Senior Manager AI/ML Engineering

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:

Lead the development, deployment, and optimization of artificial intelligence and machine learning models and enterprise application solutions in production

Drive end-to-end delivery across artificial intelligence initiatives and broader engineering workstreams, including platform modernization, application development, and integration

Apply advanced artificial intelligence and machine learning techniques, including natural language processing, natural language understanding, semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition

Translate experimental research and analytical insights into scalable, secure, and production-ready enterprise solutions

Provide leadership, mentoring, and performance accountability for engineering managers and senior-level professional staff across artificial intelligence, machine learning, and traditional software development teams

Partner with product, business, and technology leaders to align artificial intelligence and non-artificial intelligence engineering initiatives with measurable business outcomes

Communicate complex technical, analytical, and artificial intelligence-driven insights clearly to leadership and non-technical stakeholders

Strategically use artificial intelligence technologies to solve business problems, unlock new platform capabilities, and deliver tangible business value

Champion artificial intelligence as a core driver of the team's success, proactively shaping how artificial intelligence is developed, deployed, and responsibly used with transparency, fairness, and accountability

Integrate enterprise artificial intelligence tools, establish artificial intelligence development goals in team plans, and align hiring with evolving artificial intelligence competencies to actively remove barriers to adoption

Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

Undergraduate degree or equivalent experience, such as a bachelor's degree or 4+ years of software or artificial intelligence engineering experience

8+ years of professional experience in software engineering and enterprise application delivery

3+ years of experience directly leading and managing engineering teams, including software engineers, artificial intelligence and machine learning engineers, or technical managers

Hands-on engineering experience with backend .NET / .NET Core services and Angular front-end frameworks

Hands-on experience developing, integrating, and deploying artificial intelligence and machine learning solutions, such as natural language processing, natural language understanding, or deep learning, into a production environment

Experience working with relational databases, including MySQL, and version control or collaborative continuous integration and continuous delivery workflows using GitHub

Experience working with large-scale computing frameworks and enterprise data systems

Preferred Qualifications:

Advanced degree, such as a master's degree or doctorate, in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related quantitative field

Experience with advanced artificial intelligence technologies, such as computer vision, automatic speech recognition, and semantic modeling

Solid experience driving platform modernization and engineering best practices within healthcare or complex software ecosystems

Proven track record of translating research findings into large-scale, production-ready enterprise solutions

Proven exceptional communication, negotiation, and stakeholder management skills

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.