The Role
Build, configure, test, deploy, and support secure AI connectors, plugins, and MCP servers across Microsoft, OpenAI, Anthropic, and Google platforms. Integrate enterprise APIs and data sources using authentication, authorization mapping, safe retrieval, reliable API behavior, monitoring, and CI/CD. Support architecture, security, legal, privacy, and IAM reviews; maintain documentation, runbooks, templates, and audit evidence; troubleshoot incidents and coordinate production readiness across pilot, limited availability, and general availability releases.
Summary Generated by Built In
Requisition Number: 2390092
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.
Position in this function builds, configures and supports secure AI integrations that connect business-unit data and services to AI platforms. On Optum Technology's AI Engineering connector team, you will deliver plugins, connectors, Model Context Protocol (MCP) servers and related components across Microsoft Copilot, OpenAI, Anthropic and Google ecosystems. This is a hands-on implementation, testing and operational support role, not primarily model training or ETL development. Partner with source owners, platform teams and reviewers to move approved integrations from intake through validation, launch and ongoing support.
Primary Responsibilities:
Required Qualifications:
Preferred Qualifications:
Measures of Success
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.
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.
Position in this function builds, configures and supports secure AI integrations that connect business-unit data and services to AI platforms. On Optum Technology's AI Engineering connector team, you will deliver plugins, connectors, Model Context Protocol (MCP) servers and related components across Microsoft Copilot, OpenAI, Anthropic and Google ecosystems. This is a hands-on implementation, testing and operational support role, not primarily model training or ETL development. Partner with source owners, platform teams and reviewers to move approved integrations from intake through validation, launch and ongoing support.
Primary Responsibilities:
- Translate business intake into implementation designs with source owners and AI Engineering; confirm approved scope, data boundaries, acceptance criteria and leadership priorities
- Build and configure AI connectors, plugins, MCP servers and, where approved, skills packages. Validate submitted manifests, API contracts, tool schemas, skill and instruction files, platform-specific packaging and custom code before onboarding; account for instruction differences across platforms
- Implement approved authentication and authorization, including Entra app registrations, delegated OAuth, least-privilege permissions and source-to-platform access mapping; coordinate IAM approvals
- Deliver safe retrieval and, where explicitly approved, write capabilities that respect source entitlements, data-use limits and enterprise gateway requirements
- Engineer reliable API behavior with pagination, bounded retries, rate-limit handling, synchronization controls and actionable error handling
- Create unit, integration, end-to-end, security and performance tests; validate authentication, retrieval, access mapping and sync behavior in sandbox and staging environments
- Use formal intake with technical evidence for architecture, Security, Legal and privacy reviews, including AIRB/ESRO where applicable. Retain catalog provenance through AID or approval metadata where required to distinguish reviewed artifacts from unauthorized uploads. Implement approved controls without substituting for approval owners; help control owners define evolving custom-agent governance
- Administer platform configuration and registrations, including M365 where relevant, and explain integration usage. Deploy only through approved development, test and production environments, least-privilege access and release gates; prevent direct production creation or uploads that bypass review. Maintain reusable configuration and onboarding templates
- Maintain version-controlled code, peer reviews and CI/CD checks; document API changes, configuration, deployment and recovery procedures
- Instrument monitoring and alerts, protect sensitive data in logs and maintain runbooks for support, access changes, onboarding and audit evidence
- Diagnose integration failures and network reachability, internet, gateway and firewall dependencies with AI Catalog, cloud, platform, network and source teams. Revert configuration or roll back releases safely, establish root causes and preventive fixes, and escalate to vendor technical support with reproducible evidence
- Supply test evidence and support readiness for pilot, limited availability (LA) and general availability (GA) gates; work with the manager and project manager on risks, dependencies and user feedback
- Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements
Required Qualifications:
- Primary: demonstrated AI integration development
- Demonstrated hands-on development, deployment, platform configuration and troubleshooting of connectors, plugins or MCP servers through a validated pilot or production release on at least one AI platform, with transferable diagnostic skills across ecosystems. Explain architecture, package structures, tests and failure handling; diagnose authorization/token endpoints, service principals, client IDs and callbacks, including differences between Entra and source-managed or custom identity providers. Generic model-training, ETL or UI-only administration experience alone does not meet this requirement
