AI Engineer, Internal Enablement & Productivity

Company Description Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed. Job Description We are seeking an experienced AI Engineer to join our AI Enablement team, focused on rapidly increasing internal employee productivity and operational efficiency across the company by scaling robust AI integrations and agentic workflows. This role will be central to designing and deploying agents to handle complex, end-to-end tasks, driving measurable improvements in how our core teams (e.g., Product, Engineering, Operations, and Customer Success) work. This strategic and execution-focused role will lead our internal AI Enablement roadmap, initially focusing deeply on improving core departments (e.g., Sales, Marketing, Product, Engineering, Operations, and Customer Success) through agentic automation. You'll leverage best-in-class AI tools and [... source excerpt omitted ...] routing, and tool orchestration This role is a full-time position located out of our office in Arlington, VA or Pittsburgh, PA. This role may require up to 25% travel. Scope of Responsibilities Designs and builds multi-agent systems with tool use, memory, routing, and planning to automate internal business processes and enhance employee capabilities. Develops Agent Skills and tools as modular, composable services that interact with backend systems, models, and data processing to increase internal team velocity. Contribute to the technical architecture and engineering standards for internal agentic systems, ensuring scalability, reliability, and maintainability across the organiz [... source excerpt omitted ...] s to identify and implement AI-driven solutions to optimize their workflows and reduce operational costs. How We Define Success (Key Metrics)Internal Team Enablement (Operations, Customer Success, Engineering) Operational Cost Savings: Reduce operational expenses for targeted teams through workflow automation via AI agents. Employee Productivity: Achieve measurable increases in internal team capacity and velocity through AI-driven workflows and tools. Internal Adoption Rate: Achieve a high adoption rate of new AI agents and enablement tools within key departments within the first 90 days. Accelerated Development: Reduce feature development timelines through AI-assisted codin