Executive Director, Enterprise Agent Platform

Were looking for an exceptional technology leader and hands-on builder who wants to help redefine how a global entertainment company operates through AI.

This is an opportunity to build lead and scale Sony Pictures Entertainments enterprise AI agent ecosystem creating the platforms capabilities and engineering practices that will transform how work gets done across the business.

As Executive Director Enterprise Agent Platform reporting to the SVP Enterprise Intelligence Platform youll own one of the companys most exciting emerging technology capabilities. Youll define our enterprise agent platform strategy make critical technology decisions and build and lead a high-performing team who turn ambitious ideas into production-ready solutions.

This is a leadership role for someone who wants to build not just oversee. Youll remain deeply hands-on with the technology actively shaping architecture solving complex engineering challenges and working alongside your team to deliver results. Youll be expected to stay at the forefront of a rapidly evolving AI landscape continuously evaluating emerging technologies challenging conventional approaches and translating new possibilities into practical business solutions.

Youll work alongside leaders who value technical depth intellectual curiosity collaboration and a bias for action. Success requires someone who can move seamlessly between strategy and execution stay closely connected to the work happening across their own and partner teams and bring the technical credibility to influence decisions at every level.

WHAT YOULL OWN BUILD & SHAPE

Define and Evolve Our Enterprise AI Agent Strategy

• Own the strategy selection architecture and evolution of SPEs enterprise agent platforms. Youll evaluate emerging technologies make critical platform decisions and establish the engineering standards that enable AI agents to scale securely and effectively across the organization.
• Youll stay ahead of developments in agentic AI continuously assessing new platforms capabilities and approaches while ensuring our technology decisions position SPE for both immediate impact and long-term success.

Build Lead & Engineer Alongside a Team

• This is not a traditional leadership role where you set direction and delegate the technical work. Youll remain actively engaged in architecture engineering prototyping technical problem-solving and critical design decisions.
• Youll set a high engineering bar develop exceptional technical talent and create a culture of curiosity experimentation ownership and continuous improvement.

Turn Big Ideas Into Production Solutions Fast

• Youll take high-priority business opportunities from concept to production in weeks not quarters.
• Youll champion a builder-oriented approach that prioritizes speed simplicity and measurable results. By leveraging native platform capabilities connectors and reusable components rather than unnecessarily developing custom applications youll help the team deliver solutions faster and more efficiently.
• Youll know when to experiment when to make decisions and when to scale and balance urgency with the engineering discipline needed to build reliable enterprise-ready solutions.

Build the Foundation for Enterprise-Wide Scale

• Youll establish reusable architectures engineering patterns and a shared pattern library that make every new solution faster to deliver easier to maintain and more effective than the last.
• Youll also own the agent registry control plane and AgentOps capabilities including monitoring incident management lifecycle management and cost optimization. This will be to ensure a growing portfolio of enterprise AI agents remains secure observable reliable and accountable.

Stay Ahead of Technology and Connected to the Business

• This role will require you to operate at the forefront of a rapidly changing AI landscape bringing fresh thinking technical insights and emerging capabilities into SPE.
• Youll maintain a deep understanding of whats happening across your own engineering teams adjacent technology organizations and the broader AI ecosystem. Working closely with the AI and Data Platform Software Factory Forward Deployed Engineers and business technology teams youll connect technical innovation with enterprise priorities and identify opportunities to accelerate delivery and increase impact.
• Youll be expected to challenge assumptions share knowledge influence technical direction and help ensure SPE is making smart forward-looking technology decisions.

Drive Innovation That Delivers Measurable Business Impact

• Success wont be defined by the number of agents deployed or the sophistication of the technology alone. It will be measured by how effectively your team turns innovation into scalable solutions that make a real difference to the business.

RESPONSIBILITIES:

Agent delivery and business process optimization

• Partner directly with business teams to redesign how work gets done and deliver prioritized agent opportunities from idea to production in weeks not quarters.
• Select the enterprise agent platform that fits each use case and build on its existing primitives and structure rather than custom development.
• Stay hands-on designing building and reviewing solutions alongside the team.

Pattern library

• Build and maintain SPEs library of reusable process and agent patterns (reference designs templates configurations and testing approaches) so every solution is faster to deliver and easier to maintain than the last.
• Set the standard for how SPE builds agents.

Agent registry control plane and AgentOps

• Own engineering and operations for the agent portfolio: the agent registry and control plane monitoring incidents lifecycle and cost.
• Partner with Information Security on guardrails.
• Define and report on outcome metrics (adoption cycle time cost and business impact) for every production agent.

Team leadership

• Build lead and develop a high-performing team of agent architects a governance/AgentOps lead and agent builders.
• Own hiring coaching performance management and career development and grow the team as the agent portfolio expands.

Adoption and partnership

• Champion agent adoption and change across the business.

• Work with the AI and Data Platform Software Factory and Forward Deployed Engineers teams on shared capabilities and patterns and manage relationships with agent platform vendors and system integrators.

REQUIREMENTS:

• 10 years in software or platform engineering including 5 years leading engineering teams

• Shipped and operated production AI agents on at least one enterprise agent platforms by configuring and extending platform capabilities not by building custom applications from scratch

• Bachelors degree in Computer Science Engineering or a related field or equivalent practical experience

• Proven track record of building reusable maintainable patterns that other teams adopt and the judgment to know when platform primitives are enough and when custom engineering is truly needed

• Track record of delivering measurable business outcomes and driving adoption of new ways of working

• Experience meeting enterprise security governance and data-handling requirements when shipping AI to production; media entertainment or rights-sensitive industry experience preferred

• Moderate to advanced experience working with and/or managing MOST of the following:
  • Enterprise Agent Platforms (platform-first delivery):
    • Low-code / no-code agent builders
    • Platform-native primitives (topics and actions flows connectors knowledge sources)
  • • Platform lifecycle management (environments solutions deployment pipelines)
  • • Agent control planes and admin centers
  • • Platform selection across vendors
  • Agent Engineering:
    • Tool and connector design MCP A2A
  • • Retrieval (RAG) and vector search
  • • Agent evaluation frameworks
  • • Prompt context and harness engineering
  • • Multiagent orchestration patterns
  • Governance and AgentOps:
    • Agent registry and lifecycle
  • • Identity and access for agents
  • • Observability and tracing
  • • AI cost management and FinOps
  • • Responsible AI and AI governance frameworks
  • Cloud and Engineering Foundations:
    • Cloud AI services and model gateways
  • • CI/CD and infrastructure as code
  • • API management and enterprise integration

LEADERSHIP COMPETENCIES:

• Hands-on player-coach comfortable building a team from scratch and moving fast
• Hands-on technical leadership
• Influencing without authority
• Strong vendor and partner management
• Clear communication with business and technology executives
  

Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race color religion sex national origin disability veteran status age sexual orientation gender identity or other protected characteristics.

SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law.

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