AI Architect
Job Location:
Job Location:
Chicago, IL - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
2 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Title: AI Architect
Location: Chicago IL (onsite)
Long Term Contract
No C2C W2 only
Location: Chicago IL (onsite)
Long Term Contract
No C2C W2 only
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.
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.
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 / GCP
AI Governance & Compliance
Observability & Monitoring
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 / GCP
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.
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.
