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AI Development Advocate

Job in Birmingham, Jefferson County, Alabama, 35275, USA
Listing for: Moultrie
Full Time position
Listed on 2026-07-24
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Headquartered in Birmingham, Alabama, Moultrie () is the leader in game feeders and cellular camera innovation, building products used by hunters, property owners, and others for real-time remote monitoring.

We take pride in developing deep user understanding, obsessing about the details, and going the extra mile to show our users we love them. Moultrie is customer-driven – hardware, software, marketing, and customer success teams collaborate to deliver a quality user experience.

We are guided by the following principles: Customer Obsession.;
Excellence is the Standard.;
Bias for Action.;
Act Boldly.;
Deliver Results.;
Hire and Develop the Best.;
Be Curious and Learn.;
Win as a Team

AI Development Advocate

Role Overview

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 (Dev Rel) 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.

Key Responsibilities
  • 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.
Required Qualifications
  • 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…
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