Requisition Number: 2359757 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. You'll enjoy the flexibility to work remotely* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Design and build AI-powered features using NLP/LLMs and classical ML for provider chat and voice workflows - Deliver end to end: data preparation, modeling/experimentation, evaluation, API integration, deployment, and monitoring in cloud environments - Implement responsible AI guardrails (content safety, PHI/PII controls, prompt hygiene, evaluation suites) and collaborate with governance/review partners - Develop and maintain web services and APIs that expose ML capabilities; write clear documentation and runbooks - Apply MLOps practices (CI for ML, model registry, reproducible experiments) and contribute to on call/operational support with mentorship - Collaborate with product, architecture, security, data, and platform teams to align with enterprise standards and deliver measurable outcomes - Continuously improve code quality, test coverage, latency, reliability, and cost per inference - 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 You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - 1+ years of total software engineering experience - 1+ years of experience with Python and/or Java programming - 1+ years of experience building and integrating model-backed APIs/services (Python, Node, or Java) into production systems - 1+ years of hands-on experience in AI/ML (e.g., NLP, GenAI, predictive modeling, or recommendation systems) - 1+ years of experience working with AWS cloud and core components (containers/serverless, IAM basics, storage/networking fundamentals, logging/metrics) - 1+ years of experience implementing security, access control, monitoring/alerting, and foundational resiliency/DR concepts for cloud applications - 1+ years of experience with version control, code reviews, automated testing, and CI/CD Preferred Qualifications: - Bachelors degree in Computer Science/related fields or equivalent experience - Exposure to healthcare data/processes *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $72,800 to $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 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. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

• Design and build AI systems behind real, production-grade applications • Own the full path from idea to deployment, including evaluation and observability • Create multi-step agents and tool-using LLM systems • Integrate AI workflows into business-critical environments • Collaborate with engineers, strategists, and designers

• Design and build agentic AI systems that facilitate conversational workflows for seller enablement • Develop a chat-based seller assistant that: • Answers seller questions using enterprise data • Provides insights on ordering, pricing, and customer behavior • Generates pre-visit one-pagers to guide sales conversations • Integrate large language models (e.g., Claude, ChatGPT) with internal data sources and APIs • Apply prompt engineering, context engineering, and agent orchestration techniques to improve reliability and usefulness • Build and evolve the platform using LangChain and LangGraph (initially in Python) • Design persistence and data access layers using Mongo or other data stores • Collaborate closely with product, analytics, and engineering partners to shape both technical direction and use cases • Serve as a champion for modern AI coding assistant tools (e.g., Cursor) within the team • Help define standards and best practices as this AI capability scales

