> Markdown version of [/jobs/ext/3754783-engineering-manager-ai-platform](https://www.wearedevelopers.com/jobs/ext/3754783-engineering-manager-ai-platform). 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). --- # Engineering Manager - AI Platform - **Company:** Governmentjobs.Com, Inc. - **Location:** Ontario, CA, United States (Remote available) - **Contract:** Permanent contract - **Skills:** .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Software as a Service, Cloud Engineering, Continuous Integration, Distributed Systems, Monitoring of Systems, Python (Programming Language), Search Technologies, Systems Integration, AWS Cdk, Retrieval-Augmented Generation, Large Language Models, Snowflake, Multi-Agent Systems, Backend, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, AI Platforms, LangSmith, Data Management, Machine Learning Operations, Api Design, Terraform, OpenSearch, Databricks, Microservices, Agent2Agent Protocol - **Published:** October 15, 2026 - **Apply:** https://www.dice.com/job-detail/4b345eb1-55d5-48d0-a993-fa1603cf42f6 ## About the Role * 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). ## Description * 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. What You Will do * 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.