Optum Logo

Optum

Senior AI/ML Engineer

Reposted 11 Hours Ago
Be an Early Applicant
In-Office
Bengaluru, Bengaluru Urban, Karnataka
Senior level
In-Office
Bengaluru, Bengaluru Urban, Karnataka
Senior level
Lead end-to-end delivery of AI/ML programs: define roadmaps, manage cross-functional teams, ensure production reliability and compliance, govern responsible AI, control costs, and deliver measurable business outcomes.
The summary above was generated by AI
Requisition Number: 2369775
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:
  • Own end-to-end delivery of AI/ML programs across portfolios with accountability for timelines, quality, and business outcomes
  • Lead cross-functional teams (Data Science, ML, Data Engineering, Platform) and manage capacity, hiring, and performance
  • Define execution plan aligned to AI strategy:
    • Roadmaps, milestones, dependencies, and release plans
    • Clear success metrics (ROI, adoption, efficiency, accuracy)
  • Drive AIDLC adoption across teams:
    • Standard processes, governance, and delivery frameworks
    • Consistent model lifecycle management and delivery discipline
  • Ensure stable, scalable production delivery:
    • Oversee architecture, design reviews, and quality standards
    • Ensure reliability, performance, and SLAs
  • Manage stakeholder engagement:
    • Primary interface with business, product, and leadership
    • Align priorities, expectations, and delivery outcomes
  • Govern data, AI, and platform usage:
    • Ensure compliance, security, and responsible AI practices
    • Track and control program-level risks
  • Own cost and budget management:
    • Optimize resource allocation and tool usage
    • Monitor program-level cost vs value
  • Drive engineering excellence and team productivity:
    • Agile, DevOps practices
    • Standardization and reuse across teams
  • Deliver measurable outcomes:
    • On-time delivery
    • Business impact (revenue, efficiency, adoption)
    • Team velocity and quality
  • 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

Scientist Responsibilities : (manager discretion if AI responsibilities are already present in JD):
Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability
Required Qualifications:
  • Bachelor's or Master's in Computer Science / AI / Data Science / Engineering or related field
  • 16+ years; solid delivery leadership in AI/ML programs
  • Proven team management and stakeholder influence
  • Broad technical expertise across AI, data, and platforms

Technical Skills
  • Programming: Python, SQL
  • AI/ML: ML models, deep learning (PyTorch / TensorFlow)
  • Generative AI: LLMs, RAG, prompt engineering, vector databases
  • Agentic AI: Multi-agent frameworks, orchestration, tool integration
  • Data Handling: Feature engineering, data pipelines, experimentation
  • Cloud Platforms: Azure / AWS / GCP
  • Optimization: Token usage, model selection, cost-performance tuning
  • Tools: Experimentation frameworks, AI toolchains, prototyping platforms

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.

Similar Jobs at Optum

5 Days Ago
In-Office
Senior level
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, build, deploy, and maintain AI/ML solutions (including LLMs and Generative AI) for healthcare. Provide technical leadership for chatbots, conversational AI, and NLP systems; ensure responsible AI, security, and operational excellence; mentor team members and collaborate with product and engineering to integrate AI in cloud modernization efforts.
Top Skills: Access ControlsApi DevelopmentAutomatic Speech RecognitionAWSChatbotsCloud EnvironmentsComputer VisionConversational AiData Analysis SystemsDeep LearningDisaster RecoveryGenerative AiIntent ClassificationLarge-Scale Computing FrameworksLlmsLoggingLow-Code PlatformsMachine LearningNlpNluNo-Code PlatformsPerformance TuningProduction MonitoringSecuritySemantic UnderstandingWeb Development
20 Days Ago
In-Office
Senior level
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms. Lead end-to-end ML/DL initiatives including LLM-based conversational AI, RAG and agent systems. Perform data preprocessing, feature engineering, model evaluation, and production deployment while collaborating across cross-functional teams.
Top Skills: Ai Agent-Based SystemsDeep LearningLarge Language Models (Llms)Machine LearningNumpyPandasPythonPyTorchRetrieval-Augmented Generation (Rag)Scikit-LearnTensorFlow
23 Days Ago
In-Office
Senior level
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead hands-on experimentation and prototype development for Generative and Agentic AI, focusing on LLMs, RAG, vector retrieval, and production-ready solution blueprints. Drive POCs to production by creating reusable prompts, architectures, evaluation frameworks, and implementation artifacts while partnering with engineering and product teams to ensure scalability, cost optimization, and responsible AI practices.
Top Skills: Agentic Ai FrameworksAi Development Lifecycle (Aidlc)AWSAzureDeep LearningEmbeddingsGoogle Cloud PlatformLarge Language Models (Llms)Machine LearningPrompt EngineeringPythonPyTorchRetrieval-Augmented Generation (Rag)SQLTensorFlowVector Databases

What you need to know about the Mumbai Tech Scene

From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account