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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal AI/ML Engineer - Remote Nationwide or Hybrid in MN/DC - **Company:** Unitedhealth Group Inc - **Location:** Minneapolis, MN, United States (Remote available) - **Experience:** Experienced - **Salary:** $164,600.0 - $282,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Continuous Integration, Data Governance, Distributed Data Store, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Azure Machine Learning, Software Engineering, Management of Software Versions, Data Ingestion, Pytorch, Large Language Models, Multi-Agent Systems, Prompt Engineering, Deep Learning, Generative AI, Information Technology, Machine Learning Operations, Natural Language Understanding - **Published:** August 21, 2026 - **Apply:** https://www.minneapoliscareersite.com/job.asp?id=3361169113&tx=JL5953FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Bachelor's degree or 4+ years of equivalent software engineering or AI/ML experience in lieu of a degree * 12+ years of total software/ML engineering experience * 8+ years building and deploying production systems * 3+ years of experience in a technical leadership, architecture, or staff/principal-level engineering capacity * 3+ years solid Python skills with hands-on depth in at least one major deep learning framework (PyTorch or TensorFlow) * 3+ years of proven experience architecting end-to-end ML pipelines: data ingestion, training, serving, and monitoring * 3+ years of working experience with at least one cloud ML platform (AWS SageMaker, Azure ML, or GCP Vertex AI) * 3+ years of solid grounding in statistics, probability theory, optimization, and experimental design * 3+ years of MLOps experience: CI/CD for models, versioning, drift detection, automated retraining, performance observability, and governance * 2+ years of practical, hands-on experience building or deploying LLM-based or agentic systems - orchestration, tool-use/function calling, RAG, or multi-agent workflows * Proven understanding of how to evaluate, guardrail, and monitor agentic systems in production (this, not framework trivia, is the bar at Principal level) * Proven solid communication skills; demonstrated ability to explain complex architecture and tradeoffs to non-technical leadership * Demonstrated track record mentoring engineers and setting technical standards, * Advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, or a related field * Experience working within the healthcare industry or with healthcare-related data standards * Experience with Generative AI (GenAI) and Large Language Models (LLMs), including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) * Experience leading and mentoring engineering teams or driving technical standards across an organization *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. ## Description * Lead architecture, design, and end-to-end delivery of production AI/ML systems - training, deployment, and monitoring pipelines * Drive adoption of deep learning and agentic AI approaches across use cases such as NLP/NLU, intent classification, semantic understanding, and ASR * Translate research and experimental findings into scalable, enterprise-ready solutions * Define and enforce engineering best practices across the ML lifecycle - versioning, CI/CD, drift detection, performance optimization, model governance * Design and evaluate agentic workflows (multi-step reasoning, tool-use, orchestration) and establish standards for evaluating and monitoring them safely in production * Partner with data scientists and applied researchers to bridge the gap between prototypes, platform and production * Work with large-scale computing frameworks and distributed data systems to process high-volume datasets * Present model performance, architectural decisions, and technical tradeoffs to leadership and cross-functional stakeholders * Mentor senior and mid-level engineers; set the technical bar across the AI/ML engineering function * Evaluate and introduce emerging AI/ML tools, frameworks, and platformsMentor and guide senior and mid-level engineers, setting technical standards across the AI/ML engineering function * Evaluate and introduce emerging AI/ML tools, frameworks, and platforms to continuously improve engineering capabilities * Apply knowledge of statistics, probability theory, optimization, and experimental methodologies to build robust, reliable ML systems 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 - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [30 Golden Rules of Deep Learning Performance](https://www.wearedevelopers.com/videos/11-30-golden-rules-of-deep-learning-performance) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Prompt Engineering is a Job of the Past](https://www.wearedevelopers.com/magazine/342-prompt-engineering-is-a-job-of-the-past)