Lead AI or ML Engineer

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.

As an AI Architect, you will be in charge of designing and implementing AI capabilities for a Contact Center platform in a Healthcare Payer enterprise. You will work closely with Cloud and Machine Learning engineers, as well as the CRM development team to ensure the proper integration of AI technologies into the platform. You will be responsible for the strategy, design, implementation, and maintenance of AI solutions.

This role requires a highly skilled professional with a deep understanding of AI technologies and the ability to collaborate effectively with a diverse team. The ideal candidate will have a solid background in data science and a proven track record in industry.

Primary Responsibilities:

• Design and develop AI applications and infrastructure for the Contact Center platform
• Collaborate with Cloud and Machine Learning engineers, as well as the development team to ensure seamless integration of AI technologies
• Stay current with the latest AI trends and technologies, especially Google GCP or Azure AI for Contact Center
• Create and maintain AI models and algorithms
• Conduct AI research to improve existing systems and develop new technologies
• Identify opportunities for AI solutions within the organization and propose strategic plans
• Train team members and stakeholders on AI and its applications
• Ensure compliance with data privacy regulations in AI applications
• Monitor the performance of AI systems and make necessary adjustments
• 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:

• 4-year bachelor's degree in Computer Science / Information Technology / Computer Engineering from a recognized university or equivalent experience with a specialization in Data Science
• Proven experience as an AI Architect or similar role in the industry
• Solid knowledge of AI technologies, specifically Google GCP or Azure AI
• Understanding of data structures, data modeling, and software architecture
• Proven ability to work collaboratively with a diverse team of engineers and developers
• Proven solid communication and project management skills

Preferred Qualifications:

• Data Science certifications
• Experience in the Healthcare Payer enterprise
• Experience in training team members on AI technologies and applications
• Knowledge of data privacy regulations and practices
• Familiarity with Contact Center platforms
• Proven ability to conduct research and stay current with the latest AI trends and technologies
• Proven solid problem-solving skills and the ability to think strategically

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.