Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow - from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. AI Engineer III Fanatics Betting and Gaming is seeking an AI Engineer III on our cross-functional Applied AI team that is on a mission to 10x FBG with AI. You’ll build and productionize the software foundations that power next-gen recommenders, autonomous AI agents, and scalable AI-driven experiences—working in a fast-paced, startup-style environment where you’ll move from prototype to ship-ready features in days, not months. As an AI Engineer at Fanatics, you will partner with Applied Scientists, Data Engineers, and Product teams to design, implement, and maintain end-to-end systems that deliver autonomous agent capabilities to internal stakeholders and millions of fans. You’ll translate cutting-edge research into rock-solid code, architect microservices for low-latency inference, and champion best practices in reliability, scalability, and observability. Responsibilities - Engineer Conversational ML for Support Tools Design, fine-tune, and productionize dialogue models—integrating RAG pipelines, context-aware routing, and continuous feedback loops—to power internal workflows that supercharge customer-support agents while hitting sub-100 ms latency and enterprise-grade reliability. - Develop AI Agent Frameworks Create, integrate, and extend agent orchestration pipelines—building tools to deploy, monitor, and iterate on multi-agent workflows. - Collaborate in a Startup-Like Pod Work hands-on across the stack: from data ingestion and feature engineering to model deployment and UX integration—rapidly prototyping and shipping proof-of-concepts alongside engineers and product managers. - Optimize for Scale & Reliability Implement CI/CD for model updates, containerize inference workloads (Docker/Kubernetes), and instrument services with logging, tracing, and alerts to meet 99.9% uptime SLAs. - Champion Engineering Best Practices Write clear, maintainable code; conduct code reviews; mentor junior teammates; and evangelize automated testing, code, tuning and performance monitoring. - MCP Server working on an AI platform that relates to MCP Skills & Qualifications - 7 years of professional software engineering experience, with at least 2 years focused on AI/ML systems such as conversational AI, customer support, copilot and/or chatbot experiences - Hands-on experience building and deploying models in production - Hands-on experience with MCP (Model Context Protocols) - Proficiency in Python (FastAPI, Flask) and familiarity with strong-typed languages (Java, Go, or C#) for microservice development - Experience with container orchestration (Docker, Kubernetes) and cloud platforms (AWS, GCP, or Azure) - Knowledge of AI agents and frameworks (e.g. LangChain, Ray RLlib, custom orchestrators) - Solid understanding of distributed systems, API design, and data pipelines - Comfortable navigating ambiguity in a startup-like environment: you’re resourceful, rapid in iteration, and thrive on end-to-end ownership Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply! Salary Range: $171,000 - $225,000 per year The base salary for this role is based on job-related knowledge, skills, and experience and may vary depending on the successful candidate’s geographic location. For information about our benefits, please visit https://benefitsatfanatics.com/ Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.

