Staff Software Engineer - AI/ML Platform

Fanatics Betting & Gaming; Redwood City (CA); On-site; USD 190,000 - 238,000; Full time

Job summary

Fanatics Commerce is seeking a Staff-level AI/ML Platform engineer to own the architecture of the AI control plane, including gateway, agent runtime, and retrieval systems. You will define standards, build the enterprise LLM gateway, and drive governance and cost oversight across complex AI tooling.

You will work hands-on with a team to ship the hardest parts, partnering with data scientists and engineers. This role demands deep systems design and a track record delivering scalable AI platforms.

Qualifications

• 8 to 12 years building production software, including 2+ years on AI/ML platform.
• Staff-level impact: system design across multiple services and teams.
• Strong python and FastAPI, plus Java/Go/Scala/TS basics and DevOps tooling.
• Experience with LLMs on Bedrock or Vertex and self-hosted options.

Responsibilities

• Own AI control plane architecture: gateway, agent runtime, registry, retrieval, evaluation, cost.
• Build enterprise LLM gateway with multi-provider routing, failover, caching, and self-hosted options.
• Develop MCP ecosystem on a managed runtime and governance tooling.
• Oversee retrieval layer and data platform, including embedding and indexing pipelines.
• Define governance, security, and cost attribution for enterprise AI tools.

Skills

Python

FastAPI

System design

Leadership

LLMs / AI

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

Terraform

Kubernetes

Airflow

PostgreSQL

Grafana

Prometheus

PyTorch

AWS Bedrock

Vertex AI

OpenSearch

vLLM

Job description

Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world’s most iconic sports properties.

At Fanatics, we bring our BOLD Leadership Principles to life every day - building championship teams, obsessing over fans, acting with entrepreneurial speed, and delivering with a determined and relentless mindset.

About the team

The AI/ML Platform pod builds Fanatics’ internal AI platform: the paved road for every teambuilding with LLMs, MCPs, and agents. Gateway, agent runtime, registry, retrieval, evaluation,
and cost analytics, all running on a petabyte-scale lakehouse with enterprise-grade governance. You’ll join a pod that owns this platform end to end. This is a Staff-level role, and a hands-on
one. You will choose the architecture, define the standards other teams build to, and stay in thecode, shipping the hardest parts yourself. The decisions you make are ones the organization
lives with for years.

Responsibilities

• Own the end-to-end architecture of the AI control plane: gateway, agent runtime,registry, retrieval, evaluation, and cost. Set technical direction, sequence the roadmap,and make the build-versus-buy calls.
• Build the enterprise LLM gateway: multi-provider routing, failover, caching, rate limiting,token optimization, and key management, with a path to self-hosted open-weightmodels where cost, latency, or data residency call for it.
• Build the Agent/MCP ecosystem on a managed runtime such as AWS BedrockAgentCore: enterprise systems exposed as governed tools over MCP, a control-planeregistry for discovery, ownership, versioning, and lifecycle, and a no-code path fromprototype to governed production agent, surfaced through a company-wide chat portal.
• Own the unified retrieval layer and the data platform behind it: the governed front doorplus the ingestion, chunking, embedding, and indexing pipelines and the vector and
  search backends that feed it, kept reproducible, observable, and quality-gated atpetabyte scale.
• Build the evaluation and feedback loop: offline evals, tracing, and regression gates inCI/CD, with production failures and user edits turning into new eval cases and root-cause attribution across prompts, retrieval, tools, and models.
• Own governance and cost: RBAC, agent identity, least-privilege access to enterprisedata, audit logging, use-case-level cost attribution, and the enterprise AI tool portfolio,standing up to finance, executive, and EU AI Act scrutiny.
• Raise the bar: set the engineering standards, mentor engineers, and represent thearchitecture and its trade-offs directly to senior leadership

Qualifications

• 8 to 12 years building production software, including 2+ years on AI/ML platform. Bachelor’s or Master’s in Computer Science, Engineering, or a related field.
• Staff-level impact: system design across multiple services, decisions that span teams,and platforms other engineers build on.
• Strong Python and FastAPI, plus one of Java, GoLang, Scala, or TypeScript. Hands-onwith Terraform, Kubernetes, Airflow, Postgres, Grafana, and Prometheus, and familiar
  enough with the AWS data science toolkit and libraries like PyTorch to partner crediblywith data scientists. Chat UI or internal developer portal work is welcome.
• Hands-on with LLMs and generative AI on Bedrock or Vertex: model routing, RAG, toolcalling, structured outputs, and context engineering. Agentic systems and MCP serverand client integrations. Agent runtimes such as AWS Bedrock AgentCore matter here,and because they are new we look for depth rather than years. Exposure to self-hostedserving with vLLM, SGLang, or llama.cpp is welcome.
• The data engineering behind retrieval: chunking, embedding, and indexing pipelines,vector or search backends such as OpenSearch, open lakehouse table formats, and aworking method for measuring retrieval quality.
• LLM evaluation and observability: eval dataset design, tracing, LLM-as-judge scoring,and regression testing, with tools such as Langfuse or Arize Phoenix.
• Security and governance for AI platforms: RBAC, OAuth2/OIDC, least privilege, costoptimization, and usage metering. Familiarity with governance systems like DataHuband semantic layers, and with administering enterprise AI tools such as ChatGPTEnterprise, Claude Enterprise, or Glean, is welcome.
• Writes clearly and holds the room with executives. Open-source contributions orpublished work in agentic AI or LLMOps is welcome

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

$190,000—$237,500 USD

At Fanatics, we operate with a BOLD mindset - We Build Championship Teams, we’re Obsessed with Fans, we embrace a Limitless Entrepreneurial Spirit, and we approach every challenge with a Determined and Relentless Mindset. If you’re ready to contribute to a dynamic, fast-paced environment that thrives on collaboration and growth, we want you to be part of our team.

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.

ABOUT THE TEAM

Fanatics Commerce is a leading designer, manufacturer, and seller of licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods. It operates a vertically-integrated platform of digital and physical capabilities for leading sports leagues, teams, colleges, and associations globally – as well as its flagship site, www.fanatics.com.

Fanatics Commerce has a broad range of online, sports venue, and vertical apparel partnerships worldwide, including comprehensive partnerships with leading leagues, teams, colleges, and sports organizations across the world—including the NFL, NBA, MLB, NHL, MLS, Formula 1, and Australian Football League (AFL); the Dallas Cowboys, Golden State Warriors, Paris Saint-Germain, Chelsea FC, and Tokyo Giants; the University of Notre Dame, University of Alabama, and University of Texas; the International Olympic Committee (IOC), England Rugby, and the Union of European Football Associations (UEFA).

Leadership Principles

• Build Championship Teams
• Obsessed with Fans
• Limitless Entrepreneurial Spirit
• Determined and Relentless Mindset

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