Engineering Manager - AI Platform

This role is remote from anywhere in the US or Canada.

For over 25 years, NEOGOV has been at the forefront of public-sector innovation, building technology that helps government and education organizations work smarter, move faster, and better serve their communities.

We are a team of cutting-edge technologists, operators, and problem-solvers with top-tier skills and a shared ambition: to build the most efficient operating model in Gov Tech. We combine deep public-sector expertise with modern SaaS practices, AI-enabled workflows, and a relentless focus on execution.

At our core, we are a people-first company. We empower our customers to support the public servants they employ, the communities they serve, and the talented teams that bring our platform to life.

Our solutions support the entire employee journey, from hire to retire. By transforming complex HR and compliance workflows into simple, intuitive experiences, we help public-sector organizations reduce friction, improve efficiency, and focus on what matters most: making a difference.

This posting is for an existing vacancy.

• Lead a small team to build Neo Gov's AI platform — the shared AI services, infrastructure, and tooling used across our public-sector SaaS products.
• Own the roadmap and delivery of GenAI, AI agents, RAG, and intelligent automation into products used by governments and public agencies.
• Partner with Product, Data, Infrastructure, and Security to ship securely, compliantly, and at scale.

• Lead the team— hire, coach, and grow a small team of AI/ML and platform engineers.
• Own delivery— turn the AI strategy into a prioritized roadmap and ship it.
• Build the platform— GenAI services, agents and orchestration, multi-agent (A2A), MCP integrations, RAG, semantic search, tool calling, and workflow automation, packaged as reusable services.
• Set standards— define patterns, golden paths, and shared frameworks other teams build on.
• Modernize— microservices, event-driven, API-first, IaC, and CI/CD across .NET, Python, and cloud-native.
• Own governance & safety— evals, guardrails, tracing, hallucination and PII protection, and human-in-the-loop workflows.
• Stay hands-on— design reviews, prototyping, and unblocking the team.

• 6–8 years engineering, with 1–2 years leading as a manager or tech lead — open to a strong senior/staff engineer stepping into their first management role.
• Shipped shared/platform services other engineers build on.
• Hands-on with GenAI/LLMs, RAG, vector databases, and semantic search
  ; familiar with agents, A2A, MCP, and tool calling (or eager to go deep fast).
• Strong .NET and Python — APIs, backend, and AI services.
• Solid distributed systems, microservices, event-driven, and API-first foundations.
• IaC (Terraform or AWS CDK), containers, CI/CD, and cloud-native SaaS.
• Working knowledge of AI governance and safety practices.
• Strong communication and leadership across engineering, product, data, and security.

• Built AI platforms, internal AI tooling, or an AI Center of Excellence.
• Experience with agents, A2A, MCP servers, tool registries, agent memory, and observability.
• .NET modernization and Python AI services experience.
• Delivery in regulated or public-sector environments.
• Familiar with eval/monitoring tools (Langfuse, Lang Smith, MLflow, Phoenix) and data platforms (Open Search,

• Comprehensive Benefits package (medical, dental, vision, etc.) for full-time employees
• Generous PTO to support work-life balance
• Remote working opportunities
• 401K Matching
• Autonomy to grow and find your career path with supportive leadership
• 12-week Paid Parental Leave
• Inclusive and diverse environment

NEOGOV does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, protected military status, or other non-merit factors.

Our hiring process may include Artificial Intelligence (AI) screening for keywords and minimum qualifications. Recruiters review all results.