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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Chief Digital Office Consumer Engineering - **Company:** Unitedhealth Group Inc - **Location:** Washington, DC, United States (Remote available) - **Experience:** Expert - **Salary:** $120,100.0 - $214,500.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Information Engineering, Monitoring of Systems, Python (Programming Language), Machine Learning, Search Technologies, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Kubernetes, Information Technology, Low Latency, Data Pipelines, Automation Anywhere, Programming Languages - **Published:** September 4, 2026 - **Apply:** https://www.dice.com/job-detail/be42e119-8e80-4aba-aeb3-c84d884ab1cc ## About the Role * 5+ years of engineering experience with strong technical proficiency in Python or equivalent programming language * Practical experience building and deploying AI-enabled applications in enterprise settings, including hands-on experience with LLMs, RAG, embeddings, vector search, prompt engineering, and agent frameworks * Demonstrated experience working with model APIs, orchestration frameworks, data pipelines, and evaluation tooling * Proven ability to design AI workflows that are explainable, testable, governable, and safe * Solid understanding of model limitations, hallucination risks, bias/fairness concerns, and responsible AI frameworks, * Bachelor's or Master's degree in Data Science, Computer Science, Machine Learning, or related technical discipline * Solid background in Data Science, Machine Learning Engineering, Applied Science, or Full-Stack Engineering with AI specialization * Practical experience with statistical modeling, data analysis, controlled testing, model evaluation frameworks, and production AI monitoring tools * Proven experience scaling LLM applications and data science solutions within large enterprise environments *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. ## Description The Chief Digital Office Consumer Engineering team is seeking a Senior AI/ML Engineer to own and advance the intelligence layer of our consumer-facing solutions. In this role, you will design, build, evaluate, and continuously improve AI components, including LLM workflows, RAG pipelines, agentic behaviors, classifiers, summarizers, copilots, and AI evaluation frameworks. Our team's mission is to create innovative digital capabilities that directly impact millions of consumers while ensuring that every AI solution is useful, measurable, safe, transparent, and fit for enterprise execution. 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., * Design, develop, and deploy AI-powered solutions, LLM workflows, prompt chains, agents, RAG patterns, model integrations, classification models, and decision-support tools to address complex business challenges * Develop prompt strategies, tool-calling patterns, grounding techniques, guardrails, and fallback behaviors with an emphasis on responsible AI practices * Partner with Data Engineering to ensure AI components have access to trusted, appropriate, and governed data sources * Build and maintain evaluation datasets, scoring rubrics, model-performance tests, and failure-mode analysis tools * Monitor and continuously improve output quality, hallucination risk, relevance, accuracy, consistency, latency, and operational cost in production environments * Partner with Quality Assurance, Responsible AI, Security, Privacy, Compliance, and Architecture teams to ensure AI solutions are safe and enterprise-ready * Document model behavior, known limitations, risk controls, and operational monitoring needs, while supporting production readiness, model observability, and drift monitoring * Evaluate emerging trends and leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous 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. ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)