Engineering Manager, AI Platform
New
V
Vannevar LabsDefense Technology
RemoteFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- 3+ years of experience as an engineering manager; 5+ years of hands-on machine learning experience; 2+ years building agentic AI systems in production
- Required Skills
- AWSPostgreSQLPythonMachine LearningDistributed Systems
Requirements
- 3+ years of experience as an engineering manager leading, coaching, and building software teams.
- 5+ years of hands-on machine learning experience.
- 2+ years building agentic AI systems in production.
- Experience building or operating platforms used by internal product or engineering teams.
- Deep familiarity with AI/ML and agentic systems, including orchestration, evaluation, observability, and reliability.
- Experience leading teams that build workflow, data, ML, or service platforms.
- Ability to lead through ambiguity and balance speed, reliability, and security.
- Track record of data-driven decision-making.
- Excellent communication and cross-functional leadership skills.
- Proficiency with Python, PostgreSQL or other relational databases, AWS or other cloud services.
- Experience with distributed-system and workflow-engineering patterns.
- Willingness to travel to offsites, team syncs, and customer sites.
Responsibilities
- Lead the AI Platform organization by setting technical direction, operating models, and roadmaps.
- Build the enrichments foundation by owning standard pipelines and shared services for data and model enrichment.
- Scale the agents runtime by leading development of durable execution, orchestration, and quality controls.
- Define platform standards, including interfaces and primitives, to enable product teams to ship AI-enabled workflows.
- Raise the quality bar by developing measurement, testing, and evaluation practices for agent behavior.
- Drive cross-functional execution by partnering with Product, Design, Mission, Security, and Infrastructure teams.
- Balance velocity and reliability by making pragmatic architectural and operational tradeoffs.
- Grow a high-performing team through recruitment, mentorship, and fostering a culture of technical excellence.
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