> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # Applied AI Engineer Canonical URL: https://nextmove.md/fde/jobs/e9efeb50afa5cf93 Fanatics posts a FDE role to build for teams inside the company in New York, NY, at $150,000–$200,000 base, below the senior FDE median of $190,000 across 1,849 postings with pay. An Applied AI Engineer embeds with corporate functions to identify high-impact bottlenecks and build production AI agents and workflows that improve business outcomes. Read from the employer’s posting on November 6, 2026. - [Fanatics](https://nextmove.md/fde/companies/fanatics) Posted Oct 19, 2026 by Fanatics · open on Greenhouse as of Nov 6, 2026 **$150,000–$200,000** New York, NY On-site Full-time An Applied AI Engineer embeds with corporate functions to identify high-impact bottlenecks and build production AI agents and workflows that improve business outcomes. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fe9efeb50afa5cf93&placement=top) - [View posting at Fanatics](https://job-boards.greenhouse.io/fanaticsinc/jobs/4457595009) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay $150K–$200K Below the median Midpoint $175K · median $190K This job $150K to $200K. Senior FDE postings, 1,849 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds for teams inside the company Balance **Mostly building** Project stages 1. Pre-sales (not covered) 2. Proof of concept (not covered) 3. Implementation 4. Operations (not covered) - **Coding**: Writes production code - **Builds for**: Internal teams - **Level**: Senior - **Role**: Individual contributor ### What they ask for Experience - **3+ years** Applied AI or software engineering experience, including time at a startup or fast-growing company shipping AI-powered products or automations to real users Background - **Software engineering** ### Do you meet what the posting states? The posting asks for 3+ years. How many do you have? The posting reads as a senior role. What level are you at now? The job is in New York, NY. Could you work there? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: New York, NY - **Work arrangement**: On-site - **Employment type**: Full-time - **Pay**: ## More like this [Bluevine](https://nextmove.md/fde/companies/bluevine) ### [Lead AI Solutions Engineer](https://nextmove.md/fde/jobs/be2f5f606513704a) Jersey City, NJ Hybrid 6w ago $153,200–$187,700 [Citigroup](https://nextmove.md/fde/companies/citigroup) ### [Senior Forward Deployed AI Engineer - Vice President](https://nextmove.md/fde/jobs/6f40305272c7b9b3) New York, NY 3w ago $142,320–$213,480 [Etsy](https://nextmove.md/fde/companies/etsy) ### [Senior Software Engineer I, Data Storage](https://nextmove.md/fde/jobs/2a10515b2819fbd4) Brooklyn, NY Hybrid 5mo ago $164,000–$193,000 ## The job description from Fanatics Posted by Fanatics on Oct 19, 2026 ### About Us 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. **The Role** Are you a builder who has already shipped AI that changed how a business runs? Fanatics wants you. We're hiring full-time Applied AI Engineers to join a small, senior team that sits at the center of how Fanatics transforms itself with AI. Our goal is simple and ambitious: make Fanatics a faster, more automated company. Each Applied AI Engineer works like a tiger team: embed with a business function, find its biggest bottlenecks, replace slow, manual work with AI agents and workflows that actually run in production, then move on to the next challenge. This is a doer's role, not an advisory one. You'll own problems end to end: define them, design the solution, build it, prove it works, and drive adoption. You'll have real autonomy, executive visibility, and a direct line to leadership, with joint reporting to the CFO and Corporate AI Transformation Lead. We're looking for someone with prior experience doing applied AI work at a startup or fast-growing company, who is used to moving quickly with limited resources and is ready to bring that pace to a global brand. **What You'll Do** • Embed within corporate functions across the business, find the workflows where AI can remove the most manual effort or unlock the most growth, fix them, then rotate to the next function. • Design, build, and deploy production-grade agents and agentic workflows using frontier models (Claude, GPT, Gemini) and the modern agent stack: MCP servers, agent SDKs, orchestration tools, browser and computer use, and evals. • Move fast: take a high-impact use case from concept to working solution in weeks, not quarters, and prove it with measurable results. • Think in systems and bias toward solving the problem, not toward building for its