AI Architect - Chicago, IL

Job Summary:
We are looking for an experienced AI Architect with expertise in Generative AI, LLMs, Agentic AI Frameworks, Cloud Platforms, and Enterprise Architecture. The ideal candidate will design and implement AI-driven solutions, define AI architecture standards, and work closely with business, engineering, security, and compliance teams.

Key Responsibilities:
Translate business requirements into AI and Agentic AI solutions.
Design and define architectures for AI agent frameworks and LLM-based applications.
Build RAG-based solutions integrating enterprise data, APIs, and workflows.
Establish AI governance, security, compliance, and risk management standards.
Define AI agent lifecycle management, testing, deployment, and monitoring processes.
Collaborate with stakeholders, engineering, QE, security, and compliance teams.
Ensure scalability, reliability, observability, and cost optimization of AI platforms.
Support client discussions, solution presentations, and AI strategy initiatives.

Required Skills:
Generative AI (GenAI)
Large Language Models (LLMs)
Agentic AI Frameworks
LangGraph
AutoGen
CrewAI
Semantic Kernel
RAG (Retrieval-Augmented Generation)
Vector Databases
Embeddings
Prompt Engineering
Python
APIs
Microservices
Distributed Systems
Azure / AWS / Google Cloud Platform
AI Governance & Compliance
Observability & Monitoring

Preferred Qualifications:
14 18 years of IT experience.
3 5 years of experience working with GenAI and LLM-based solutions.
Experience in Banking or Financial Services environments.
Experience with AI governance and model risk management.