Requisition Number: 2374454 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 is seeking a visionary Digital AI architect for our Contract Center Transformation. The successful candidate will play a critical role in transforming our voice and digital experiences to conversational experiences, through multiple engagement channels (including web, app, chat, voice, and search), with a particular emphasis on transforming how consumers engage in the US health care system. In this role you will help make UnitedHealth Group's consumer obsessed digital vision come to life by using AI to deliver our next generation Conversational Experiences. Define and lead the strategic vision, architecture, and implementation of AI contact solutions across our consumer-facing digital experiences. Partner closely with business and product teams to identify and prioritize strategic opportunities for leveraging AI within web, mobile, chat messaging, voice messaging, and search channels. Oversee the development of scalable, secure, and innovative AI solutions designed to enhance consumer engagement and deliver personalized, intuitive self-service experiences that transform our current digital experiences into conversational experiences. 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: - Own the end-to-end technical architecture for conversational chat and messaging systems across web, mobile, and other digital channels - Design and implement channel-agnostic chat architectures that separate channel delivery from conversation intelligence, orchestration, and backend integrations - Define and implement multi-bot / multi-agent orchestration patterns, including routing between deterministic flows, AI agents, domain bots, and human agents - Design robust approaches for conversation state, memory, context propagation, and session continuity across channels, devices, and long-running customer journeys - Define and implement guardrails for chat systems, including policy enforcement, tool restrictions, grounding/validation patterns, escalation rules, and safe fallback behavior - Establish telemetry, observability, and evaluation patterns for conversational systems, including latency, fallback rates, drop-off points, repeated questions, low-confidence signals, transcript analysis, and quality feedback loops - Design secure integration patterns between chat systems and enterprise services such as identity, CRM, case management, customer profile, knowledge, and backend APIs - Define patterns for bot-to-agent handoff, agent context transfer, async messaging behavior, and unified customer journey continuity - Lead architecture reviews, publish reusable patterns and standards, mentor engineers, and influence cross-functional stakeholders across Product, Engineering, Security, and Operations - Evaluate emerging conversational AI capabilities, frameworks, and integration patterns to improve maintainability, quality, scalability, and customer outcomes 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: - Bachelor's degree in Computer Science, Engineering, or equivalent practical experience - 4+ years of experience in solution architecture and/or software engineering for customer-facing chat, messaging, conversational AI, or digital customer experience platforms - 2+ years of hands-on experience designing and implementing conversational chat systems in production, including orchestration, session handling, routing, and human handoff - 2+ years of experience implementing conversational AI for chat, including multi-turn conversation handling, fulfillment, escalation, and fallback design - 2+ years of experience with one or more of the following: memory/context management, multi-agent or multi-bot orchestration, grounding/guardrails, evaluation frameworks, or telemetry/quality feedback loops for conversational systems - 1+ years of experience building or integrating customer chat experiences into web/mobile applications using APIs/SDKs, secure authentication, and session/context management patterns - Solid experience with modern integration patterns including REST, event-driven systems, async messaging, data contracts, and error-handling patterns - Experience with AI in engineering workflows, including standards, guardrails, reusable prompts/patterns, and evaluation/quality checks - Demonstrated ability to produce architecture artifacts, lead technical workshops, mentor engineers, and communicate clearly with technical and non-technical stakeholders - Demonstrated operational mindset, including monitoring/alerting, incident support, root cause analysis, and change safety for customer-facing conversational platforms Preferred Qualifications: - Experience designing channel-agnostic conversational systems that support consistent behavior across chat, messaging, voice, and human-assisted experiences - Experience with LLM-based orchestration, RAG/grounding strategies, tool-calling patterns, or policy-enforced agent architectures - Experience with asynchronous messaging patterns, resume/rejoin behavior, and long-running session continuity - Experience with Infrastructure-as-Code and CI/CD for conversational platform delivery - Experience partnering with UX/content/conversation design teams to improve usability, tone, containment, and resolution outcomes - Experience operating in regulated or high-compliance environments with solid privacy, retention, and audit requirements *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 $112,700 - $193,200 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.

Title: Senior Cloud AI Solutions Consultant Location: Chicago, IL · Information Technology Job Description: Duration : 12 Months Location : Chicago - Remote Role Summary We are seeking a senior, client-facing Cloud AI Solutions Consultant who can lead technical design, make architecture decisions, and deliver production-ready cloud solutions that incorporate LLM and AI capabilities. This role requires strong C#/.NET engineering skills, hands-on Azure cloud experience, and the ability to independently guide clients and delivery teams from design through implementation. This is not a research or prototype role. You will work on real production systems, integrating AI capabilities into existing applications while ensuring scalability, reliability, and maintainability. If you are a senior .NET engineer with Azure experience who has implemented AI/LLM capabilities in real production systems and can confidently lead client design conversations, this role is for you. What You Will Do - Lead client and internal design sessions, providing clear technical direction on architecture, performance, scalability, availability, and reuse - Design and build cloud-native solutions in Azure using C#/.NET - Integrate LLM and AI capabilities into existing production applications, including evaluation of accuracy, cost, latency, and suitability by use case - Collaborate with engineers to implement designs efficiently within established production environments - Establish and enforce coding standards, architectural patterns, and CI/CD practices - Improve team efficiency through reusable components, shared patterns, and pragmatic automation - Provide clear, confident technical recommendations to clients and project leadership Required Experience - Bachelor’s degree in computer science, Engineering, or equivalent practical experience - 4+ years of professional software development experience - 4+ years of hands-on C#/.NET development in production environments - Experience designing and deploying solutions on Azure (other major cloud platforms acceptable) - Proven experience integrating LLM or AI capabilities into cloud-based applications - Experience with Azure DevOps pipelines and modern CI/CD practices - Ability to work independently, own technical decisions, and operate with minimal oversight Nice to Have - Experience evaluating LLM performance using testing or numerical methods - Familiarity with intelligent automation platforms or patterns - Experience with Microsoft Power Platform What This Role Is Not - Not a data science or research role - Not a junior or mentorship-only position - Not focused on model training or academic ML work Core Competencies - Strong architectural judgment and problem-solving skills - Clear and confident communication with technical and non-technical stakeholders - Proven leadership in improving engineering efficiency and code quality - Practical, outcome-focused approach to AI and cloud solution

• Create emotional, scroll-stopping video content — product launches, ads, social clips, and brand films — that make people want to join Base360. • Use AI tools end to end — video, voice, image, and music generation (Runway, Sora, Kling, ElevenLabs, Midjourney, and whatever comes next) — to produce more, faster, and better. • Animate and edit — bring the product to life with motion design, product demos, kinetic typography, and slick transitions. • Own ideas from concept to final export — you pitch the concept, you build it, you ship it. • Produce content for every format — vertical short-form for TikTok/Reels, ads for paid social, and hero videos for the website. • Keep a consistent brand feel across everything, so all our video looks and feels like one premium brand. • Move fast and iterate — test ideas, read what performs, and double down on what works.

Role Description What you'll do: - Classify audio passages as speaking versus reading aloud, with an ear for subtle distinctions. - Support quality checks on read-aloud detection datasets to keep classification accuracy high. Qualifications - High school diploma or equivalent. - Native English speaker. - English fluency: B2. Requirements - Type: Contract. - Time commitment: 10-20 hours per week. - Project duration: 4 weeks, potential extension.