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U.S. Bank

Senior AI Platform Engineer

U.S. Bank

. Design, develop, and deploy scalable Generative AI solutions in an enterprise environment .

Posted 9/17/2026full-timeChicago • California • United StatesSenior💰 $124,355 - $146,300 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing, developing, and deploying scalable Generative AI solutions, with a strong focus on performance evaluation, secure coding practices, and compliance in regulated environments. Proficient in leveraging cloud platforms like Azure and AWS, along with modern development tools and methodologies to ensure operational stability and efficiency.

Highest-signal resume keywords
Generative AI Solutions DevelopmentPython DevelopmentAzure and AWS ExperienceDocker and Kubernetes ProficiencyCI/CD Pipeline Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Generative AILarge Language Models (LLMs)RAG ArchitecturesPrompt EngineeringAgentic AIMicroservices ArchitectureInfrastructure as CodeObservability PracticesSecure CodingDistributed Systems Design
Tools & Technologies
LangChainLangGraphMicrosoft Foundry Agent ServiceTerraformARM/Bicep
Industry Keywords
AI GovernanceComplianceProduction EnvironmentsOperational StabilityCode of Ethics

Tech Stack

Tools & technologies
AWSAzureDistributed SystemsDockerKubernetesMicroservicesPythonTerraform

About the role

Key responsibilities & impact
  • Design, develop, and deploy scalable Generative AI solutions in an enterprise environment
  • Develop GenAI applications using LLMs, RAG architectures, prompt engineering, agentic AI, LangChain, LangGraph, and Microsoft Foundry Agent Service
  • Evaluate performance, accuracy, and scalability of GenAI implementations
  • Contribute to the end-to-end GenAI lifecycle, including solution design, development, integration, deployment, tuning, and optimization
  • Support secure deployment, horizontal scaling, and operational stability of GenAI workloads
  • Implement monitoring, logging, and observability practices for production environments
  • Develop and deploy GenAI systems across Azure and AWS
  • Contribute to distributed system design for scalable AI workloads
  • Use Docker, Kubernetes, Terraform, and ARM/Bicep
  • Develop scalable Python applications using microservices architectures
  • Apply secure coding and data handling practices in regulated environments
  • Contribute to CI/CD pipelines, automated testing, and deployment workflows
  • Participate in code reviews and follow engineering best practices
  • Collaborate across engineering and product teams to deliver production-grade GenAI solutions

Requirements

What you’ll need
  • Bachelor’s degree, or equivalent work experience
  • Five to six years of relevant experience
  • Bachelor’s degree in Computer Science, Engineering, or related field
  • 7–9 years of experience in software or platform engineering
  • 2+ years hands-on experience with GenAI systems, including LLMs, RAG architectures, and vector databases
  • Understanding of agentic AI concepts and exposure to LangChain or LangGraph
  • Experience with Azure and/or AWS
  • Knowledge of distributed systems and scalable application design
  • Proficiency in Python development
  • Experience with Docker, Kubernetes, and Infrastructure as Code tools
  • Experience deploying GenAI or ML solutions in production environments
  • Familiarity with observability and monitoring tools
  • Understanding of AI governance, compliance, and security practices
  • Ability to work from a U.S. Bank location three or more days per week
  • Applicants must comply with U.S. Bank policies and procedures, including the Code of Ethics and Business Conduct and related workplace conduct and safety policies

Benefits

Comp & perks
  • 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
  • Incentive and recognition programs
  • Equity stock purchase
  • 401(k) contribution and pension