Position SummaryAre you passionate about applying AI to solve complex business challenges at enterprise scale? We are seeking a Senior AI/ML Engineer to design, build, and operationalize AI capabilities that drive decision-making, productivity, and innovation across the Enterprise Finance organization. In this role, you will lead the development of AI-powered solutions including large language model (LLM) applications, retrieval-augmented generation (RAG), intelligent agents, classification models, summarization workflows, and decision-support tools. You will partner closely with Finance, Data Engineering, Architecture, Security, and Responsible AI teams to deliver trusted, scalable, and governed AI solutions that align with enterprise AI/ML engineering practices and productization standards.
You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities- Design, develop, and deploy AI-powered solutions and architectures-including LLM workflows, prompt orchestration chains, agent-based solutions, RAG applications, and decision-support capabilities-to solve complex business challenges
- Develop advanced prompt strategies, grounding approaches, tool-calling patterns, guardrails, and fallback mechanisms to improve solution quality, safety, and reliability
- Partner with Data Engineering teams to establish and maintain seamless access to trusted, governed, and high-quality enterprise data sources
- Establish robust evaluation frameworks, test datasets, scoring rubrics, and model-performance benchmarks across AI deliverables
- Monitor and optimize output quality, relevance, accuracy, consistency, latency, cost efficiency, and hallucination risk in production systems
- Conduct failure-mode analysis and implement continuous improvements to AI systems and automated workflows
- Collaborate cross-functionally with Quality Engineering, Responsible AI, Security, Privacy, Compliance, and Enterprise Architecture teams
- Document AI solution behaviors, limitations, risk controls, and operational monitoring requirements
- Support production readiness through observability, system monitoring, model evaluation, and drift detection practices
- Evaluate emerging AI trends, methodologies, and enterprise-approved tools to inform solution design, streamline workflows, and drive strategic innovation
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- 3+ years of experience in software engineering, machine learning, or AI engineering
- 2+ years of experience with cloud-native architectures, APIs, and scalable software systems
- 1+ years of hands-on experience building and deploying generative AI and LLM-based applications in production environments
Preferred Qualifications- Master's degree in Computer Science, Engineering, Data Science, or a related field
- Experience supporting Finance, FP&A, Accounting, Treasury, Tax, or related enterprise corporate functions
- 1+ years of experience developing and deploying agentic AI solutions
- Familiarity with AI observability, model monitoring, vector databases, semantic search, and knowledge retrieval systems
- Demonstrated experience taking enterprise AI products end-to-end from initial design through production support
- 2+ years of experience with prompt engineering, RAG architectures, model evaluation, and operational AI governance
- 1+ years of demonstrated experience implementing Responsible AI, data security, privacy, and compliance practices in technical solutions
*All Telecommuters 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 $120,100 to $214,500 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.
#RPO, #GREEN
