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The AI Development Advocate is a strategic, hands-on leader responsible for scaling AI-driven developer productivity across the organization. Serving as Moultrie's internal Developer Relations (DevRel) lead for AI, this role owns the end-to-end strategy and execution for transitioning our software development teams to an AI agent-first model. Think of it as an internal Developer Experience (DX) function: your customers are our engineers, and your success is measured by their productivity, confidence, and depth of AI adoption. Your mandate is to maximize AI impact at scale, from onboarding new teams to advancing the most experienced practitioners.

You will set the strategic direction for AI-assisted development at Moultrie while remaining deeply hands-on, building tools, running workshops, unblocking teams, and leading by example. This role bridges cutting-edge AI capabilities and practical software delivery, scaling enablement through a combination of direct support, structured programs, and an internal Champions community. Success here requires equal parts technical credibility, program discipline, and the ability to inspire engineers at every level to work in fundamentally new ways.

• Define and own the organization-wide strategy for AI agent-first development: setting direction, establishing adoption milestones, and driving a measurable, lasting shift in how developers design and ship software.
• Build and maintain internal tooling, reference implementations, and proof-of-concept workflows that demonstrate how AI agents can accelerate development tasks such as code generation, code review, testing, and documentation.
• Provide hands-on technical support to engineering teams encountering issues with AI tools, agent workflows, prompt engineering, or LLM integration; serving as the first point of escalation for AI-related blockers.
• Design and execute AI onboarding plans for engineering teams (including initial setup, role-specific training, and structured ramp programs) and provide ongoing guidance as AI development capabilities rapidly evolve.
• Build feedback loops between engineering teams and tech leadership, synthesizing adoption blockers, tool gaps, and team needs into actionable recommendations.
• Build and grow an internal AI Champions community by identifying and enabling enthusiastic early adopters within each team to serve as peer advocates, accelerate grassroots adoption, and scale enablement beyond what a single advocate can reach.
• Define and track AI adoption metrics across teams, measuring tool usage, productivity impact, and developer confidence over time.
• Partner with product and engineering leadership to identify high-value use cases for AI agent automation within the software development lifecycle (SDLC), from code generation and review to testing and deployment.
• Monitor the AI tool ecosystem and maintain awareness of the latest agentic frameworks, LLM capabilities, and developer tooling trends to ensure our teams remain current and competitive.
• Own AI governance and cost controls, establishing usage policies, license management, spend visibility, and guardrails that ensure responsible and cost-effective AI adoption across the engineering organization.

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
• 5+ years of hands-on software development experience, with a strong foundation in modern software engineering practices.
• Demonstrable hands-on experience using AI-assisted development tools (including GitHub Copilot) to improve personal and team productivity in a professional software development context.
• Proficiency in .NET, Java, or a similar language; comfortable writing, reviewing, and guiding production-quality code across engineering teams.
• Experience creating and delivering technical presentations, workshops, or training sessions to developer audiences.
• Experience with cloud platforms (AWS, Azure, or GCP) and integrating AI services into software pipelines and CI/CD workflows.

Preferred Qualifications

• Advanced experience with GitHub Copilot, including Copilot Chat, Copilot for CLI, and agent-mode workflows; familiarity with GitHub Copilot administration and license management.
• Familiarity with prompt engineering techniques and AI agent patterns as applied to developer productivity use cases (e.g., code generation, automated testing, documentation, code review).
• Prior experience in a Developer Relations (DevRel), Developer Experience (DX), technical enablement, or internal engineering advocacy role, with a track record of driving tool adoption and improving the developer experience at scale.
• Strong technical writing skills: able to produce internal documentation, how-to guides, and best-practice references that engineers will actually use.
• Demonstrated experience driving technology adoption and organizational change within engineering organizations.
• Ability to coach and mentor engineers at all levels on AI tooling, agentic patterns, and evolving best practices.

• Competitive salary commensurate with experience, with access to cutting-edge AI tooling and infrastructure.
• Full-time position with a front-row seat to our AI transformation across all engineering teams.
• Collaborative, cross-functional environment with high visibility to engineering leadership and direct impact on developer productivity.