> Markdown version of [/jobs/ext/3922434-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/3922434-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** Unitedhealth Group Inc - **Location:** Eden Prairie, MN, United States (Remote available) - **Experience:** Experienced - **Salary:** $72,800.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Application Frameworks, Cloud Engineering, Continuous Integration, Information Retrieval, Python (Programming Language), Search Technologies, Software Engineering, Systems Integration, Large Language Models, Generative AI, Agentic-AI, Information Technology, Operational Systems, Data Management, Machine Learning Operations, Api Design, Devsecops, Microservices - **Published:** October 26, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3466803164&tx=HT7771TTV&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 or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related technical discipline * 5+ years of experience in software engineering. Proven track record developing APIs, microservices, cloud-native architectures, CI/CD pipelines, DevSecOps, and observability * 5+ years working on teams using agile and lean coding methodologies, such as pair or mob programming * 3+ years of experience building solutions on a Python stack. Hands-on experience with core AI capabilities, such as generative AI, agentic AI, LLMs, vector databases, embeddings, semantic search, and knowledge retrieval * 2+ years experience integrating AI solutions with enterprise platforms, business workflows, data platforms, and operational systems to deliver measurable business outcomes * Strong communication skills for cross-functional collaboration and stakeholder interactions, * Familiarity with MLOps tools and workflows for monitoring prediction accuracy, detecting feature drift, and assessing ongoing model fit and/or degradation ## Description * Design, develop, and deploy AI-powered solutions, digital workers, and intelligent automation capabilities that drive measurable business outcomes and operational efficiency * Rapidly prototype, validate, and scale emerging AI technologies (Generative AI, Agentic AI, automation, orchestration, and analytics) to address enterprise transformation opportunities * Partner with business, architecture, engineering, and operations teams to identify high-value use cases and translate them into production-ready AI solutions * Establish and promote AI engineering best practices, reusable frameworks, governance standards, and responsible AI controls to accelerate enterprise adoption * Evaluate disruptive technologies, drive innovation pilots, and builde strategic capabilities that position the organization for future-state digital operations You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.