Hiring: Engineering Manager - AI Platform Company: NEOGOV Location: United States Job Posted Time: 2026-09-17 10:00:26 Employment Type: Full-time / Remote Target Skills & Keywords : .NET, AI, AWS, CDK, CI/CD, Databricks, Event-Driven, IaC, LLM, MLflow, Microservices, OpenSearch, Phoenix, Python, RAG, SaaS, Snowflake, Terraform About the job Experience: •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. •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. •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. Required Skills: •Lead a small team to build NeoGov'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. Qualifications: •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. •Solid functional 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. •.NET modernization and Python AI services experience. Compensation: •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package •Comprehensive Benefits package (medical, dental, vision, etc Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!