Senior Manager, AI & Machine Learning Engineering

The Walt Disney Company

. Build and run a global engineering team based in Buenos Aires, Argentina .

Posted 9/25/2026full-timeUnited StatesSenior💰 $197,600 - $291,500 per yearWebsite

Tech Stack

Tools & technologies

CognosERPOraclePython

About the role

Key responsibilities & impact

Build and run a global engineering team based in Buenos Aires, Argentina
Deliver the AI/ML layer, intelligent data foundation, software workflows/orchestration, and natural-language experience for Disney Financial Insights
Shape team structure, engineering practices, and technical architecture from an early-stage MVP
Serve as the primary technical contact for finance stakeholders and cross-functional partners
Translate the platform roadmap into a shipped, governed, production-grade system
Set architecture and technical strategy for the AI/ML and data layers
Act as the primary engineering liaison to finance business partners and leadership
Own the AI/LLM roadmap and build trust in AI-generated financial answers
Enforce role-based access control at the data model level
Establish practices for code review, testing, model evaluation, and release management across a geographically diverse team
Guide build-versus-integrate decisions involving SAP, Cognos, EPM, Data Marketplace, NetDocs, Coupa, and Clarity
Partner with finance transformation leads to drive enterprise adoption

Requirements

What you’ll need

10+ years of software and/or ML engineering leadership experience
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, including RAG pipelines, prompt engineering, and context/retrieval design at scale
Working knowledge of LLM orchestration frameworks such as LangChain or LlamaIndex, or equivalent
Working knowledge of vector databases/retrieval stores such as Pinecone, Weaviate, pgvector, or Snowflake Cortex Search
Strong data modeling background, ideally including semantic/governed data layers
Ability to read, write, and review Python code
Working knowledge of a modern web/full-stack language or framework
Familiarity with MLOps practices, including model monitoring, retraining pipeline design, containerization, and CI/CD for ML systems
Experience working across distributed, cross-timezone engineering teams
Ability to serve as the primary technical voice before senior business stakeholders and translate between business and technical language
Exposure to ERP/EPM platforms such as SAP, Oracle EPM, or Cognos, and/or experience integrating custom applications with enterprise system APIs
Experience evaluating third-party or consulting-delivered engineering work
Bachelor's degree in Computer Science, Engineering, or related field
Advanced degree is a plus but not required given equivalent experience

Benefits

Comp & perks

Bonus and/or long-term incentive units may be provided
Medical benefits
Financial benefits
Other benefits dependent on the level and position offered