# Engineering Manager, AI Platform

**Company:** [Vannevar](https://hotfix.jobs/companies/vannevar)
**Location:** Remote
**Role:** Engineering Management
**Experience:** 8+ years
**Skills:** Machine Learning, Agentic AI, Python, Postgres, AWS, Distributed Systems, Workflow Orchestration, LangGraph, Temporal, Agno, Ml Platforms, Data Pipelines, Model Evaluation, Observability, Retrieval Systems
**Posted:** 2026-08-10

> Leads the AI Platform organization, owning machine-learning infrastructure and agent runtime capabilities used across product and mission teams. Requires engineering management experience, deep hands-on machine learning expertise, production agentic AI experience, and proficiency with Python, relational databases, cloud services, and distributed systems.

## Job Description

## Responsibilities

- Lead the AI Platform organization, setting technical direction, operating model, and roadmap for enrichments and the agents platform.
- Build standard pipelines, shared services, and operational patterns for reliable, efficient data and model enrichments.
- Scale durable agent execution capabilities, including orchestration, state and workflow management, reliability, observability, evaluation, and quality controls.
- Define interfaces, reusable primitives, and engineering practices that enable product teams to build AI-enabled capabilities.
- Establish measurement, testing, evaluation, and feedback-loop practices that improve agent correctness, safety, and usefulness in production.
- Partner with Product, Design, Mission, Security, and Infrastructure teams to prioritize platform investments and deliver outcomes.
- Balance velocity, reliability, security, and operational risk for AI systems supporting real-world missions.
- Recruit, mentor, and develop engineers and engineering leaders.

## Requirements

- 3+ years of experience as an engineering manager, including leading, coaching, and building software engineering teams.
- 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 teams that build workflow, data, ML, or service platforms with strong operational standards.
- Ability to balance speed, reliability, security, and mission impact while leading through ambiguity.
- Strong prioritization, execution, communication, cross-functional leadership, and project ownership skills.
- Data-driven decision-making skills.
- 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.

## Nice to Have

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

## Compensation and Benefits

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

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