> Markdown version of [/jobs/ext/3200095-ai-deployment-lead](https://www.wearedevelopers.com/jobs/ext/3200095-ai-deployment-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Deployment Lead - **Company:** CONVERGENZ - **Location:** McLean, VA, United States - **Experience:** Expert - **Salary:** $86,800.0 - $198,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software Deployment, Large Language Models, Multi-Agent Systems, Prompt Engineering, Zapier - **Published:** September 2, 2026 - **Apply:** https://www.careerjet.com/job/us558b9fa4a2fb21c38dd9ac96ab078833/eaa ## About the Role * Bachelor's degree or equivalent practical experience. * 5+ years of experience in a customer-facing technical role such as product management or product operations, technical account management, solutions engineering--with an instinct for prioritizing feedback and translating it into requirements. * solutions engineering, technical account management, sales engineering, or forward deployed work. * Proven experience in high-velocity environments (tech startups and/or large-scale industry roles) where you owned a customer or stakeholder relationship end to end. * Hands-on experience building with modern LLM tools, including prompt engineering and agent or workflow construction. * Demonstrated ability to train non-technical audiences on technical tools. * Excellent active listener with a low ego and collaborative approach, comfortable being the person who listens more than they talk in a room. * High agency, with the ability to navigate ambiguity and figure out the next right step without a lot of direction. * Genuinely customer-obsessed, with real curiosity about how people actually work, not just what they say they need. * Background in product management or product operations, with an instinct for prioritizing feedback and translating it into requirements. * A track record of driving adoption of a new tool or process across a busy organization. Preferred Qualifications: * Experience with agent frameworks or workflow builders (LangChain, CrewAI, low-code tools like Zapier or Make, or similar). * Experience with or strong familiarity with Model Context Protocol (MCP) or similar protocols. ## Description This role is ideal for someone who has worked directly with customers or internal teams in high-velocity environments (startups and/or big tech), listens more than they talk, and wants to apply practical AI across an enterprise. You'll do this while helping teams understand our capabilities and limits within the constraints of our mission and the broader federal environment (privacy, security, safety, and responsible use by default). Key Job Responsibilities: * Work directly with program teams to identify high-value workflows, and build working prompt structures, agent chains, and templates that solve real problems * Build a reusable library of prompt patterns, agent templates, and playbooks other teams can pick up directly Drive adoption through training and hands-on delivery: * Run onboarding sessions, office hours, and team-specific training tailored to how different groups work * Grow a network of power users and champions across program teams Own the feedback loop back to product, engineering, and design: * Sit in on real workflows, gather what's working and what's broken, and turn it into clear, prioritized input for the team * Translate ambiguous requests into specific product requirements Measure and report on adoption: * Track usage, training completion, and workflow adoption across the agency * Build a clear view of where adoption is working and where it needs attention, and bring it to leadership regularly Drive engineering excellence and startup-like execution: * Establish and improve training materials, playbooks, and best practices as our capabilities evolve ## Related Videos - [HR ROBO SAPIENS: Decoding AI Agents and Workflow Automation for Modern Recruitment](https://www.wearedevelopers.com/videos/1470-hr-robo-sapiens-decoding-ai-agents-and-workflow-automation-for-modern-recruitment) - [The Intent Engineer: Closing the Gap Between Business & Engineering - Manuel Klein](https://www.wearedevelopers.com/videos/1855-the-intent-engineer-closing-the-gap-between-business-engineering-manuel-klein) - [Charting the Journey to Continuous Deployment with a Value Stream Map](https://www.wearedevelopers.com/videos/142-charting-the-journey-to-continuous-deployment-with-a-value-stream-map) - [Prompt Engineering - an Art, a Science, or your next Job Title?](https://www.wearedevelopers.com/videos/1032-prompt-engineering-an-art-a-science-or-your-next-job-title) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [100 times more frequent deployments: How did we create a high performance team?](https://www.wearedevelopers.com/videos/1069-100-times-more-frequent-deployments-how-did-we-create-a-high-performance-team) ## Related Articles - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)