Lead AI Platform Engineer

U.S. Bank

. Design, develop, and deploy enterprise-scale Generative AI solutions .

Posted 10/14/2026full-timeUnited StatesSenior💰 $139,230 - $163,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying enterprise-scale Generative AI solutions, with a strong focus on architecture, engineering, and secure deployment across cloud platforms like Azure and AWS. Proficient in implementing GenAIOps practices and developing scalable applications using Python and microservices.

Highest-signal resume keywords

Generative AI Solutions DevelopmentLangChain and LangGraph ExpertiseCloud Architecture on Azure and AWSPython and Microservices DevelopmentTechnical Leadership and Mentoring

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Generative AISoftware EngineeringPlatform EngineeringDistributed SystemsScalable ArchitectureSecure Coding PracticesCI/CD PipelinesData Handling PracticesGenAI TechnologiesRAG Architectures

Soft Skills

MentoringCoachingCollaborationCommunication

Tools & Technologies

AWS BedrockMicrosoft Foundry Agent ServiceDockerKubernetesTerraformARM/Bicep

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in Engineering

Industry Keywords

AI/ML SolutionsAgentic AI ConceptsInfrastructure as CodeRegulated EnvironmentsU.S. Bank Compliance

Tech Stack

Tools & technologies

AWSAzureDistributed SystemsDockerKubernetesMicroservicesPythonTerraform

About the role

Key responsibilities & impact

Design, develop, and deploy enterprise-scale Generative AI solutions
Build intelligent systems using LangChain, LangGraph, AWS Bedrock, and Microsoft Foundry Agent Service
Evaluate emerging tools and frameworks to improve solution quality and innovation
Lead the end-to-end GenAI solution lifecycle, including architecture, engineering, enterprise integration, secure deployment, release management, monitoring, observability, and optimization
Implement GenAIOps practices for scalability, reliability, and cost efficiency
Establish logging, evaluation, and feedback mechanisms for production AI systems
Architect and deploy GenAI applications across Azure and AWS
Design distributed systems for high-throughput, low-latency AI workloads
Use Docker, Kubernetes, Terraform, and ARM/Bicep
Develop scalable applications with Python and microservices-based architectures
Apply secure coding and data handling practices for regulated environments
Build and manage CI/CD pipelines
Enforce code reviews, testing, and documentation
Provide architectural leadership across GenAI initiatives and drive complex design decisions
Mentor and coach senior engineers and development teams
Translate business requirements into scalable, secure, and resilient technical solutions
Partner with product, business, risk, and security stakeholders

Requirements

What you’ll need

Bachelor’s degree, or equivalent work experience
Six to eight years of relevant experience
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
8+ years of experience in software engineering, platform engineering, or AI/ML solutions
2+ years hands-on experience with GenAI technologies, including LLMs, RAG architectures, and vector databases
Strong knowledge of agentic AI concepts and frameworks, such as LangChain and LangGraph
Experience with Azure and/or AWS
Deep understanding of distributed systems and scalable architecture patterns
Proficiency in Python and microservices-based development
Experience with Docker, Kubernetes, and Infrastructure as Code tools
Demonstrated technical leadership and mentoring experience
Ability to 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