Requisition Number: 2337561 Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. Optum Technology is UnitedHealth Group's enterprise team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. If you are located in NJ/MN/DC, you will have the flexibility to work remotely* as you take on some tough challenges. This position follows a hybrid schedule with four in-office days per week. Primary Responsibilities: - Lead AI/ML adoption across the team, driving innovative use of both Generative AI and traditional ML techniques - Design, develop, test, deploy, maintain, and continuously improve AI-powered software solutions to meet customer and business needs - Build responsible AI solutions and service components to support the Provider community, ensuring compliance with ethical and regulatory standards - Develop new features leveraging AI/ML, including Generative AI models, predictive analytics, and automation capabilities - Provide technical leadership for AI initiatives, including Chatbots and conversational AI solutions - Partner with product management, architects, and engineering leadership to deliver creative, scalable AI solutions for healthcare challenges - Drive alignment with enterprise AI strategies and ensure solutions meet business objectives and engineering best practices - Accountable for high-quality software deliverables and operational excellence - Mentor and train team members on AI/ML technologies, frameworks, and responsible AI practices - Collaborate with broader engineering teams to integrate AI into cloud modernization efforts and digital-first initiatives - Exercise independent judgment to prioritize, plan, and manage AI-related activities and projects 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: - Undergraduate degree or equivalent experience - 8+ years of software engineering experience - 5+ years of hands-on experience building AI/ML solutions, including LLMs, Generative AI, and traditional ML models - 5+ years of experience hosting applications in cloud environments - Solid experience with Chatbots, conversational AI, and NLP-based solutions - Solid knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations Preferred Qualifications: - 5+ years of experience with Web and API development - Healthcare experience *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 $91,700 to $163,700 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.

Role Description We’re looking for an experienced AI Security Engineer to help design and implement security controls for AI and machine learning solutions in a modern cloud environment. This is a high-visibility role focused on securing AI systems across training, deployment, and inference — including Generative AI and agentic AI use cases. You’ll work closely with senior security leaders and engineers to build a new AI security program from the ground up, helping define guardrails, architectures, and threat mitigation strategies in a rapidly evolving space. What You’ll Do - Design and implement security controls for AI/ML pipelines, including training, evaluation, deployment, and inference - Build and maintain secure reference architectures for GenAI and ML solutions - Define and enforce guardrails for agentic AI, including secure handling of prompts, embeddings, outputs, and conversation memory - Identify and mitigate AI‑specific threats such as: - Prompt injection (direct & indirect) - Data poisoning and training-time attacks - Model inversion, extraction, and membership inference - Sensitive data leakage via prompts, logs, embeddings, or telemetry - Implement identity, access, encryption, secrets management, and network segmentation for AI workloads - Evaluate and secure open-source LLMs and AI tools used in development environments - Partner with application security and cloud teams to align AI security with enterprise standards - Support incident response, monitoring, and security tooling optimization - Communicate effectively with senior leaders, including Directors and the CISO Qualifications - 5+ years of cloud engineering experience, primarily in Azure - Strong background in cybersecurity or information security - Hands-on experience securing AI, ML, or data platforms - Knowledge of risk management, threat modeling, and security architecture - Strong communication skills and comfort engaging with senior stakeholders Requirements - Experience with AWS in addition to Azure (Nice to Have) - Familiarity with AI governance, supply chain security, or model risk (Nice to Have) - Exposure to Microsoft AI security controls or related tooling (Nice to Have) Benefits - Medical, Dental & Vision - 401(k) (Pre‑Tax & Roth) - Life Insurance & Disability Coverage - HSA & Transportation Benefits - Employee Assistance Program - Paid Time Off / Sick Leave (eligibility based on assignment) Job Type & Location This is a Contract to Hire position based out of Las Vegas, NV. Pay and Benefits The pay range for this position is $80.00 - $90.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on May 12, 2026.

• Expand Diffusion Models: Advance systems for generating, refining, and enhancing content in 2D and 3D. • Bring 3D into Focus: Use diffusion models to generate shapes and materials, ensuring outputs are consistent and useful for real-world design. • Create Intelligent Agents: Build LLM-powered tools that help designers by automating repetitive tasks and providing thoughtful feedback. • Optimize for Designers: Adapt AI systems to be fast, reliable, and easy to use in real-time workflows. • Build for Integration: Ensure that 2D and 3D tools work together seamlessly, helping designers move easily between different types of projects.

Role Description As an AI Senior Engineer, you’ll design, build, and deploy AI-powered products and services across the product platform. You’ll deliver production-grade transcript intelligence, scalable infrastructure, RAG-based search and retrieval, and attorney-facing AI features that support deposition preparation, real-time assistance, and post-deposition analysis. Key Responsibilities - Design, build, and maintain AI-powered APIs for high-volume transcript ingestion, analysis, and structured output delivery - Develop transcript intelligence systems using deterministic processing, LLM-based analysis, and audio review - Build and optimize RAG pipelines, including document parsing, embeddings, vector storage, and retrieval strategies - Develop attorney-facing AI features for deposition preparation, real-time assistance, and post-deposition workflows - Contribute to platform consolidation, service integration, and internal workflow automation - Design, implement, and operate distributed systems using synchronous and asynchronous communication patterns - Debug and maintain services across Rails APIs, TypeScript services, and Google Cloud infrastructure - Collaborate with engineering leadership to define architecture, evaluate trade-offs, and deliver scalable solutions - Write, test, and deploy production code across the full software development lifecycle - Maintain observability across services, including logging, tracing, and error monitoring - Document technical decisions, track work clearly, and communicate progress and blockers effectively Qualifications - Skills: Strong problem-solving, communication, organization, and technical ownership skills - AI/ML: Demonstrated expertise in AI/ML application development, LLM integration, prompt engineering, evaluation, and AI-assisted development tools - RAG: Ability to build and maintain RAG systems, including document processing, embeddings, and retrieval optimization - Technical: Strong programming skills in Python and at least one of TypeScript or Ruby - Cloud: Experience with cloud infrastructure, preferably Google Cloud Platform, including event-driven architectures - Architecture: Experience with distributed systems, microservices, API design, CI/CD pipelines, containerization, and infrastructure as code - Experience: 7+ years of software engineering experience with a focus on backend or full stack development - Education: Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience - Attributes: Collaborative, low-ego, team-first mindset with a commitment to documentation, testing, and continuous improvement Requirements - Delivery of production-ready AI features within defined timelines, including initial deployment within the first 90 days - Improved transcript processing accuracy, scalability, and system reliability - Successful deployment and performance of RAG-based search and retrieval capabilities - System uptime, latency, and error rates within acceptable thresholds for high-volume processing - High-quality, maintainable code with strong test coverage and documentation - Effective collaboration and communication across the engineering team Work Environment This is a fully remote position. The position requires focus, collaboration, and the ability to manage complex technical workstreams while supporting scalable AI product development. Equal Opportunity & Accommodations Esquire Deposition Solutions policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. Esquire Deposition Solutions is committed to fair hiring practices. Qualified applicants with criminal histories will be considered for employment in a manner consistent with applicable laws, including but not limited to the California Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and the Los Angeles County Fair Chance Ordinance. We also comply with similar laws in other jurisdictions where we operate. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request reasonable accommodation. You can submit your request to talent.acquisition@esquiresolutions.com.