Associate AI/ML Engineer

Posted Yesterday
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Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
In-Office
Mid level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Role
Develop and deploy AI-powered applications and agentic solutions using Python, LLM APIs, multi-agent frameworks, RAG pipelines, vector databases, cloud AI platforms, and responsible AI guardrails. Participate in the software development lifecycle, including coding, testing, debugging, design reviews, QA, UAT, releases, and production support. Build scalable full-stack integrations using Java, Spring Boot, REST APIs, Docker, Kubernetes, MySQL, and Angular while collaborating with technical and business teams.
Summary Generated by Built In
Requisition Number: 2372606
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:
  • Engage in the full software development lifecycle, with a solid focus on coding, testing, and debugging
  • Write clean, efficient, and maintainable code following best practices
  • Collaborate closely with team members to design, develop, and deploy new features
  • Optimize and enhance the performance of existing software applications
  • Communicate effectively and regularly with management and technical support teams
  • Participate in Scrum meeting, design reviews, test case reviews, and production support readiness reviews for new releases
  • 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 regard 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

Builder Responsibilities:
  • Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making

Required Qualifications:
  • B.Tech./MCA (Minimum 16 years of formal education)
  • 3+ years of proven experience as a AI Builder or in a similar technical role
  • Hands-on experience as a AI/ML/Full Stack Engineer (FSE) with a solid understanding of micro-services
  • AI/ML Engineering Tech Stack
    • Python (backend AI systems, async, microservices)
    • LLM APIs (OpenAI, Azure OpenAI, Anthropic, Gemini)
    • Prompt Engineering (CoT, ReAct, system prompts)
    • Agent Development (plan-reason-act-reflect loops)
  • Agent Frameworks (LangChain, LangGraph, CrewAI, AutoGen)
    • Multi-agent Orchestration (task routing, planner-executor patterns)
    • Agent-to-Agent Communication (A2A)
    • Model Context Protocol (MCP) / tool integration standards
    • Function Calling / API Orchestration
    • RAG Pipelines (retrieval + ranking)
    • Vector Databases (Pinecone, FAISS, Pgvector, Weaviate, Qdrant)
    • Agent memory (short-term, long-term, contextual)
    • Workflow orchestration (Temporal, Prefect, Airflow)
    • Cloud (AWS Bedrock, Azure AI, Vertex AI)
  • Observability
    • Telemetry, logging, tracing (OpenTelemetry, LangSmith)
    • Monitoring KPIs (containment, success rate, latency, escalation)
  • Responsible AI & Guardrails
    • AIRB (Bias, Fairness, Complexity, Confusion)
    • Guardrails implementation (safety, compliance, fallback)
    • Prompt injection protection
    • Tool access control & data governance
  • Architecture & Design
    • End-to-end agentic architecture design
    • Multi-agent system design
    • Reusable frameworks for speed-to-delivery
    • Risk identification & mitigation
    • Assumptions & design trade-offs
  • Integration & Ecosystem
    • Enterprise integrations (CRM, backend systems, APIs)
    • Conversational AI platforms (CE, chat systems)
    • IVR / voice systems (audio codecs, speech flows)
    • Agent transfer logic (IVR → human escalation)
    • Unification across channels (chat, voice reuse)
    • Voice-to-Voice (V2V) future readiness
    • Open questions tracking
  • Full Stack Engineer (FSE) Tech Stack
    • Java
    • SpringBoot
    • RestAPI
    • MySQL
    • Docker
    • Kubernettes/NoMad
    • Angular
  • Solid grasp of core design principles for building scalable and maintainable applications
  • Demonstrate solid analytical thinking and problem-solving capabilities
  • Support QA, UAT and release phases of the project via defect analysis, change maintenance
  • Effective team player with excellent communication and interpersonal skills
  • Fast learner with a passion for exploring new programming languages and emerging technologies

Builder Responsibilities:
Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making.
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

  • B.Tech. or MCA with a minimum of 16 years of formal education
  • 3+ years of experience as an AI Builder or in a similar technical role
  • Hands-on experience as an AI, ML, or Full Stack Engineer
  • Understanding of microservices
  • Experience with Python for backend AI systems, asynchronous programming, and microservices
  • Experience with LLM APIs including OpenAI, Azure OpenAI, Anthropic, or Gemini
  • Experience with prompt engineering, agent development, and agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGen
  • Knowledge of multi-agent orchestration, agent-to-agent communication, Model Context Protocol, function calling, and API orchestration
  • Experience building RAG pipelines and using vector databases such as Pinecone, FAISS, Pgvector, Weaviate, or Qdrant
  • Experience with agent memory and workflow orchestration tools such as Temporal, Prefect, or Airflow
  • Experience with cloud AI platforms including AWS Bedrock, Azure AI, or Vertex AI
  • Knowledge of telemetry, logging, tracing, OpenTelemetry, LangSmith, and AI monitoring KPIs
  • Experience implementing responsible AI, guardrails, prompt injection protection, tool access control, and data governance
  • Ability to design scalable end-to-end agentic and multi-agent architectures
  • Experience with enterprise integrations, APIs, CRM or backend systems, conversational AI, IVR, voice systems, and agent transfer logic
  • Experience with Java, Spring Boot, REST APIs, MySQL, Docker, Kubernetes or Nomad, and Angular
  • Understanding of scalable and maintainable application design principles
  • Analytical thinking, problem-solving, communication, teamwork, and interpersonal skills
  • Experience supporting QA, UAT, release phases, defect analysis, and change maintenance

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.

Optum Insights

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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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