AI Evangelist

Job Title: AI Evangelist

Location: St. Louis MO (Onsite)
Experience: 10 Years

Job Summary

We are seeking an experienced AI Evangelist to drive AI adoption across the Product Development Lifecycle (PDLC). This is a highly hands-on role focused on embedding with engineering and product teams to demonstrate practical AI usage establish repeatable best practices and accelerate AI-driven transformation across the enterprise.

The ideal candidate combines deep technical expertise with strong coaching enablement and change leadership capabilities.

Key Responsibilities

• Partner directly with engineering product QA and platform teams to apply AI in real-world workflows
• Coach teams on effective usage of generative AI tools automation frameworks and AI-assisted development practices
• Define and operationalize:
  • AI standards
  • Prompt engineering conventions
  • Reusable templates
  • Reference architectures
  • Best practices
• Build and deliver enablement assets including:
  • Playbooks
  • Workshops
  • Training programs
  • Hands-on coaching sessions
• Integrate AI capabilities into:
  • IDEs
  • CI/CD pipelines
  • Testing frameworks
  • Monitoring and operational platforms
• Drive rapid prototyping and proof-of-concepts to demonstrate business value
• Promote responsible AI practices including governance compliance security and ethical AI usage
• Establish metrics to measure AI impact on engineering productivity and product outcomes

Required Skills

• 10 years of experience in:
  • Software Development
  • Platform Engineering
  • Technology Consulting
  • DevOps Transformation
• Strong understanding of the full Product Development Lifecycle (PDLC)
• Deep knowledge of:
  • Generative AI tools
  • AI coding assistants
  • Automation frameworks
  • AI-enabled engineering practices
• Hands-on experience with tools such as:
  • GitHub Copilot
  • Claude
• Experience integrating AI into enterprise engineering workflows
• Strong understanding of:
  • Responsible AI
  • Security and governance
  • Model risk management
  • Compliance controls
• Excellent communication coaching and stakeholder influence skills
• Experience working in large regulated enterprise environments

Preferred Skills

• Experience leading enterprise AI adoption initiatives
• Exposure to DevOps SRE and platform engineering ecosystems
• Experience building reusable frameworks playbooks and enterprise standards
• Familiarity with engineering productivity metrics and AI impact measurement