Staff AI Platform Architect - Hands-On Leader

Fanatics; Redwood City (CA); Presencial; USD 190.000 - 238.000; Jornada completa

Descripción de la vacante

Fanatics is seeking a Staff‑level AI/ML Platform Architect to own the end‑to‑end architecture of the AI control plane, including gateway, registry, retrieval, and evaluation. You will lead multi‑provider LLM gateway development and govern the MCP/agent ecosystem with a strong emphasis on security and cost control.

You will design scalable pipelines for retrieval, embedding, and indexing, while shaping CI/CD evals and observability.

Formación

• 8+ years building production software, including 2+ years on AI/ML platform.
• 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-on with Terraform, Kubernetes, Airflow, Postgres, Grafana, and Prometheus, and familiar enough with the AWS data science toolkit and libraries like PyTorch to partner credibly with data scientists.
• Hands-on with LLMs and generative AI on Bedrock or Vertex: model routing, RAG, tool calling, structured outputs, and context engineering.
• The data engineering behind retrieval: chunking, embedding, and indexing pipelines, vector or search backends such as OpenSearch, open lakehouse table formats, and a working 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, cost optimization, and usage metering.
• Writes clearly and holds the room with executives; open‑source contributions or published work in agentic AI or LLMOps is welcome.

Responsabilidades

• Own the end‑to‑end architecture of the AI control plane: gateway, agent runtime, registry, retrieval, evaluation, and cost.
• Build the enterprise LLM gateway: multi‑provider routing, failover, caching, rate limiting, token optimization, and key management.
• Build the Agent/MCP ecosystem on a managed runtime such as AWS BedrockAgentCore.
• Own the unified retrieval layer and the data platform behind it: the governed front door plus ingestion, chunking, embedding, and indexing pipelines.
• Build the evaluation and feedback loop: offline evals, tracing, and regression gates in CI/CD.
• Own governance and cost: RBAC, audit logging, and enterprise AI tool portfolio management.

Conocimientos

Python

FastAPI

Java

TypeScript

Terraform

Kubernetes

Airflow

Postgres

Grafana

Prometheus

LLMs / AI/ML platform

AWS Bedrock/Vertex exposure

Educación

Bachelor's or Master's in Computer Science, Engineering, or a related field or equivalent experience

Herramientas

Terraform

Kubernetes

Airflow

Postgres

Grafana

Prometheus

Descripción del empleo

Fanatics is seeking a Staff‑level AI/ML Platform Architect to own the end‑to‑end architecture of the AI control plane, including gateway, registry, retrieval, and evaluation. You will lead multi‑provider LLM gateway development and govern the MCP/agent ecosystem with a strong emphasis on security and cost control.

You will design scalable pipelines for retrieval, embedding, and indexing, while shaping CI/CD evals and observability.