI/ML & Cloud
TensorFlow, PyTorch, Scikit-Learn, MLOps, LLMOps.
Azure OpenAI, Google Vertex AI, AWS Bedrock.
Kubernetes, Docker, GitHub, CI/CD, Terraform, Cloud Security.
Banking Domain
Experience in Consumer Banking, Wealth Management, Payments, Capital Markets, Treasury, Risk, Compliance, KYC, AML, or Fraud.
Preferred
Experience building enterprise AI platforms, AI Factories, Agent Marketplaces, or Agentic AI solutions
Knowledge of AI Governance, Responsible AI, and Model Risk Management in regulated financial institutions.
Experience leading global teams and executive stakeholder engagement.

## Description

Lead the architecture, design, and implementation of enterprise-scale AI, Generative AI, and Agentic AI solutions across Banking, Wealth, Payments, Risk, Operations, and Technology functions. Drive AI strategy, build reusable AI platforms, and deliver business transformation while ensuring security, governance, regulatory compliance, and scalability.
Key Responsibilities
Define enterprise AI/GenAI architecture, standards, and roadmaps.
Design and deliver GenAI, RAG, multi-agent, and intelligent automation solutions.
Architect AI platforms leveraging LLMs, vector databases, model orchestration, and reusable AI services.
Lead Business, Operations and Tech AI use cases across KYC, AML, Fraud, Wealth Advisory, Operations, Contact Center, SDLC, and Developer Productivity
Establish AI governance, Responsible AI, model risk management, security guardrails, and observability frameworks.
Partner with CTOs, Product Owners, Data Scientists, and Engineering teams to take AI solutions from concept to production.
Mentor architects and engineering teams on AI best practices.


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