- Experience connecting enterprise APIs or data sources to at least one AI platform, with practical understanding of authentication, source authorization mapping and safe retrieval or approved tool execution
- Secondary: programming and software delivery
- Bachelor's degree in computer science, engineering or a related field, or equivalent practical experience. Demonstrated problem-solving and clear technical documentation for implementation and support partners
- Solid Python or Java development experience and ability to work with the other language. Three or more years of hands-on software or integration development, or equivalent demonstrated capability, proposed for HR review. Demonstrate reading and debugging custom integration code, validating submitted packages, and delivering tested configuration and deployment changes. Working knowledge of REST/JSON, OAuth, automated testing, version control, peer review and CI/CD
- Tertiary: governance, legal review and data privacy
- Familiarity with AI and enterprise governance, legal review, data privacy and least-privilege principles. Ability to document data flows and controls, participate in required reviews, implement approved restrictions and escalate risks. Approval authority remains with designated architecture, Security, Legal, privacy and IAM owners
Preferred Qualifications:
- Experience with TypeScript or C#, Azure, Copilot Studio or Power Platform
- Healthcare or other regulated-enterprise integration experience, including careful handling of protected or sensitive information
- Microsoft 365 integration packaging, Entra administration or enterprise gateway experience
- Knowledge of integration delivery across multiple AI ecosystems, with reusable onboarding patterns, observability and production incident response
Measures of Success
- Accepted integrations satisfy agreed business use cases, source authorization boundaries and platform compatibility requirements
- Test evidence demonstrates secure access, reliable retrieval and synchronization, and performance against jointly agreed acceptance criteria; material defects are resolved before rollout
- Pilot, LA and GA releases pass required approval and operational-readiness gates with documented configuration, support ownership and rollback or recovery procedures
- Monitoring detects meaningful failures; incidents are resolved with source teams and preventive fixes reduce recurring integration issues
- Reusable packages, templates and runbooks improve repeatability and onboarding lead time against an agreed baseline, informed by pilot feedback
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
- Hands-on development, deployment, platform configuration, and troubleshooting of connectors, plugins, or MCP servers through a validated pilot or production release on at least one AI platform
- Experience connecting enterprise APIs or data sources to an AI platform, including authentication, source authorization mapping, and safe retrieval or approved tool execution
- Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience
- Three or more years of hands-on software or integration development, or equivalent demonstrated capability
- Solid Python or Java development experience and ability to work with the other language
- Ability to read and debug custom integration code, validate submitted packages, and deliver tested configuration and deployment changes
- Working knowledge of REST/JSON, OAuth, automated testing, version control, peer review, and CI/CD
- Problem-solving ability and clear technical documentation skills
- Familiarity with AI and enterprise governance, legal review, data privacy, least-privilege principles, data flows, controls, and risk escalation
- Experience with TypeScript or C#
- Experience with Azure, Copilot Studio, or Power Platform
- Healthcare or other regulated-enterprise integration experience involving protected or sensitive information
- Microsoft 365 integration packaging, Entra administration, or enterprise gateway experience
- Experience delivering integrations across multiple AI ecosystems, with reusable onboarding patterns, observability, and production incident response
Optum Compensation & Benefits Highlights
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Leave & Time Off Breadth — PTO is generally described as decent or good, and many note it as a strong part of the package. Actual ability to take time off can depend on workload and team coverage.
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Retirement Support — Offerings include a 401(k) with employer match and access to an employee stock purchase plan, which are highlighted as meaningful components of total rewards. These programs are consistently referenced among core benefits.
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Parental & Family Support — Parental and caregiver leave, along with adoption assistance, are publicly highlighted and viewed as notable elements of the package. Availability can be role-specific, but these supports contribute to overall breadth where offered.
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The Company
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
