We are seeking a highly experienced and hands-on Senior Manager of AI/ML Engineering to lead the ML engineering strategy and execution behind our cutting edge autonomous medical coding solutions. In this role, you will guide a team of machine learning engineers and collaborate closely with data scientists, software engineers, product managers, clinical experts, and compliance partners to build scalable, reliable, and secure AI systems for processing millions of medical charts every day.
You will be responsible for translating emerging advances in machine learning and LLMs into production-ready capabilities that improve coding accuracy, efficiency, auditability, and clinical workflow integration. This is a high-impact leadership role in a fast-paced environment where you will help shape both the technical roadmap and the engineering culture of the organization.
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:- Lead, mentor, and grow a high-performing team of AI/ML engineers focused on medical coding automation
- Define and execute the engineering strategy for machine learning and LLM-powered products at production scale
- Partner with data science and clinical teams to develop solutions for chart understanding, clinical concept extraction, code assignment, documentation analysis, and coding validation
- Drive the architecture of scalable inference and data-processing systems capable of handling millions of medical charts daily
- Ensure that AI systems meet stringent requirements for accuracy, reliability, latency, cost efficiency, privacy, security, and explainability
- Collaborate with software engineering leaders to integrate ML capabilities into robust SaaS products and customer workflows
- Partner with product and business stakeholders to prioritize initiatives, define success metrics, and translate customer needs into technical solutions
- Work with legal, compliance, security, and clinical stakeholders to support HIPAA-compliant, responsible, and auditable use of AI in healthcare
- Develop evaluation frameworks and quality metrics for coding accuracy, clinical validity, hallucination prevention, confidence estimation, and human review prioritization
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:- 6+ years of technical experience in AI/ML engineering, machine learning development, or applied AI solution delivery
- 2+ years of direct people management or technical leadership experience leading AI/ML engineering teams
- Proven experience in architecting and deploying production-grade machine learning pipelines, LLM-powered applications, and MLOps platforms handling large-scale data processing
- Hands-on experience in establishing evaluation frameworks, model monitoring, continuous integration/deployment (CI/CD), and responsible AI standards for production models
- Demonstrated experience deploying Large Language Models (LLMs), retrieval-augmented generation (RAG), and prompt engineering in enterprise production environments
- Solid technical proficiency in Python and deep learning/NLP frameworks (e.g., PyTorch, TensorFlow, Hugging Face)
Preferred Qualifications:- Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or 4+ additional years of equivalent technical experience)
- Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline
- Experience in healthcare, clinical NLP, medical chart processing, medical coding automation (ICD-10, CPT), or HIPAA-compliant environments
- Experience with containerization, orchestration, and infrastructure-as-code tools (e.g., Docker, Kubernetes, Terraform)
*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 $148,900 - $255,300 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.
