You will be responsible for planning and leading research, development, and delivery related to advanced analytic data solutions, leveraging GenAI.
You will design, build, and operate intelligent agent systems that power largescale, data intensive applications.
This role focuses on architecting agentic workflows, integrating large language models (LLMs) with enterprise data platforms, and delivering production grade systems that reason, plan, and act across complex data environments.
This includes working with business and technology leaders to understand scope and requirements, business needs, and data from across the Disney company.
Other activities include planning, estimating, design, development, testing, production rollout, and sustainment activities.
You will also need to consult and collaborate with project team members, lead design reviews, do hands-on development, and communicate with colleagues and leaders.

Requirements

10+ years experience in technology roles, preferably in data engineering, software engineering, and/or architecture
Demonstrated experience working with a broad range of GenAI models, tools, and foundational concepts
Experience architecting multi-agent systems with orchestrator-driven delegation and agent-to-agent handoffs
Experience designing and building automated evaluation/scoring to reduce hallucinations and improve reliability at scale
Experience designing Retrieval-Augmented Generation (RAG) pipelines, including chunking strategies, vector databases and embedded model selection
Experience leveraging Knowledge Graphs and structured ontologies as semantic memory layers
Experience partnering with stakeholders to help define project scope based on technical capabilities and translate requirements into technical engineering tasks
Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes
Experience leading and deploying code using a source control product such as GitLab/GitHub and CI/CD pipelines.
Experience building and integrating RESTful APIs, function-calling interfaces, and Model Context Protocol (MCP) servers to equip agents with access to enterprise data, services, and real-time context
Experience with defining and estimating level-of-effort for engineering activities
Ability to communicate technical concepts and solutions to non-technical team members
Demonstrated expertise using SQL and Python
Proven ability to work collaboratively in a multi-team environment.

Benefits

A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

GenAIlarge language models (LLMs)multi-agent systemsautomated evaluationRetrieval-Augmented Generation (RAG)Knowledge GraphsSQLPythonRESTful APIsCI/CD pipelines

Soft Skills

communicationcollaborationleadershipplanningproblem-solvingstakeholder engagementdesign reviewtechnical translationhands-on developmentproject estimation