[Remote] Engineering Manager, AI Platform

Note: The job is a remote job and is open to candidates in USA. Vannevar is a defense technology company building AI to deter our adversaries. They are seeking a Senior Engineering Manager to lead the AI Platform organization, responsible for developing a robust platform that enables product teams to efficiently build and operate AI-powered capabilities.

Responsibilities

• Lead the AI Platform organization: Set the technical direction, operating model, and roadmap for the teams responsible for enrichments and the agents platform
• Build the enrichments foundation: Own the standard pipelines, shared services, and operational patterns used to run data and model enrichments reliably and efficiently across Vannevar products
• Scale the agents runtime: Lead the development of durable agent execution capabilities, including orchestration, state and workflow management, reliability, observability, evaluation, and quality controls
• Define platform standards: Establish clear interfaces, reusable primitives, and engineering practices that enable product teams to build AI-enabled capabilities without reinventing foundational infrastructure
• Raise the quality bar: Develop measurement, testing, evaluation, and feedback-loop practices that improve the correctness, safety, and usefulness of agent behavior in production
• Drive cross-functional execution: Partner with Product, Design, Mission, Security, and Infrastructure teams to prioritize platform investments and deliver high-impact outcomes
• Balance velocity and reliability: Make pragmatic decisions about where to standardize, where to iterate, and how to manage the operational risks of AI systems supporting real-world missions
• Grow a high-performing team: Recruit, mentor, and develop engineers and engineering leaders; foster a culture of ownership, technical excellence, customer empathy, and mission impact

Skills

• 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
• 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

Company Overview