Principal AI Engineer: Multi-Agent Gen AI & Spatial Insights

MAXAR TECHNOLOGIES, INC.; Herndon (VA); Hybrid; USD 165,000 - 242,000; Full time

Benefits offered by this job

401(k) matching

Mental health resources

Student loan repayment assistance

Adoption reimbursement

Pet insurance

Job summary

Vantor is seeking an experienced software engineer to design, develop, and deploy AI-native geospatial analytics platforms at scale. You will implement multi-agent workflows and integrate leading LLMs to enable autonomous reasoning and adaptive decision-making.

You will work on robust data ingestion, secure cloud integrations, and DevOps practices to deliver reliable, production-grade AI systems. Collaboration across distributed teams is essential for success.

Qualifications

• Bachelors degree in Computer Science, Systems Engineering, Software Engineering, or a related field.
• Must be a U.S. Citizen.
• 7 years of proven experience in a relevant technology domain, with preference for Software engineer and AI/ML.
• Strong understanding of technical concepts related to managing cloud-based data and machine-learning pipelines (e.g., AWS or GCP).
• Significant software development experience with Python, JavaScript, or similar.

Responsibilities

• Design, develop, and deploy AI-native software products that transform large-scale geospatial data into actionable intelligence and mission-critical insights.
• Implement multi-agent workflows using modern orchestration frameworks to enable autonomous reasoning, planning, and execution.
• Engineer agents capable of dynamic tool use, structured reasoning, and iterative self-refinement to improve insight quality over time.

Skills

Python

JavaScript

Cloud-based data pipelines

AWS or GCP

Vector databases

Embeddings

RAG architectures

Distributed systems

AI-assisted development

Communication

Education

Bachelor's degree in Computer Science, Systems Engineering, Software Engineering, or a related field

Job description

Vantor is seeking an experienced software engineer to design, develop, and deploy AI-native geospatial analytics platforms at scale. You will implement multi-agent workflows and integrate leading LLMs to enable autonomous reasoning and adaptive decision-making.

You will work on robust data ingestion, secure cloud integrations, and DevOps practices to deliver reliable, production-grade AI systems. Collaboration across distributed teams is essential for success.