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Senior AI Technology Architect at U.S. Bank | JobVerse
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Senior AI Technology Architect
U.S. Bank
Website
LinkedIn
Senior AI Technology Architect
Chicago, Illinois, United States of America
Full Time
3 hours ago
$139,230 - $163,800 USD
No Visa Sponsorship
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Key skills
AWS
Azure
Cloud
Distributed Systems
Microservices
AI
ML
Generative AI
LLM
OpenAI
Agentic
IAM
SageMaker
Bedrock
Communication
About this role
Role Overview
Lead design of enterprise AI architecture and reusable platform capabilities
Define architectural standards, governance models, and best practices for AI implementations
Evaluate and recommend AI platforms and tooling such as Azure AI services, AWS AI/ML platforms, OpenAI-based solutions, and enterprise LLM platforms
Develop architecture roadmaps aligned to business strategy and enterprise technology direction
Guide engineering teams in implementing scalable AI solutions leveraging cloud-native architectures, APIs, and distributed systems
Design solutions with sufficient technical depth to support implementation and operationalization
Identify risks and ensure alignment with security, identity, network, and data governance requirements
Influence decisions around model deployment strategies, integration patterns, and enterprise AI platform design
Requirements
Bachelor’s degree or equivalent work experience
Ten (10) or more years of experience in technology architecture, engineering, or enterprise systems design
Deep expertise in enterprise architecture and platform design
Experience building and scaling AI/ML platforms using cloud services (e.g., Azure ML, AWS SageMaker, Bedrock)
Strong understanding of cloud infrastructure, including compute, networking, storage, identity (IAM), and security architecture
Experience designing distributed systems and integrating enterprise platforms using APIs, microservices, and event-driven architectures
Demonstrated understanding of generative AI and agentic AI, including evaluation of latency, reasoning, orchestration, and safety considerations
Experience designing or supporting LLM-based applications, multimodal AI solutions, or document intelligence platforms
Strong experience evaluating vendors and enterprise technology ecosystems
Experience defining governance models and enterprise architecture standards
Strong executive communication and influencing skills.
Tech Stack
AWS
Azure
Cloud
Distributed Systems
Microservices
Benefits
Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
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