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Vantor

AI-powered multi-source geospatial intelligence platform

Agentic Engineering Lead

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeWestminster, CO, USA$135k - $180k /yr

About the Job

Requirements

  • Experience consistent with a Vantor T7/Principal technical leader: typically 15+ years with a bachelor's, 10+ years with a master's, 8+ years with a PhD, or equivalent experience.
  • Deep software engineering and architecture expertise, including modern software development lifecycle, automation, application programming interfaces, developer tooling, and systems integration.
  • Hands-on experience designing and building AI agents, agentic systems, or AI-enabled engineering workflows.
  • Strong understanding of large language models, context engineering, orchestration, evaluation, observability, guardrails, and human-in-the-loop patterns.
  • Demonstrated ability to establish technical direction and influence senior engineers, architects, and engineering leaders across an organization.

Responsibilities

  • Architect and build agentic workflows across the software development lifecycle and Engineering Operations.
  • Translate engineering standards, playbooks, governance, and systems of record into automated workflows, controls, and agents.
  • Implement the Engineering data architecture and systems-of-record model, including the integrations, context, and traceability required to support agentic workflows and trusted engineering data.
  • Define scalable patterns for agent architecture, context, human/agent handoffs, guardrails, evaluation, and observability.
  • Advise engineering teams on adapting and adopting the Agentic Software Development Lifecycle for their specific architectures, workflows, risks, and mission requirements.
  • Develop reusable agentic capabilities and patterns that can scale across Engineering.
  • Measure the adoption and effectiveness of agentic engineering capabilities and continuously improve them.

Desired Qualifications

  • Experience deploying production-grade agentic or autonomous engineering systems.
  • Experience integrating AI with engineering systems such as GitHub, Jira, continuous integration/continuous delivery, documentation, and observability platforms.
  • Experience driving adoption of new engineering practices across diverse teams.
  • Experience in aerospace, defense, mission-critical, or other high-assurance engineering environments.

About the Company

Vantor

AI-powered multi-source geospatial intelligence platform

Vantor provides an AI-powered spatial intelligence platform that creates a real-time, unified picture from space, air, and ground sensors. Its Tensorglobe data engine fuses satellite imagery, drone feeds, and ground sensors to build a living 3D digital Earth and automates the entire intelligence cycle from tasking to analysis. Key products include WorldView for high-resolution imagery tasking, Raptor for GPS-denied navigation, and Sentry for automated site monitoring. Unlike competitors that mainly sell raw imagery, Vantor offers an integrated, subscription-based geospatial workflow and digital twin as a service, helping defense, intelligence, and commercial customers make faster, more informed decisions through a shared AI-ready view of the world.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Juan, Puerto Rico
Founded
1957

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