Senior Principal – Healthcare AI Infosys Consulting is seeking a highly skilled and experienced Senior Principal with a strong focus on AI enabled Healthcare transformation across payers and provider health systems. This leadership role requires a professional with a proven track record in healthcare business consulting, with AI and Automation, to join our expanding healthcare practice. About the Role: We’re launching the next wave of AI in Healthcare and growing our team with leaders and individuals who bring insights and best practices to help organizations in their AI enabled business transformations.  We are growing rapidly, so you will have plenty of opportunity to bring your experiences, act on new ideas and hone your skill sets to keep up with the ever-growing demands of the digital landscape.  Our Healthcare Consulting team helps healthcare clients apply cutting edge technology and techniques to bring solutions to the payer and provider market sectors. You will lead advising our consulting practice on innovative and digital ways of working, and you will bring that same approach to the way in which we advise our healthcare clients. Responsibilities: - Senior Principal is a member of the Healthcare consulting practice leadership team and helps drive the strategy, offerings, revenue growth, people development, and overall success of the practice. - Senior Principal supports sales and business development, via developing healthcare points of view, client presentations and proposals, presenting to clients; and carries a sales bookings target as part of their performance management goals.      - Senior Principal drives consulting projects delivery, owning the planning, execution and deliverables completion for their client engagements; and carries a managed revenues and utilization target as part of their performance management goals.        - Bring healthcare domain knowledge and experiences, in one or more of the following functional areas in the healthcare value chain, examples include and not limited to: end to end claims process, population health, care management, utilization management and prior authorization, appeals and grievances, provider network, HEDIS / Quality / Stars improvement, enrollment and billing functions.   - Bring healthcare sector knowledge in either payers and/or providers (health systems), as we are looking for experienced business transformation consultants across both sectors.   - Work with clients to drive an AI-first approach to business transformation programs enabled by multiple forms of AI, automation, document understanding, optical character recognition (OCR), chatbots, process mining and machine learning. - Work with our clients to understand where and how AI and ML solutions can be applied, and what business problems it can solve. Perform discovery, analyze requirements, processes, and impediments to automation. - Work with clients to develop and optimize AI services and solutions including Centers of Excellence (CoEs), process assessments, business case development, vendor identification and selection. - Experiences with Generative AI and Agentic AI concepts, foundational skills, POCs and solution implementation.    - Lead definition of to-be state including creation and maintenance of PDD and SDD throughout the project lifecycle. - Create technology solution design at platform and architectural levels as well as information roadmaps and case definitions. - Help our client’s Information Technology organization set up automation environments (installation, monitors and controls.) and define the infrastructure requirements to implement AI solutions. - Lead proposal development and pursuits for multimillion dollar programs. Manage pipelines from opportunity identification to contract. - Help reimagine end to end business processes with an AI-First approach, identify the use cases, provide level of effort estimations and assumptions for the implementation of AI solutions. - Lead project teams. mentor, coach and develop consultants. - Contribute to practice development: Identify AI trends in healthcare, define relevant consulting service offerings and solutions. Author Point of View documents case studies and thought-leadership whitepapers. Basic Qualifications: - Bachelor's degree and at least nine years of progressive, post-baccalaureate work experience in a customer-facing role in a large consulting firm and/or combined with industry experience driving business transformations in a payer or provider / health system.   - At least nine years of experience leading teams of advisory services consultants in the delivery of AI, automation, and/or ML solutions and services and the technology lifecycle, including operating model/strategy, opportunity assessment, discovery and requirements definition, solution architecture and design, development, testing and production release. - At least seven years of healthcare domain experiences, in one or more of the following functional areas in the healthcare value chain, examples include and not limited to: end to end claims process, population health, care management, utilization management and prior authorization, appeals and grievances, provider network, HEDIS / Quality / Stars improvement, enrollment and billing functions.   - At least five years of experience in implementing AI and automation projects including robotics, low code, OCR, chatbots or virtual assistants, natural language processing, machine learning. - At least five years of experience with AI and automation platforms, for example: Microsoft, OpenAI, AWS, UiPath or Automation Anywhere or Blue Prism or Microsoft - At least four years of experience in AI and automation implementation using Agile methodologies or RPA methodologies. - At least two years of experience working on Process and Task Mining capabilities (specifically UiPath Process Mining) - Excellent written and verbal communication, presentation, client service and collaboration skills. - Strong ability to solve problems, troubleshoot, analyze processes, map processes, and communicate effectively with senior business and IT stakeholders. - Experience in leading or supervising a team of professionals. - Must be willing and able to travel up to 80%, (weekly travel) depending on client requirements. - U.S. citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor work related visas currently. Preferred Qualifications: - Experience in developing AI Agents using Citizens Development and LCNC solutions like Copilot Studio is preferrable   - Proficient in Prompt engineering for Data Analysis, Complex Strategy development and reimagining Digital twins of Business Personas across healthcare value chain - Experience in setting up AI Governance Model, AI CoE and Responsible AI to help payers or providers establish, scale and evolve AI across their enterprise - Experience with Agile, Scrum methodologies - Certified in Agile, Scrum delivery methodologies - Contributed to thought leadership or publishing articles or whitepapers on AI trends and/or client success stories. The total compensation (Base + Bonus) for this role is between $241,000 to $300,000. Benefits Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits: - Medical/Dental/Vision/Life Insurance - Long-term/Short-term Disability - Health and Dependent Care Reimbursement Accounts - Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) - 401(k) plan and contributions dependent on salary level - Paid holidays plus Paid Time Off About Us: Infosys Consulting is a global management consulting firm helping some of the world’s most recognizable brands transform and innovate. Our consultants are industry experts that lead complex change agendas driven by disruptive technology. With offices in 20 countries and backed by the power of the global Infosys brand, our teams help the C-suite navigate today’s digital landscape to win market share and create shareholder value for lasting competitive advantage. To see our ideas in action, or to join a new type of consulting firm, visit us at www.InfosysConsultingInsights.com EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role empowers strategic customers to realize measurable business outcomes by translating data into actionable insights and value narratives. You will lead the end-to-end data-to-value process, from mapping customer objectives to KPIs, analyzing structured and unstructured data, to producing defensible recommendations that drive adoption, retention, and expansion. The position requires strong collaboration with customer success, analytics, and operations teams to ensure insights scale across accounts through repeatable frameworks, templates, and playbooks. You will be central in delivering executive-ready presentations, value scorecards, and actionable plans that demonstrate ROI. This role offers the opportunity to shape high-impact, data-driven outcomes in a fast-paced, remote, and growth-focused environment. - Lead structured workshops with customer stakeholders to clarify objectives, constraints, success criteria, and translate them into measurable frameworks. - Analyze structured data (product usage, engagement metrics, CRM/CS platforms) and synthesize unstructured data (call notes, surveys, emails) to uncover insights and blockers. - Build transparent value models (ROI, TCO, productivity impact) with assumptions logs, sensitivity analyses, and confidence ratings. - Produce executive-ready deliverables, including Value Scorecards, Customer Objective Maps, Executive Value Readouts, and Value Realization Plans. - Equip customer success teams with insights, talk tracks, and actionable plans for strategic accounts. - Standardize top-account learnings into templates, KPI dictionaries, dashboards, and playbooks to scale value delivery across the broader customer base. - Partner with CS Ops, RevOps, and analytics teams to operationalize repeatable reporting workflows and value measurement frameworks. Qualifications - Extensive experience in value consulting, customer outcomes, CS Ops/RevOps analytics, solutions consulting, or management consulting with a focus on value realization. - Ability to translate structured and unstructured data into clear insights and executive-ready stories that drive action. - Strong quantitative skills: advanced proficiency in Excel/Sheets, BI tools (Tableau, Power BI, Looker), and SQL preferred. - Experience extracting themes from qualitative sources and reconciling them with quantitative signals. - Strong business acumen with expertise in KPI design, ROI/payback modeling, assumptions management, and confidence grading. - Excellent facilitation, stakeholder management, and executive communication skills. - Strong written and visual communication skills, including narrative development, charts, and executive-ready slides. - Nice-to-haves: SaaS post-sale experience, enablement/sales productivity metrics familiarity, repeatable measurement frameworks, and KPI dictionaries. - Familiarity with Customer Success tools (e.g., Gainsight), product usage software (e.g., PX, Pendo), CRM platforms, and value-focused platforms is desirable. Benefits - Competitive annual salary: $130,000–$140,000. - Fully remote work with flexibility to align hours across time zones. - Comprehensive medical, dental, and vision insurance. - Paid parental leave, flexible time off, and company holidays. - Professional development and career growth opportunities. - Inclusive and diverse workplace with recognition programs and awards for top employers. - Access to tools and resources to support employee experience, collaboration, and impact.

• Designs, develops, and implements complex enterprise AI software solutions using Copilot Studio and other enterprise platforms • Collaborates closely with technical and non-technical roles such as data modelers, architects, business analysts, data stewards, and SMEs • Leads projects focused on delivering AI solutions from end-to-end • Ensures that multiple products and services work together to meet business needs • Cultivates and disseminates knowledge of application-usage best practices