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