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description ROLE DESCRIPTION As a Sr. Delivery Acceleration AI Engineer, you will design, develop, and optimize AI-powered autonomous implementation solutions that transform how ServiceNow Expert Services deliver customer implementations. Working within the Delivery Acceleration team, you'll focus on building and refining AI agents that automate ServiceNow configuration, generate implementation artifacts, and accelerate time-to-deploy-turning what previously required weeks of manual effort into AI-driven delivery that produces production-ready outputs in hours. This role requires deep expertise in prompt engineering, AI agent architecture, and an understanding of enterprise professional services delivery. You'll work directly with autonomous implementation platforms built on large language models to create, test, and refine the AI-driven workflows that generate ServiceNow configurations, user stories, test scripts, and deployment packages for customer engagements. Critically, you must understand the professional services go-to-market motion-how services are scoped, sold, estimated, and delivered-because the AI solutions you build must align with how consultants and sales teams position and execute customer engagements. Your work directly impacts delivery speed, quality, margin, and the customer experience. Success requires balancing technical depth in AI/LLM systems with practical business acumen. You'll operate in a fast-paced sprint cadence where AI capabilities evolve rapidly, requiring continuous experimentation, rigorous quality validation, and close collaboration with solution architects, product managers, and delivery consultants across AMS, EMEA, and APAC+JPN. You will partner closely with the platform administrator who owns operations, adoption, and governance for the AI-powered deal and delivery document generator, ensuring the AI agents and prompt assets you build are deployed, scaled, and governed effectively across the global delivery community. WHAT YOU GET TO DO IN THIS ROLE: Design & Develop AI-Powered Implementation Agents - Architect and build AI agent workflows that autonomously generate ServiceNow configurations, implementation plans, user stories, and test scripts from customer requirements - Develop, test, and iterate sophisticated prompt chains and orchestration patterns that produce consistent, production-quality outputs across ServiceNow product workflows (ITSM, CSM, HRSD, SPM, etc.) - Design multi-step agentic processes that handle complex implementation logic-scope validation, dependency mapping, configuration generation, and quality assurance-with minimal human intervention - Build and maintain prompt libraries, templates, and reusable patterns that encode delivery best practices and Gold Implementation standards into AI agent behavior, partnering with the platform administrator on library structure, versioning, and publication to end users - Partner with AI Architects and Solution Architects to ensure agent outputs align with ServiceNow platform strategy, product direction, and enterprise readiness standards Lead Prompt Engineering & AI Quality Optimization - Serve as a subject matter expert in prompt engineering techniques for large language models, including chain-of-thought reasoning, few-shot learning, structured output generation, and context window optimization - Design and execute systematic prompt evaluation frameworks that measure output accuracy, consistency, completeness, and adherence to ServiceNow implementation standards - Continuously optimize prompt performance through A/B testing, output analysis, and iterative refinement-treating prompts as production code with version control and quality gates, incorporating user feedback and quality-audit signals surfaced by the platform administrator and the champions network - Develop guardrails and validation logic that ensure AI-generated configurations meet enterprise quality standards before being deployed to the Expert Services community - Stay current on evolving platform capabilities and techniques, rapidly incorporating new approaches that improve agent accuracy and efficiency Integrate AI Solutions with Professional Services GTM & Delivery - Understand the full professional services lifecycle-from pre-sales scoping and estimation through delivery execution and go-live-and ensure AI agent capabilities map to real engagement workflows - Design AI solutions that support accurate estimation by providing data on automated vs. manual effort, enabling services sales teams to right-size engagements - Partner with delivery consultants to validate that AI-generated outputs are usable in real customer contexts, incorporating feedback into continuous improvement cycles - Contribute to packaging AI-accelerated delivery into repeatable service offerings that can be positioned and sold by services and license sales teams Build Platform Integrations & Delivery Automation - Integrate AI agent outputs with the ServiceNow platform, customer engagement portals, and internal delivery systems to create seamless end-to-end automation - Design APIs, data pipelines, and integration patterns that connect autonomous implementation tools with estimation systems, resource management platforms, and project tracking tools - Build automated testing and validation workflows that verify AI-generated configurations against ServiceNow best practices and customer requirements before deployment - Collaborate with the implementation platform team to embed AI capabilities into the customer and partner delivery experience - Ensure all integrations meet enterprise security, data governance, and compliance standards - Coordinate with the platform administrator on release management-staging validation, production rollout, and vendor escalation-so new AI capabilities reach users without disrupting platform stability Drive Measurement & Continuous Improvement - Establish quality metrics for AI agent outputs: accuracy rates, rework percentages, time savings, and customer acceptance rates, feeding these signals into the adoption and ROI metrics the platform administrator reports to A&M leadership - Analyze agent performance data to identify improvement opportunities, failure patterns, and expansion use cases - Contribute to the delivery acceleration roadmap by identifying where AI can fill capability gaps or replace manual processes - Document engineering best practices, architectural patterns, and lessons learned to build organizational knowledge - Participate in sprint ceremonies, code reviews, and cross-team collaboration in a two-week sprint cadence with monthly releases Qualifications To be successful in this role you have: - 5+ years of experience in software engineering, AI/ML engineering, or technical consulting in enterprise software environments - 2+ years of hands-on experience with large language models, prompt engineering, and AI agent development-not just using AI tools, but building production systems on top of them - Demonstrated expertise in prompt engineering techniques: chain-of-thought reasoning, structured output generation, few-shot/zero-shot patterns, context window management, and systematic prompt evaluation - Strong understanding of professional services delivery operations: how engagements are scoped, sold, estimated, staffed, and delivered - Experience with API design, system integration, and building data pipelines that connect AI outputs to enterprise workflows - Proficiency in Python, JavaScript/TypeScript, or similar languages used in AI agent development and automation - Understanding of ServiceNow platform architecture, data models, and configuration patterns - Excellent communication skills-ability to translate technical AI capabilities into business impact for non-technical stakeholders - Experience working in agile, sprint-based environments with measurable delivery outcomes Not required but nice to have: - Experience building autonomous implementation or code generation systems that produce production-ready outputs - Background in management consulting or professional services delivery operations - Familiarity with ServiceNow implementation methodology and delivery best practices - Experience with AI agent orchestration frameworks and multi-step workflow automation - Knowledge of AI ethics, output validation, responsible AI practices, and enterprise governance requirements - ServiceNow platform certifications (CSA, CIS, or similar) - Experience with enterprise estimation tools, resource management platforms, or delivery automation systems Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.