below marketmost similar roles pay hereabove market
This role pays more than
93%
of similar roles. Most pay
$167,950–$246,150
— the blue band above.
At the midpoint, this role pays about
$294k
versus about
$207k
for comparable roles.
Based on 240 similar postings.
Employer
About Anduril Industries
Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.
Anduril Industries currently has
943 open roles
on FindRole.
Listed pay typically runs
$166,000–$220,000
across 911 roles with salary data.
JOB TITLE: AI & Agentic Platform
The Discovery team seeks an engineer to develop and validate agentic AI systems for defense applications. You will build test scenario simulation environments, reusable evaluation pipelines, and automated test harnesses to assess model performance on classified platforms and edge hardware. Your daily work involves defining actionable metrics, troubleshooting deployment issues, and architecting end-to-end validation infrastructure for machine learning models. You must possess a degree in a technical field and 8-10 years of experience writing production-grade Python code. Key skills include designing evaluation methodologies, simulation experience, and MLOps monitoring. This role addresses the critical challenge of moving AI models from research into reliable, real-world production environments for mission-critical systems. Candidates must hold a TS/SCI clearance and demonstrate systems-level thinking across complex codebases.
Develop comprehensive test scenarios and simulation environments to assess agentic AI performance in classified simulations.
Lead the integration and validation of agentic AI systems onto classified platforms and edge hardware.
Build reusable evaluation pipelines, automated test harnesses, and monitoring dashboards for continuous validation.
Define and establish systematic performance metrics for AI and traditional models to capture historic data.
Architect and maintain the end-to-end evaluation infrastructure for agentic AI and ML models.
Analyze and resolve issues uncovered during evaluation and deployment to ensure operational success.
Partner with cross-functional teams to define requirements and contribute to AI model cards and readiness reviews.
What we're looking for
Bachelor's or Master's degree in Computer Science, Machine Learning, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field.
At least 8-10 years of hands-on experience writing production-grade code with strong Python skills.
Demonstrated experience owning evaluation or automated testing for production ML or software systems.
Hands-on experience designing evaluation methodologies for AI or machine learning models.
Experience designing or working extensively with simulation environments to exercise model and system behavior.
Working knowledge of defining, capturing, and reasoning about performance metrics for AI and traditional models.
Must have a TS/SCI clearance.
Experience as an ML Test & Evaluation Engineer, SDET, Simulation Engineer, or Technical Program Manager for AI/ML (preferred).