Engineering Manager, AI Platform

Role Description

Vannevar is building the future of national security enablement with agentic AI. Our platform tightens the loop from observation to action by giving warfighters cutting-edge analysis tools to make better decisions, faster.

We’re looking for a talented Senior Engineering Manager to lead our AI Platform organization. This team provides the durable, reusable foundation that product and mission teams use to build, operate, and improve AI-powered capabilities at Vannevar.

The AI Platform brings together two areas:

• Machine Learning platform: The standard pipelines and shared services that power reliable, scalable data and model enrichments.
• Agents platform: The runtime foundation for building and operating agents, with a focus on durable execution, observability, evaluation, quality, and safe, dependable operation at scale.

You’ll lead the team responsible for turning these capabilities into an integrated platform: one that makes it easy for product teams to ship AI-enabled workflows while maintaining the reliability, quality, security, and operational rigor required for national security missions.

This role is ideal for a technical, platform-minded engineering leader who has built depth in machine learning, applied that foundation to LLM product development, and can set platform strategy, develop strong engineers, and make sound architectural tradeoffs across data, ML, agent systems, and cloud infrastructure.

Qualifications

• 3+ years of experience as an engineering manager, with demonstrated ability to lead, coach, and build software engineering teams.
• 5+ years of hands-on machine learning experience and 2+ years building agentic AI systems in production.
• Experience building or operating platforms used by multiple internal product or engineering teams.
• Deep familiarity with AI/ML or agentic systems in production, including the practical challenges of orchestration, evaluation, observability, quality, reliability, and cost.
• Experience leading teams that build workflow, data, ML, or service platforms with high standards for operational excellence.
• Ability to lead through ambiguity, balancing speed, reliability, security, and mission impact.
• Ability to juggle multiple priorities across different teams, stakeholders, and product surfaces without losing focus on execution quality.
• Track record of data-driven decision making—argue with metrics, not gut feelings.
• Excellent communication skills, cross-functional leadership, and project ownership.
• Proficiency with Python, PostgreSQL or other relational databases, AWS or other cloud services, and modern distributed-system and workflow-engineering patterns.
• Willingness to travel to offsites, team syncs, and customer sites.
• U.S. Citizenship, required to access U.S.-only data systems.

Requirements

• Experience with agent frameworks and workflow orchestration systems such as LangGraph, Temporal, Agno, or similar tools.
• Experience with ML platforms, data pipelines, model evaluation, or retrieval and enrichment systems.
• Experience building secure, observable, and highly reliable systems in regulated or mission-critical environments.
• Active security clearance or ability/willingness to obtain one.
• Prior experience building software for defense, national security, or intelligence use cases.

Benefits

• Health, dental, and vision insurance.
• Remote friendly with WeWork access.
• Unlimited PTO, shared downtime during the federal holiday calendar, and company-wide off time at the end of each year.
• 401(k) match.
• Lifestyle & wellbeing stipends.
• Salary top-up during military reserve duty.
• Fully paid parental leave.
• Child and pet care reimbursement during travel.