Machine Learning Engineer Opt Jobs in Manchester, CT

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.

Join our dynamic software development team within UHC E&I Technology, where you will contribute to the design and delivery of AI-enabled solutions supporting Sales and Distribution modernization. In this role, you will focus on building and enhancing scalable components for sales workflows, distribution platforms, API integrations, and automation pipelines, leveraging cutting-edge AI-driven and agentic workflow capabilities. As a Senior AI/ML Engineer, you will develop and deploy machine learning models, generative AI solutions, and Retrieval-Augmented Generation (RAG)-based systems that improve sales intelligence, operational efficiency, and decision-making across our employer, broker, and enrollment ecosystems. This is an exciting opportunity to work with innovative technology, translate business requirements into enterprise-grade technical solutions, and ensure high performance, reliability, and security within a collaborative, global team.

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.

This position is remote nationwide or hybrid in MN or DC or CT

Primary Responsibilities:

• Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
• Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
• Evaluate emerging trends to inform solution design and strategic innovation
• Contribute to the design and delivery of AI-enabled solutions supporting Sales and Distribution modernization, including integration across employer, broker, and enrollment ecosystems
• Build and enhance scalable components for sales workflows, distribution platforms, API integrations, and automation pipelines, including AI-driven and agentic workflow capabilities
• Develop and deploy machine learning models, generative AI solutions, and retrieval-augmented generation (RAG) systems that improve sales intelligence, operational efficiency, and decision-making
• Support system performance, reliability, and scalability, and contribute to model evaluation and monitoring
• Ensure adherence to enterprise Responsible AI principles, governance, and security/compliance standards
• Collaborate with cross-functional and offshore development teams, participate in design and code reviews, and drive high-quality execution within defined project scope

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:

• Bachelor's degree or 4 years of equivalent software engineering experience
• 8 years of professional experience in software engineering
• 2 years of hands-on experience building, deploying, and maintaining AI/ML systems in production environments
• 2 years of experience in enterprise application development, including API integrations and microservices architectures
• Working experience with Generative AI models (e.g., GPT-based models), Retrieval-Augmented Generation (RAG) pipelines, or agentic workflow frameworks
• Required Qualification: Must be authorized to work in the United States without the need for current or future employer-sponsored visa sponsorship (e.g., H-1B, TN, F-1/OPT, CPT, or other employment-based visa status).

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, or a related field
• Practical experience with model evaluation, performance monitoring, and MLOps practices
• Experience working in distributed or offshore team environments
• Solid understanding of sales and distribution systems or enterprise platform integrations (including CRM, enrollment, or broker ecosystem integration patterns)
• Familiarity with enterprise AI governance, Responsible AI principles, and security/compliance requirements
• Proven solid problem-solving skills and the ability to translate business requirements into technical solutions
• Proven excellent communication and collaboration skills in cross-functional environments

*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 $120,100 - $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.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.  

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.  

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