Lead Software Engineer driving AI adoption across Ad Technology at Disney. Responsible for scaling AI capabilities and leading technical initiatives with cross-team collaboration.
Responsibilities
Define reference designs and best practices for reusable AI agents, services, and webapps.
Provide technical guidance and code/design reviews for senior engineers.
Lead the design and development of agents, SDKs, and accelerators that support multiple teams.
Deliver APIs and frameworks that simplify integration with AI services and enterprise systems.
Develop high-quality APIs and SDKs that simplify adoption of AI capabilities by other engineering teams.
Establish standards for guardrails, evaluation, and observability of AI-driven workflows.
Partner with security and governance teams to ensure compliance and safe adoption.
Mentor engineers, share knowledge, and raise the overall technical bar.
Work with product, infra, and security leaders to accelerate AI adoption across Disney Ad Tech.
Requirements
Bachelor’s degree in Computer Science, Engineering, or related technical field (Master’s preferred), or equivalent experience.
7+ years of software engineering experience, with 1+ years in technical leadership roles.
Strong proficiency in Python and backend frameworks; experience building scalable APIs and SDKs.
Hands-on with LLM APIs (e.g., OpenAI, Anthropic, Claude) and orchestration frameworks (e.g., LangChain, LangGraph).
Experience integrating with enterprise AI services such as AWS Bedrock or Azure AI Foundry.
Strong knowledge of AI safety, governance, and evaluation practices.
Proven ability to mentor engineers and drive cross-team adoption of shared solutions.
Strong written and verbal communication skills; able to explain complex technical concepts to both engineers and non-technical stakeholders.
Experience conducting code reviews and enforcing best practices for maintainability, security, and performance.
Proven ability to mentor and coach engineers, providing feedback, guidance, and technical growth opportunities.
Experience with system design and architecture discussions, including trade-off analysis.
Demonstrated ability to collaborate across functions (infra, data, security, product) to align on shared solutions.
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
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