Jobs at Optum

Design, develop, and deploy responsible AI-powered voice solutions using Amazon Bedrock and multiple large language models. Build scalable cloud services and APIs for real-time voice interactions, fine-tune conversational AI, optimize bot performance, and collaborate with teams to translate requirements into generative AI agents. Evaluate emerging LLM technologies and improve engineering workflows through approved AI tools.

Develops and executes multi-channel marketing campaigns and patient-facing communications for healthcare practices. Manages web, email, social, video, print, signage, events, sponsorship requests, and in-clinic collateral. Coordinates marketing intake, prioritizes projects, partners with operational and technical stakeholders, manages digital signage platforms, and identifies process improvements. The role requires strong organization, communication, collaboration, content marketing, and stakeholder management skills.

Generates and qualifies new business leads for Optum Life Sciences across pharmaceutical, biotech, medical device, and related markets. Responsibilities include prospect research, cold outreach, client engagement, product presentations, sales collaboration, pipeline management, market research, campaign support, and reporting. The role uses CRM, marketing automation, segmentation, and approved AI tools while supporting sales strategy and maintaining product portfolio insights. Remote work is available within the U.S., with travel of up to 20%.

Generates hospice referrals and census growth by developing relationships with healthcare providers, educating referral sources and families, coordinating admissions, assessing patient needs, documenting sales activity in CRM, and achieving territory goals. The role includes community outreach, complaint response, and travel of 50% or more within the assigned territory.

Designs AI-enabled care services by mapping current workflows, creating service blueprints, facilitating improvement events, defining operational measures, and guiding adoption across healthcare markets. Partners with product, engineering, clinical, operations, legal, security, and compliance teams to ensure services are responsible and enterprise-ready. Documents decisions and designs for reuse, supports go-live, and improves AI fluency among care teams.

Leads enterprise social media strategy, governance, operations, technology platforms, vendor relationships, budgets, and process adoption. Develops policies, training, communications, and account-security practices while partnering cross-functionally with legal, compliance, procurement, marketing, and operations. Oversees tools, RFPs, content planning, operational improvements, onboarding, strategic projects, and mentorship for junior team members.

Lead delivery of API platform capabilities from discovery through launch. Translate business, security, and operational needs into requirements and user stories, prioritize work, coordinate cross-functional execution, improve reliability and self-service onboarding, and use metrics and feedback to drive platform improvements.

Build and deploy AI-powered, LLM-based solutions in client environments. Implement integrations between models, APIs, and healthcare systems, write production-ready code, support testing and deployments, assist data preparation and prompt configuration, troubleshoot issues, and collaborate with cross-functional teams and clients to deliver scalable, secure solutions and enable knowledge transfer.

Partner with healthcare clients to design, prototype, and deploy production-grade AI/LLM solutions. Lead discovery, architecture, cloud integration, and delivery while troubleshooting distributed systems and driving measurable client outcomes.

Build and deploy AI-powered, LLM-based solutions in client environments: implement integrations, develop production-ready code, support cloud deployments, prepare data and prompts, troubleshoot, and collaborate with client and cross-functional teams while documenting and transferring knowledge to enable sustainable production adoption.

Partner with healthcare clients to discover, design, and deliver production-grade AI/LLM solutions. Architect cloud-native systems, build and deploy ML/LLM applications, prototype rapidly, troubleshoot distributed systems, and lead client engagements to drive measurable business outcomes while collaborating across product, platform, and engineering teams.