Lead AI-Driven Software Engineer — Remote

Optum; Eden Prairie (MN); On-site; USD 113,000 - 193,000; Full time

Benefits offered by this job

Comprehensive benefits package

Remote work within the United States

Job summary

Optum is a global health tech leader seeking a Lead Software Engineer to drive AI-enabled enterprise software delivery in the Clinical AI domain. You will architect and integrate scalable solutions, mentor teams, and ensure secure, compliant systems across cloud environments.

You will help accelerate automation and modernization, collaborating across product, security, and operations to deliver high-impact AI initiatives while upholding responsible AI practices.

Qualifications

• Bachelor's degree in science or technology or equivalent experience.
• 7+ years of experience in application architecture, AI/ML engineering, quality engineering, or platform engineering.
• 5+ years of experience leading development/testing of with web, API, integration, or cloud-native solution development.
• 5+ years of experience providing technical leadership to engineers, including mentoring, design review, delivery oversight, and best-practice adoption.
• 4+ years of experience with CI/CD, DevOps tooling, release automation, and modern software delivery practices.

Responsibilities

• Lead end-to-end technical integration efforts for AI-enabled solutions, from opportunity discovery and architecture review through implementation, validation, launch, and operational handoff.
• Collaborate cross-functionally with business, product, engineering, security, infrastructure, and operational partners to identify AI integration opportunities that improve automation, workflow intelligence, decision support, and delivery speed.
• Translate business and operational needs into scalable technical requirements, ensuring solutions align with enterprise architecture standards, stakeholder goals, and responsible AI expectations.
• Design and deliver advanced AI-enabled integration solutions, including intelligent orchestration and AI-assisted workflows.
• Drive AI 10.0 initiatives by creating scalable, high-quality implementations that reduce manual effort, improve operational consistency, and accelerate delivery of critical automation work.
• Assess internal and external solution options for fit within enterprise infrastructure, including compatibility, scalability, security, reliability, data handling, observability, supportability, and long-term maintainability.
• Independently manage complex technical workstreams, proactively identifying dependencies, risks, blockers, governance needs, and decisions required to move initiatives from concept to production.
• Coordinate technical validation activities, including proofs of concept, environment readiness, API testing, performance evaluation, security reviews, AI workflow assessment, and production readiness.
• Ensure solutions meet enterprise standards for identity and access management, data privacy, compliance, resilience, monitoring, incident response, change management, auditability, and responsible AI use.
• Mentor engineers and influence best practices for AI-enabled solution design, automation, AI-assisted engineering, sustainable platform integration, operational readiness, and continuous improvement.

Skills

AI/ML engineering

Application architecture

Technical leadership

CI/CD

DevOps tooling

Web/API/Cloud-native

Mentoring

Security/compliance

Education

Bachelor's degree in science or technology

Master's degree in Information Technology or related field

Tools

CI/CD tooling

Release automation

GCP

Azure

Security tooling

Job description

Optum is a global health tech leader seeking a Lead Software Engineer to drive AI-enabled enterprise software delivery in the Clinical AI domain. You will architect and integrate scalable solutions, mentor teams, and ensure secure, compliant systems across cloud environments.

You will help accelerate automation and modernization, collaborating across product, security, and operations to deliver high-impact AI initiatives while upholding responsible AI practices.