Jobs at Optum

Owns the strategy, roadmap, delivery, and adoption of enterprise AI enablement platforms and AI products. Responsibilities include defining AI capabilities, prioritizing use cases, managing product lifecycles, partnering with engineering and data teams, establishing responsible AI governance, managing budgets and vendors, and influencing senior stakeholders. The role also mentors product teams and drives AI adoption, evaluation, monitoring, compliance, and organizational transformation.

Leads software and AI/ML engineering strategy, architecture, delivery, and organizational development. Manages multi-team engineering organizations, roadmaps, budgets, hiring, and leadership development while overseeing cloud-native services, APIs, machine learning, generative AI, RAG, AI agents, MLOps, LLMOps, responsible AI, security, reliability, and production operations. Partners with product, data, security, and business leaders to deliver measurable outcomes and accelerate modernization.

Leads the architecture, development, and production delivery of AI/ML capabilities in enterprise healthcare applications. Builds ML and generative AI solutions, RAG systems, model-serving APIs, MLOps workflows, distributed cloud services, and CI/CD pipelines. Ensures responsible AI, security, privacy, reliability, monitoring, and operational readiness. Influences architecture across teams, mentors engineers, documents technical decisions, and delivers reusable production components.

Leads the architecture and development of scalable Big Data pipelines and agentic AI systems. Establishes technical vision, cloud and application security standards, and enterprise architecture practices. Drives secure, reliable, high-performance production platforms, evaluates emerging technologies, mentors engineers, collaborates cross-functionally, and owns complex initiatives from architecture through deployment and optimization.

Lead development of backend services and responsive web interfaces using Go, React, Redux, and Node.js. Collaborate with product, design, development, and DevOps teams to deliver maintainable software. Conduct code reviews, write tested and documented code, and deploy applications on Google Cloud Platform using services such as GKE. Improve application performance, scalability, and security while supporting cross-functional delivery.

Leads delivery of enterprise conversational AI platforms, including chatbots and voice bots. Oversees Agile execution, technical architecture, cloud-native engineering, CI/CD, Terraform, Responsible AI, and AI adoption. Partners with product, security, architecture, and business teams while managing risks and executive communication. Mentors engineers and technical leads, supports hiring and performance management, and ensures scalable, secure, compliant, and operationally excellent solutions.

Lead end-to-end delivery of enterprise conversational AI platforms, including chatbots, voice bots, and virtual assistants. Design scalable cloud-native solutions using Amazon Lex, Dialogflow, CI/CD, Terraform, and responsible AI practices. Drive Agile execution, stakeholder alignment, operational excellence, and AI adoption while mentoring engineers and technical leads. Partner with product, architecture, security, and business teams to deliver secure, compliant, and innovative AI solutions.

Design end-to-end traditional, conversational, and agentic search experiences across web and mobile. Create accessible interfaces for search results, AI-generated outputs, structured data, conversational flows, edge cases, and agent actions. Build Figma components and prototypes, partner with product, engineering, research, and design systems teams, validate designs through testing and metrics, present design rationale, and mentor junior designers.

Facilitates behavioral, professional, and capability development programs; coordinates learning calendars, stakeholders, vendors, and program metrics; manages learning projects from planning through completion; owns onboarding readiness and delivery for the Chennai site; maintains learning documentation and reports; and builds trusted partnerships with business and HR leaders to improve employee development experiences.

Leads enterprise software design, development, architecture, deployment, and production support using Trizetto Facets, SQL, Python, or Java. Drives REST APIs, microservices, cloud adoption, CI/CD, DevOps, security, reliability, and AI/ML initiatives. Provides technical leadership, stakeholder collaboration, mentoring, code reviews, architecture ownership, root-cause analysis, and continuous improvement across large-scale healthcare applications.

Own the strategy, roadmap, service model, and investment priorities for an enterprise AI runtime and agentic platform. Productize GPU compute, Kubernetes, model serving, inference, agent orchestration, lifecycle management, APIs, observability, and developer self-service across private, public, and hybrid clouds. Partner with engineering, cloud, security, governance, architecture, and compliance leaders to improve platform reliability, utilization, adoption, cost efficiency, and developer experience. Influence senior stakeholders and translate complex infrastructure capabilities into consumable enterprise services.

Designs and develops enterprise-scale Java and Spring Boot microservices, REST APIs, event-driven processors, and Camunda-integrated workflows. Manages CI/CD, testing, deployments, monitoring, incident resolution, performance tuning, and cloud integrations. Collaborates with architects, QA, DevOps, and business stakeholders while providing technical guidance and mentorship. Requires strong distributed systems, messaging, Agile, and enterprise automation experience, with opportunities to build AI-powered solutions.

Provide L1-L3 production support for enterprise MongoDB Atlas environments, including monitoring, scaling, backups, upgrades, performance tuning, security, networking, disaster recovery, and incident resolution. Build Terraform-based infrastructure automation, support multi-cloud deployments across Azure, AWS, and GCP, partner with application and engineering teams, coordinate vendor escalations, and participate in 24/7 on-call coverage.

Leads the architecture, development, and productionization of AI/ML and GenAI solutions for healthcare operations. Responsibilities include building clinical and claims data pipelines, developing LLM and RAG applications, implementing MLOps and LLMOps, ensuring HIPAA-compliant governance, translating business needs into technical roadmaps, communicating with stakeholders, and mentoring engineers.