You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities: - Define and lead AI application architecture for ECS Big Bets and AI 10.0 initiatives, ensuring scalability, security, and compliance
- Design frameworks and patterns for LLMs, agentic workflows, multi-agent systems, and RAG-based solutions
- Provide thought leadership on AI technologies and best practices across the enterprise
- Stay hands-on for critical coding and integration tasks, ensuring technical depth and quality
- Collaborate with product, engineering, and compliance teams to align architecture with business and regulatory requirements
- Drive performance optimization, observability, and reliability for AI applications
- Establish governance standards, documentation, and reusable components for AI development
- Mentor senior engineers and guide teams on architectural decisions and advanced AI techniques
- Evaluate emerging AI tools and frameworks to future-proof enterprise solutions
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications: - 10+ years of software engineering experience, with at least 3+ years in AI/ML solution architecture
- 6+ years of experience with architecting enterprise-scale AI applications, including LLMs, agentic workflows, multi-agent systems, and RAG-based solutions
- 6+ years of experience with hands-on coding skills in Python, and experience with React, Next.js, and PostgreSQL
- 6+ years of experience defining scalable, secure, and compliant architectures for regulated environments
- 6+ years of experience with AI observability tools (Arize, Phoenix) and performance optimization strategies
- Proven knowledge of cloud platforms (Azure/AWS), containerization (Docker/Kubernetes), and CI/CD pipelines
Preferred Qualifications: - AI Dojo Certification or equivalent advanced AI training
- Experience in healthcare workflows and enterprise-grade AI deployments
- Ability to lead technical teams, provide architectural guidance, and mentor senior engineers
- Solid understanding of compliance, governance, and ethical AI standards
- Excellent communication and collaboration skills for cross-functional leadership
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $145,500 - $249,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
