• Build workflows and tooling to analyze customer conversations, sales notes, support interactions, and usage data to identify patterns in customer needs and buying behavior. • Identify emerging themes in how prospects describe their problems and how they evaluate solutions. • Mine calls for common objections and questions, as well as messaging gaps or other opportunities to hone and clarify storytelling. • Use AI models to analyze how Teleport communicates across sales, marketing, and documentation. • Identify opportunities to improve clarity, positioning, and resonance with technical buyers. • Create repeatable processes that allow marketing and field teams to continuously learn from data. • Continuously explore Teleport’s internal data landscape to identify areas where AI can drive meaningful improvement. • Partner with Product Marketing, Sales, Solutions Engineering, and Product teams to ensure insights translate into real-world impact.

Title: AI Engineer Tech Lead - Sports Vertical Location: Remote, United States Hybrid in Chicago, Illinois, United States; Raleigh, NC, United States Full-time Job Description: General Information Career area: Information Technology Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo's world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub. Description and Requirements Role Overview Lenovo's Sports Vertical is seeking an AI Developer to design, build, and deploy NVIDIA-accelerated AI solutions for intelligent venue environments. This role focuses on hands-on development of real-time computer vision systems, GPU-optimized inference pipelines, digital twin integrations, and generative AI applications supporting command centers and immersive fan experiences. The ideal candidate has strong experience working with NVIDIA AI frameworks and production-grade AI deployments in high-performance environments. Key Responsibilities - Develop and deploy computer vision models for real-time video analytics use cases - Build GPU-optimized inference pipelines using NVIDIA DeepStream and TensorRT - Implement and customize NVIDIA Blueprints into production workflows - Integrate NVIDIA Video Search and Summarization (VSS) capabilities into AI platforms - Optimize AI models for performance on NVIDIA GPUs using CUDA acceleration - Support digital twin and simulation workflows leveraging NVIDIA Omniverse - Implement real-time avatar and digital human pipelines using NVIDIA ACE and related technologies - Develop multimodal AI systems combining vision, speech, and generative AI - Deploy AI workloads to edge infrastructure and integrate with operational dashboards - Ensure low-latency, high-availability performance in live operational environments Required Qualifications - Bachelors Degree in Computer Science or related field - 8+ years of AI/ML development experience - Strong Python programming expertise - Hands-on experience with: - PyTorch or TensorFlow - NVIDIA CUDA - NVIDIA DeepStream - TensorRT - NVIDIA Blueprints - Experience building real-time video stream processing pipelines - Experience deploying AI workloads in containerized environments (Docker, Kubernetes) - Strong understanding of GPU performance optimization Preferred Qualifications - Experience with NVIDIA AI Enterprise - Experience with NVIDIA Video Search and Summarization (VSS) - Experience with NVIDIA Omniverse - Experience with NVIDIA ACE (Avatar Cloud Engine) - Experience developing multimodal or generative AI applications - Experience in sports venues, smart infrastructure, or real-time operational environments The base salary range budgeted for this position is $125,000 to $147,000. Individuals may also be considered for bonuses and/or commissions. Lenovo's various benefits can be found at www.lenovobenefits.com. In compliance with Colorado's EPEWA, the expected Application Deadline for this position is 6/15/2026 - this applies to both internal and external candidates This role offers the flexibility to be home-based anywhere in the United States. If you're near our Chicago or Raleigh offices, we follow a friendly hybrid model with three days a week in the office-great for collaboration and connection! We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

