> Markdown version of [/jobs/ext/4360375-ai-deployment-lead](https://www.wearedevelopers.com/jobs/ext/4360375-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:** Brain Corporation - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Production Code - **Published:** October 2, 2026 - **Apply:** https://www.dice.com/job-detail/0600f5cd-cd97-4b9f-889b-788af93cb320 ## About the Role * 7+ years of experience leading complex, senior-stakeholder client programs-enterprise deployment leadership, AI / ML deployment, complex implementation, or program leadership at a high-growth software company, or comparable client-facing program leadership. * Demonstrated experience taking an AI/ML, data, or other complex technical product from ambiguous problem framing through production use and adoption. * Technical fluency in AI/ML and enterprise systems: you can map workflows and data, reason about integrations, evaluations, model behavior, security and production constraints, and pressure-test a delivery plan with engineers. You do not need to write production code. * A rigorous operating toolkit: structured problem-solving, hypothesis-driven workplans, synthesis under ambiguity, managing a team and a client at the same time, and the confidence to deliver hard messages early and constructively. * Demonstrated senior-client leadership-you've been the trusted day-to-day counterpart to executives and can build that trust quickly with elected officials, agency heads, and career public servants alike. * Product instinct: you can distinguish a configuration request from a product insight, and you've worked closely enough with product/engineering teams to speak their language and earn their trust. * Builder's temperament: you'd rather create the playbook than inherit one, and you can hold high standards while shipping imperfect v1s of process. * Clear, decision-oriented communication across technical, operational, and executive audiences. * Comfort with 30-50% travel and genuine enthusiasm for working inside government buildings with the people who run them. Nice to Haves * Public-sector delivery experience (govtech or civic tech). * Familiarity with government procurement, security reviews, and contracting norms. * Experience deploying AI/ML products. * Experience hiring and managing delivery teams. ## Description * Lead 2-4 of Brain Co.'s most complex government deployments personally while overseeing the broader portfolio as the team grows. * Engage before close to de-risk delivery: shape scope, success criteria, stakeholder maps, resourcing, data and integration dependencies, acceptance criteria, and a workplan the customer's executive sponsor has bought into before kickoff. * Translate agency workflows and desired outcomes into an MVP, technical requirements, sequencing decisions, and a delivery roadmap that Product and Engineering can execute. * Define a value case and learning agenda for each deployment and product line, including impact hypotheses, baselines, adoption measures, and success KPIs. * Run multi-workstream delivery with rigor: clear owners, milestones, dependencies, weekly operating cadence, crisp status synthesis, and early, honest escalation. * Protect the critical path by surfacing risks early, making clear scope/speed/quality trade-offs, and leading decision-ready executive readouts. * Drive adoption and change management, including stakeholder onboarding, training, operating-model changes, and sustained use after go-live. * Build durable relationships with mayors, city managers, CIOs, agency heads, program leaders, and frontline users, so issues surface early and Brain Co. becomes a trusted operating partner. * Turn field evidence into reusable product capabilities, evaluation patterns, playbooks, templates, and staffing models that shorten time to value on future deployments. * Run the deployment reviews and product-feedback cadence that converts customer signal into clear roadmap decisions. * Partner with sales team on renewal and expansion by translating proven deployment outcomes into the next highest-value use case, without losing scope discipline. * Navigate the security, procurement, legal, compliance, and systems-of-record constraints that come with public-sector deployments. * Hire, develop, and manage deployment leads as volume grows, setting the bar for what great looks like by doing it first.