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PGA TOUR

Forward Deployed Engineer

Ponte Vedra Beach, FL, US Mid Posted September 17, 2026

Role Description

The Best Players Need the Best People.

This role implements practical, AI-enabled workflows that increase productivity, reduce manual effort, improve speed, and deliver measurable business value across PGA Tour departments. Working closely with internal stakeholders including product teams, engineering, data science and AI COE, cybersecurity, privacy, technology operations, and approved vendors.

The Forward Deployed Engineer documents existing workflows, defines requirements, configures approved tools with the AI Governance Committee, and supports rollout of repeatable solutions that are secure, accurate, reliable, and easy for employees to use.

This is an implementation-focused role centered on assigned use cases and department-level workflow improvements. The engineer evaluates whether a business need can be met through existing enterprise platforms, configuration, integration, workflow redesign, or vendor capability, and will escalate larger product, roadmap, architecture, or custom-development decisions to AI leadership.Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or equivalent practical experience.
  • Minimum 5 years of experience in software engineering, systems integration, solutions engineering, technical implementation, AI-enabled solution delivery, or a related technical role.
  • Experience configuring, building, implementing, or integrating enterprise software platforms, API integrations, data pipelines, and custom AI/LLM-powered applications.
  • Strong full-stack or backend skills including Python, JavaScript or TypeScript, REST APIs, cloud services, and modern software implementation practices.
  • Familiarity with generative AI tools, LLMs, system prompt design, retrieval-based workflows, knowledge bases, AI agents, connectors, and related implementation patterns.
  • Experience documenting workflows, translating stakeholder needs into technical requirements, and evaluating practical implementation options.
  • Robust interpersonal and communication skills with the ability to explain technical concepts and tradeoffs to non-technical stakeholders.
  • Strong problem-solving and troubleshooting skills with the ability to work independently while collaborating with subject-matter experts as needed.
  • Familiarity with data privacy, cybersecurity, governance, responsible AI, and enterprise software approval processes preferred.
  • Experience with AWS or other cloud platforms preferred.
  • Sports, media, digital products, content operations, live event, or enterprise transformation experience preferred.

Responsibilities

Discovery & Requirements

  • Partner with assigned departments to document existing workflows, pain points, manual processes, and opportunities for AI-enabled improvement.
  • Translate stakeholder needs into clear requirements, workflow maps, acceptance criteria, and success measures.

Implementation

  • Configure and implement approved AI tools, connectors, skills, automation, and internal systems for department-specific workflows.
  • Build lightweight prototypes and proof-of-concepts to validate feasibility and demonstrate practical value.
  • Evaluate whether stakeholder needs can be met via existing platforms, configuration, integration, or vendor capability versus escalation to AI leadership.

Delivery & Support

  • Support rollout, user adoption, troubleshooting, and continuous improvement for implemented workflows.
  • Educate stakeholders and employees on using assigned AI-enabled tools and workflows effectively and responsibly.
  • Create and maintain documentation, implementation guides, workflow maps, and training/handoff materials.
  • Capture user feedback, recurring issues, adoption signals, efficiency gains, and operational risks for assigned use cases.
  • Perform system configuration, integration support, testing, and operational tasks to maintain assigned workflows.

Cross-Functional Partnership

  • Partner with product, engineering, data science, cybersecurity, privacy, technology operations, and vendor teams to ensure workflows meet PGA Tour standards.
  • Perform other duties and special projects as assigned.

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.

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