As an AI-Augmented Developer, you design, build, and ship software solutions by leveraging advanced agentic coding workflows. You join a team that already operates a custom multi-agent Claude Code setup in production. You contribute to evolving this infrastructure and help define the next generation of AI-augmented development at LCI Education. RESPONSIBILITIES - Develop and ship software features using agentic coding workflows (code generation from specs, multi-step task execution, and autonomous problem-solving); - Design and configure multi-agent workflows tailored to the needs of the LCI digital platform; - Contribute to the evolution of the existing production-grade multi-agent Claude Code setup (specialized agents, skills, hooks); - Apply advanced prompt engineering practices in the context of software development (system prompts, structured outputs, iterative refinement); - Architect, build, and deploy solutions on a modern composable platform (MACH) powered by Uniform, Vercel, Coveo, Segment, and Dynamics 365; - Participate in spec-driven development, turning structured requirements into working code through AI agents; - Collaborate with internal teams to identify opportunities for AI integration in development processes; - Share best practices and contribute to the evolution of AI culture within the team. REQUIREMENTS - Diploma in computer science, software engineering, or a related field, or equivalent demonstrated experience; - Minimum 2 to 5 years of hands-on software development experience in a modern web environment; - Practical experience with agentic coding workflows and AI-augmented development tools (Claude Code, Cursor, Lovable, Supabase, or similar); - Solid proficiency in TypeScript / JavaScript in a modern web stack; - Familiarity with composable / MACH architecture (headless CMS, API-first, microservices) and modern deployment platforms (Vercel, Next.js); - Proficiency in French language (spoken and written); - Professional proficiency in English language (spoken and written). This role involves frequent interactions with clients and internal and external partners on both a national and global scale. Therefore, professional proficiency in English is a requirement for this role. BENEFITS - Permanent full-time position; - Remote position ; - Mobile allowance; - Group insurance, including EAP and telemedicine; - Retirement Savings Plan; - Health & Wellness Program. LCI Education is an equal opportunity employer and members of the following target groups are encouraged to apply: women, persons with disabilities, native people, visible minorities and ethnic minorities. If you are an applicant/person with a disability, you can receive assistance with the screening and selection process upon request.

Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together. Lead the autonomous medical coding enablement in a SaaS platform by integrating machine learning and LLMs. Working closely with data scientists and software engineers through data extraction, research, training, and deployment to create a scalable production solution that can handle millions of medical charts daily. You will be responsible for architecture decisions, code reviews, and coordinating across teams. You will work with cutting edge models, LLM, software, and tools in a fast paced environment. You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Lead end-to-end ML projects: problem definition, data strategy, feature engineering, modeling, evaluation, deployment, and monitoring - Architect scalable training and inference systems with strong SLAs, observability, and cost controls - Establish experimentation rigor: offline evaluation, A/B testing, guardrails, power analysis, and causal insights - Drive MLOps excellence: CI/CD for ML, reproducible pipelines, model registry and governance, automated retraining, drift/quality monitoring - Collaborate with product and design to translate ambiguous goals into measurable ML problems; define success metrics and attribution - Mentor and unblock engineers; conduct design and code reviews; set patterns for reliability, documentation, and testing - Partner with data engineering on feature pipelines, data contracts, and online/offline parity; champion data quality - Communicate tradeoffs and results to technical and non-technical stakeholders; influence roadmap and prioritization - Optional focus areas depending on interest and business needs: LLM applications (RAG, fine-tuning, evaluation/guardrails), recommendations/ranking, anomaly detection, forecasting 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 of Science or higher in Computer Science, Engineering, Statistics, or related field, or 4+ years of equivalent practical experience - 7+ years building and operating ML systems in production with a track record of shipped impact - 5+ years experience in C# or Python - 5+ years experience in Azure - 5+ years experience in supervised learning, feature engineering, evaluation methodology, bias/variance; deep learning and/or gradient boosting - 5+ MLOps: CI/CD for ML, containers, Kubernetes/serverless inference, model registries, reproducibility, and model monitoring - 2+ years experience LLMOps: prompt engineering, retrieval-augmented generation, fine-tuning, evaluation, and safety/guardrails Preferred Qualifications: - Domain experience in recommendations/ranking, time-series forecasting, anomaly detection, optimization, or reinforcement learning - Privacy, security, and responsible AI practices (GDPR/CCPA, PII handling, fairness) - Open-source contributions, publications, or patents; prior experience mentoring or tech leading small teams - Excellent communication and product sense; able to scope ambiguous problems and align stakeholders - Open-source contributions, publications, or patents; prior experience mentoring or tech leading small teams - Data engineering for ML: ETL/ELT, SQL, distributed processing (e.g., Spark), and feature pipelines - Experimentation: A/B testing design/analysis, guardrail metrics, basic causal inference *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 to $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. #OptumTechPJ