Engineering Manager - AI Platform

About the Department

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

Position Duties

• 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.
• 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.

Must-Haves

• 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. Nice to Have 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, LangSmith, MLflow, Phoenix) and data platforms (OpenSearch, Snowflake, Databricks).
• 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, LangSmith, MLflow, Phoenix) and data platforms (OpenSearch,
• Snowflake, Databricks).

Other Qualifications

• 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. #LI_REMOTE
• 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.
• #LI_REMOTE

Supplemental Questions