Job Opportunities API

At DevSavant, we are a trusted technology partner specializing in Software Development, Data Engineering, AI/Machine Learning, Cloud Solutions, Automation Testing, and UI/UX Design. We deliver innovative, high-quality solutions with a focus on excellence and results. Our people are at the heart of everything we do, fostering a culture of growth and well-being. Join us and thrive in a supportive, success-driven environment. SUMMARY As AI CoE Program Lead, you'll report directly to the COO to run and scale our AI Center of Excellence (CoE). This isn't a greenfield build — the foundation is already in place: a live AI CoE Portal, a functioning AI Operating System, six rounds of company hackathons, and a 12-week cross-functional training program already underway. Your job is to take this from "early traction" to "default way of working" — driving adoption, tightening operations, and turning a hardworking group of part-time champions into a durable, scaled program. You'll be the connective tissue between DataOps and IT — who own the underlying infrastructure and data architecture — and the cross-functional CoE members who are driving adoption in their departments on top of their day jobs. You should be deeply fluent in AI yourself — comfortable deploying automations and agents, and genuinely energized by experimenting with new AI tools and techniques — while keeping the whole engine running smoothly, efficiently, and visibly delivering ROI. This is a deliberately hybrid role: equal parts hands-on AI builder and cross-functional program operator. We're looking for someone who can do both, even if not with equal depth on day one — strong AI chops are the harder thing to teach, so that's our primary bar. ROLES & RESPONSIBILITIES - Scale the CoE Operating Model: Take ownership of the day-to-day running of the AI CoE — coordinating cross-functional champions across CISO, IT, RevOps, and other departments, all of whom are contributing on top of full-time roles. Make their CoE time as efficient and high-leverage as possible. - Own the AI CoE Portal: Drive continuous improvement of the live Portal — the system of record for use-case intake, automation building, and governance. Manage the active pipeline of submitted use cases from idea to deployment. - Run the Training Program: Own development and delivery of ongoing training. - Formalize the Hackathon Cadence: Convert the hackathons-to-date into a repeatable quarterly playbook — sourcing ideas, structuring teams, judging, and converting winning projects into real workflows in the Portal pipeline. - Drive Self-Service Automation: Champion and operationalize the company-wide vision that every employee learns to build their own automations — whether that's a Claude prompt/project, an n8n workflow built in the Portal, or a full web app. Build the enablement materials and guardrails that make this realistic for non-technical employees. - Be the Coaching Backstop: Serve as the go-to point of contact for employee questions and troubleshooting when CoE champions aren't available — the person who unblocks someone stuck on their first automation. - Own the Complex & Cross-Functional Builds: Recognize when an automation is too complex, sensitive, or cross-functional for an individual employee (or even a department champion) to build alone, and take direct, hands-on ownership of those builds yourself. - Workflow Automation: Partner with department champions to identify manual, repetitive work and convert it into agentic, logic-based workflows (via n8n and the AI Operating System) that materially reduce manual effort. - AI Governance: Champion governance processes for AI assets, ensuring proper review and approval in GitHub per our SDLC, and keep the governance framework current as the CoE scales. - Hands-On AI Deployment: Personally design, build, and deploy automations and AI agents within the Portal pipeline — you're not just scoping use case