Engineering Manager, AI Platform

Vannevar Labs

Engineering Manager leading machine learning and agent platforms for Vannevar, a defense technology company building AI for national security. Scaling reliable AI infrastructure, agent execution, evaluation, and platform engineering teams.

Posted 8/10/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading engineering teams and developing AI platforms, with a strong focus on machine learning, orchestration, and operational reliability. Proven ability to balance multiple priorities while fostering cross-functional collaboration and data-driven decision making.

Highest-signal resume keywords

Engineering ManagementMachine Learning ExperienceAgentic AI Systems DevelopmentCross-Functional LeadershipData-Driven Decision Making

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningOrchestrationWorkflow ManagementQuality ControlReliability EngineeringEvaluation PracticesData EnrichmentPlatform DevelopmentAgent Execution CapabilitiesDistributed Systems

Soft Skills

Excellent CommunicationProject OwnershipMentoringCollaborationPrioritization

Tools & Technologies

PythonPostgreSQLAWSCloud ServicesWorkflow Engineering Patterns

Industry Keywords

AI PlatformAgentic SystemsOperational RiskData-Driven Decision MakingCross-Functional Teams

Tech Stack

Tools & technologies

AWSCloudPostgresPython

About the role

Key responsibilities & impact

Set the technical direction, operating model, and roadmap for the AI Platform organization
Own standard pipelines, shared services, and operational patterns for data and model enrichments
Lead development of durable agent execution capabilities, including orchestration, state and workflow management, reliability, observability, evaluation, and quality controls
Establish platform interfaces, reusable primitives, and engineering practices for product teams
Develop measurement, testing, evaluation, and feedback-loop practices for agent behavior
Partner with Product, Design, Mission, Security, and Infrastructure teams on platform investments and outcomes
Balance velocity, standardization, iteration, reliability, security, and operational risk
Recruit, mentor, and develop engineers and engineering leaders

Requirements

What you’ll need

3+ years of experience as an engineering manager
5+ years of hands-on machine learning experience
2+ years building agentic AI systems in production
Experience building or operating platforms used by multiple internal product or engineering teams
Deep familiarity with production AI/ML or agentic systems, including orchestration, evaluation, observability, quality, reliability, and cost
Experience leading workflow, data, ML, or service platform teams
Ability to balance speed, reliability, security, and mission impact
Ability to manage multiple priorities across teams, stakeholders, and product surfaces
Track record of data-driven decision making
Excellent communication, cross-functional leadership, and project ownership
Proficiency with Python, PostgreSQL or other relational databases, AWS or other cloud services, and 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

Benefits

Comp & perks

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