Jobs at Optum

Build and manage production-grade conversational, generative, and agentic AI applications using Amazon Bedrock, Bedrock AgentCore, and AWS Strands. Lead voice and chat bot development, agent orchestration, prompt engineering, tool calling, evaluation, security, monitoring, optimization, and responsible AI controls. Develop scalable cloud-native architectures using AWS services, improve agent accuracy and reliability, and support enterprise AI governance and performance.

Develops and maintains automated test suites, creates testing frameworks and scenarios, executes functional and regression testing, and reports quality metrics. Collaborates with Scrum teams on requirements, backlog grooming, release validation, defect resolution, and process improvements. Manages testing workflows, mitigates automation risks, ensures compliance with QA standards, and supports scalable automation implementations using tools such as AccelQ and Rally.

Leads the design, development, and support of enterprise Amazon Connect contact center solutions. Provides technical leadership, architecture guidance, code and design reviews, mentoring, integrations, cloud-native AWS development, conversational AI implementation, digital engagement support, production deployments, monitoring, and incident resolution. Builds contact flows, routing logic, serverless applications, APIs, and integrations across customer and agent channels.

Provides 24/7 application and data-feed support for centrally hosted pharmacy software. Monitors systems, investigates and resolves technical issues, troubleshoots software, network, database, and data problems, and escalates complex incidents. Collaborates with developers, DBAs, QA, and support teams; documents knowledge; conducts training; coaches team members; and supports customer escalations and projects.

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.

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.

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.

Leads enterprise software design and development using .NET technologies, web frameworks, Azure, microservices, and domain-driven design. Provides technical direction, mentors developers, conducts code reviews, contributes to architecture and Scrum ceremonies, decomposes requirements, troubleshoots and improves applications, and develops reusable services and documentation. Requires strong team leadership, Agile experience, and collaboration across business and IT groups.