Note: The job is a remote job and is open to candidates in USA. Optum is a global healthcare organization that uses technology to improve health outcomes and advance health equity. The Lead Software Engineer will lead the architecture, integration, development, validation, and delivery of scalable enterprise software and AI-powered applications in the Clinical AI domain, including Touchless Prior Authorization. The role also involves cross-functional collaboration, technical leadership, governance, operational readiness, and mentoring engineers.
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
- Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
Skills
- * 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
- * Master's degree in Information Technology or related field
- * Strong understanding of Generative AI, responsible AI, AI governance, model integration patterns, and enterprise AI enablement practices, demonstrated through certifications
- * Hands-on experience building or enabling AI/ML-powered engineering workflows, including use of AI to improve SDLC productivity and operations
- * Strong technical foundation in cloud architecture (Google Cloud Platform, Azure), APIs, distributed systems, event-driven architecture, security, identity, logging, observability, performance tuning, and production operations
Benefits
- Flexibility to telecommute from anywhere within the U.S.
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution
- Career development opportunities
- Development for other roles you may be interested in
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