own sake. Sometimes the right answer is a custom agent; sometimes it's configuring an existing tool. • Partner with business leaders to be accountable for outcomes, and help them rethink how their teams operate in an AI-first way. • Call balls and strikes: pressure-test whether a problem is worth automating, what "good" looks like, and how to measure ROI. • Help set the bar for AI across the company, including tool evaluation, security and InfoSec coordination, governance, and best practices. • Spread the practice: document and showcase wins, coach colleagues, and help build a company culture that automates by default. **What We're Looking For** • 3+ years of experience in applied AI or software engineering, including time at a startup or fast-growing company where you shipped AI-powered products or automations to real users. • A track record of building and deploying custom agents or agentic workflows with frontier LLMs that solved real business problems, not just prototypes. • Fluency with the modern AI stack: LLM APIs, MCP, agent frameworks (Claude Agent SDK, OpenAI Agents SDK, LangGraph, or similar), prompt engineering, RAG, and evaluation methods. • Strong coding skills (Python preferred) and the judgment to pick the right tool for the job, including buying or configuring instead of building. • Comfort operating independently in ambiguity, with a high bar for speed, ownership, and follow-through. • A strategic mindset paired with a "get it done" attitude; you can tell the difference between a cool demo and a business outcome. • Excellent written and verbal communication, with the ability to earn trust and drive change with senior business leaders. • Bachelor's degree in Computer Science, AI/ML, Software Engineering, or a related field preferred; equivalent practical experience welcome. • Bonus points if you're a fan of sports, collectibles, or fandom culture (because we're a little obsessed). **Why You'll Love It Here** • Real ownership of high-visibility problems, with exposure to every part of Fanatics and direct access to senior leadership. • A chance to be part of a small, hand-picked team shaping how a global sports and collectibles company becomes AI-first. • Backing for your work: dedicated headcount, budget, and executive sponsorship to get things done. • Competitive salary and comprehensive medical, dental, and vision coverage. • 401(k) plan with company match. • Generous paid time off, paid holidays, and parental leave. • Wellness benefits and a learning & development stipend. • NYC office with daily in-person collaboration. • Employee discount on Fanatics products and (yes) some sweet Fanatics swag. **Final Word** If you've built AI that moved a business and you're ready to do it at global scale, let's talk. This is where the doers build. The salary range represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $150,000—$200,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. *Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it * *here* *.* [View posting at Fanatics](https://job-boards.greenhouse.io/fanaticsinc/jobs/4457595009) ## About Fanatics Fanatics connects sports fans with licensed merchandise, collectibles, betting and gaming, live events, and sports entertainment. Late-stage private · 5000+ people ## Similar jobs [Pagaya Investments](https://nextmove.md/fde/companies/pagaya-investments) ### [Senior Applied AI Engineer](https://nextmove.md/fde/jobs/18e45a53bb6a559f) New York, NY 2mo ago $165,000–$205,000 [Newform](https://nextmove.md/fde/companies/newform) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/e56f9470663062cf) New York, NY Hybrid 5mo ago $120,000–$200,000 [Generation Next Fertility](https://nextmove.md/fde/companies/generation-next-fertility) ### [Lead Clinical Automation & AI Systems Engineer](https://nextmove.md/fde/jobs/b8b31c9940995d7b) New York, NY Hybrid 2w ago $150,000–$200,000 [Iterative Health](https://nextmove.md/fde/companies/iterative-health) ### [Forward Deployed Product Manager – AI](https://nextmove.md/fde/jobs/b529cbe1e1722451) New York, NY · Boston, MA Hybrid 4mo ago $170,000–$250,000 [CookUnity](https://nextmove.md/fde/companies/cookunity) ### [AI Native Engineer](https://nextmove.md/fde/jobs/a2fbee5e02877edc) New York, NY 5mo ago $130,000–$190,000 - [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior) - [Similar jobs in New York metro](https://nextmove.md/fde/jobs?region=nyc-metro) - [Similar jobs that build for teams inside the company](https://nextmove.md/fde/jobs?role=internal-deployment) Hiring at Fanatics and want this page changed or removed? 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