Senior Manager, AI & Machine Learning Engineering
Burbank, CA, USAAll locationsBurbank, CA, USAOrlando, FL, USASeattle, WA, USA On-site
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About the role
This role is the primary technical point of contact for finance stakeholders & cross-functional partners and is accountable for translating the platform roadmap into a shipped, governed, production-grade system. As the Senior Manager, AI & Machine Learning, you'll be setting architecture, reviewing design decisions, and staying hands-on enough to credibly evaluate trade-offs your team brings you. This role is also expected to be hands-on — stepping in on implementation, unblocking technical issues in real time, and reviewing code with the depth that comes from doing the work yourself, not just overseeing it.
What you'll bring
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- 10+ years of software and/or ML engineering leadership experience, with a strong track record of owning technical direction and architecture for complex systems end-to-end.
- Demonstrated experience architecting and shipping production LLM/AI applications — not just prototypes.
- Production experience with LLM application architecture — RAG pipelines, prompt engineering, and context/retrieval design at scale
- Working knowledge of LLM orchestration frameworks (e.g., LangChain, LlamaIndex, or equivalent) and vector databases/retrieval stores (e.g., Pinecone, Weaviate, pgvector, or Snowflake Cortex Search)
- Strong data modeling background
- Ability to read, write and review Python code
- Working knowledge of modern web/full-stack language or framework sufficient to guide UI-layer architecture decisions
- Familiarity with MLOps practices — model monitoring, retraining pipeline design, containerization, and CI/CD for ML systems
- Experience working across distributed, cross-timezone engineering teams, with the judgment to know what belongs in synchronous vs. asynchronous workflows.
- Comfort operating as the primary technical voice in front of senior business stakeholders — able to translate finance/business problems into technical scope, and technical trade-offs into business language.
- Bachelor's degree in Computer Science, Engineering, or related field