Lead AI Platform Engineer – Guardrails

U.S. Bank

. Design, develop, and deploy enterprise-scale Generative AI solutions using LLMs, RAG architectures, prompt engineering, and agentic AI workflows .

Posted 9/20/2026full-timeUnited StatesSenior💰 $139,230 - $163,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying enterprise-scale Generative AI solutions, with a strong focus on LLMs, RAG architectures, and secure coding practices. Proven ability to lead technical teams, mentor engineers, and implement scalable, reliable AI systems across cloud environments.

Highest-signal resume keywords

Generative AI SolutionsLLMs and RAG ArchitecturesPython DevelopmentAzure and AWS CloudTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Generative AILLMsRAG ArchitecturesPythonMicroservicesDistributed SystemsSecure CodingCI/CD PipelinesInfrastructure as CodeAgentic AI

Soft Skills

MentoringCollaborationCommunicationLeadership

Tools & Technologies

LangChainLangGraphDockerKubernetesTerraformAWS BedrockMicrosoft Foundry Agent ServiceARM/Bicep

Certifications & Qualifications

Bachelor’s DegreeMaster’s Degree

Industry Keywords

AI/ML SolutionsEnterprise IntegrationGenAIOpsHigh-Throughput SystemsRegulated Environments

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerKubernetesMicroservicesPythonTerraform

About the role

Key responsibilities & impact

Design, develop, and deploy enterprise-scale Generative AI solutions using LLMs, RAG architectures, prompt engineering, and agentic AI workflows
Build intelligent systems with LangChain, LangGraph, AWS Bedrock, and Microsoft Foundry Agent Service
Evaluate emerging AI 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 cloud environments
Design distributed systems supporting high-throughput, low-latency AI workloads
Use Docker, Kubernetes, Terraform, and ARM/Bicep for modern infrastructure practices
Ensure high availability, performance, and enterprise-grade security
Develop scalable applications using Python and microservices architectures
Apply secure coding and data handling practices for regulated environments
Build and manage CI/CD pipelines for automated testing, deployment, and release management
Enforce code reviews, testing, and documentation standards
Provide architectural leadership and guidance across GenAI initiatives
Drive design decisions for large-scale, complex AI solutions
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