AI Solutions Engineer: Deploying Smart Workflows

Socket.dev

Ponte Vedra Beach (FL)

On-site

USD 120,000 - 180,000

Full time

4 days ago
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Job summary

Socket.dev seeks a Forward Deployed Engineer to implement AI-enabled workflows across PGA Tour departments, partnering with product, engineering, data science, privacy, cybersecurity, technology operations, and approved vendors.

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

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

  • 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.
  • 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.
  • 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.
  • Partner with product, engineering, data science, cybersecurity, privacy, technology operations, and vendor teams to ensure workflows meet PGA Tour standards.

Skills

Full-stack/backend
Python
JavaScript/TypeScript
REST APIs
Cloud services
Gen AI tools
Data pipelines
Communication
Problem solving
Independent work
Privacy & governance
AWS

Education

Bachelor’s degree in CS/IT/DS/Engineering

Tools

AWS

Job description

Socket.dev seeks a Forward Deployed Engineer to implement AI-enabled workflows across PGA Tour departments, partnering with product, engineering, data science, privacy, cybersecurity, technology operations, and approved vendors.

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

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