Senior Manager AI or ML Engineering

Posted 2 Hours Ago
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Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
In-Office
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Role
Lead AI, machine learning, and generative AI strategy and engineering for marketing-related domains. Design, deploy, and scale solutions using LLMs, RAG, AI agents, vector databases, and model fine-tuning across AWS, Azure, and GCP. Drive AI lifecycle automation through Agile, DevSecOps, and CI/CD practices; mentor teams; establish engineering standards and governance; and integrate AI capabilities into enterprise products and platforms.
Summary Generated by Built In
Requisition Number: 2387711
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:
  • Develop and implement AI, Machine Learning, and Generative AI strategies, with a primary focus on marketing-related business domains. Knowledge of the end-to-end content supply chain is preferred
  • Collaborate with cross-functional stakeholders to identify, prioritize, and execute AI/ML initiatives that drive business outcomes
  • Design, build, and deploy scalable AI/ML and Generative AI solutions that address complex business challenges
  • Drive innovation through hands-on development and continuous adoption of emerging AI technologies, frameworks, and methodologies
  • Lead the integration of AI/ML capabilities into products and platforms while promoting best practices across the development lifecycle
  • Leverage Agile and DevSecOps practices to enable automated, continuous delivery across the complete AI Development Lifecycle (AIDLC), from code check-in to production deployment
  • Develop and optimize solutions utilizing technologies such as Large Language Models (LLMs), Retrieval Augmented Generation (RAG), AI Agents, Vector Databases, Prompt Engineering, and model fine-tuning
  • Mentor teams and contribute to the development of AI engineering capabilities, standards, and governance
  • Work across cloud environments to architect, deploy, and manage AI solutions on platforms such as AWS, Azure, and GCP
  • Continuously evaluate and implement new tools, languages, frameworks, and approaches to enhance AI/ML solution delivery
  • 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:
  • Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative discipline
  • 12+ years of experience in Software Engineering, Data Science, Analytics, or related fields
  • 8+ years of hands-on experience in AI/ML Engineering or related domains
  • 3+ years of recent experience focused on Generative AI technologies, including:
    • OpenAI
    • Claude
    • Gemini
    • LangChain
    • AI Agents
    • Retrieval Augmented Generation (RAG)
    • Vector Databases
    • Prompt Engineering
    • Model Fine-tuning
  • Technical Skills
    • Solid hands-on expertise in AI, Machine Learning, and Generative AI solution development
    • Experience with AI/ML frameworks and tools such as:
      • MLflow
      • TensorFlow
      • PyTorch
      • Keras
      • Scikit-learn
    • Experience working with cloud platforms including AWS, Microsoft Azure, and Google Cloud Platform (GCP)
    • Deep understanding of Agile delivery methodologies, DevSecOps practices, CI/CD pipelines, and automation across the AI lifecycle
    • Proficiency in Python and/or other programming languages used for AI/ML development and data analysis

Preferred Qualifications:
  • Experience in marketing technology, digital marketing analytics, or customer engagement platforms
  • Understanding of content creation, management, and distribution ecosystems across the content supply chain
  • Proven track record of delivering innovative AI-driven products and enterprise-scale machine learning solutions

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.

Skills Required

  • Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative discipline
  • 12 or more years of experience in Software Engineering, Data Science, Analytics, or related fields
  • 8 or more years of hands-on experience in AI/ML Engineering or related domains
  • 3 or more years of recent experience with Generative AI technologies
  • Experience with OpenAI, Claude, Gemini, LangChain, AI Agents, Retrieval Augmented Generation, Vector Databases, Prompt Engineering, and Model Fine-Tuning
  • Hands-on expertise developing AI, Machine Learning, and Generative AI solutions
  • Experience with MLflow, TensorFlow, PyTorch, Keras, and Scikit-learn
  • Experience with AWS, Microsoft Azure, and Google Cloud Platform
  • Understanding of Agile delivery methodologies, DevSecOps, CI/CD pipelines, and AI lifecycle automation
  • Proficiency in Python or other programming languages used for AI/ML development and data analysis
  • Experience in marketing technology, digital marketing analytics, or customer engagement platforms
  • Understanding of content creation, management, and distribution ecosystems across the content supply chain
  • Track record of delivering innovative AI-driven products and enterprise-scale machine learning solutions

What the Team is Saying

Optum Compensation & Benefits Highlights

  • Parental & Family Support Paid parental leave (six weeks), paid caregiver leave (up to two weeks), Bright Horizons back-up care, and adoption assistance up to $10,000 are prominently included. Feedback suggests these family supports meaningfully aid work-life balance and are often highlighted as strengths.
  • Retirement Support A 401(k) with company match is available to all employees, including part-time staff, alongside other financial protections like disability and life insurance. Feedback suggests broad access and matching make retirement support a core pillar of the package.
  • Equity Value & Accessibility An Employee Stock Purchase Plan offers discounted company stock, with some roles also eligible for sign-on or performance bonuses. Feedback suggests the ESPP is a standout financial perk that helps employees build ownership over time.

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The Company
HQ: Eden Prairie, MN
160,000 Employees
Year Founded: 2011

What We Do

Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.

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Optum Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.

Typical time on-site: Not Specified
HQEden Prairie, MN
Metro Manila, Philippines
Cebu, Philippines
Davao, Philippines
Ann Arbor, MI
Atlanta, GA
Baltimore, MD
Bengaluru, India
Chennai, India
Dallas, TX
Detroit, MI
Dublin, Ireland
Hartford, CT
Houston, TX
Hyderabad, India
Jacksonville, FL
Las Vegas, NV
Letterkenny, Ireland
Louisville, KY
Madison, WI
Minneapolis, MN
Nashville, TN
New Delhi, India
Philadelphia, PA
Phoenix, AZ
Pune, India
Raleigh, NC
San Diego, CA
Washington, DC
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