Senior UX Operational Engineer
@ Harmattan AI

Hybrid
$170,000
Hybrid
Full Time
Posted 20 days ago

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Job Details

About Us

At Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. We drive rigorous engineering developments based on robotics and AI, and are on a steep growth trajectory. If you are interested in a highly technical environment and pushing boundaries, we would love to hear from you.

About The Role

As Senior UX Operational Engineer, you will lead the technical bridge between AI research and real-world mission deployment. You will ensure that advanced ML models are productionized, monitored, and interpretable for operators in high-stakes environments. You will architect the infrastructure that makes AI reliable by defining inference pipelines, MLOps standards, and monitoring frameworks that survive austere, contested conditions.

Responsibilities

  • Applied ML & Infrastructure: Translate research models into production-ready services with low-latency performance, architect ML pipelines for data ingestion, training, validation, deployment, and monitoring, and define model instrumentation for tracking drift, bias, and reliability in real-time.
  • MLOps Framework: Design scalable inference frameworks using tools such as MLflow, Kubeflow, Airflow, or equivalents, implement best practices for versioning, reproducibility, and compliance with ITAR and DoD constraints, and partner with backend and security teams to ensure robustness across on-prem and GovCloud environments.
  • Collaboration & Leadership: Work cross-functionally with Algorithm, Product, and UX teams to ensure AI outputs enhance operator decision-making, and mentor engineers while setting technical direction for Harmattan’s AI backbone.

Candidate Requirements

  • M.S. or Ph.D. in AI, Robotics, Applied Math, or related field.
  • 7–12 years in applied ML/MLOps roles with production-grade systems.
  • Deep understanding of model deployment at scale, ML pipeline orchestration, and monitoring tools.
  • Experience in defense, aerospace, autonomous systems, or mission-critical environments.
  • Systems thinker with technical rigor and operator-centered approach.
  • Eligible for U.S. DoD Security Clearance (Secret or above preferred).
  • 100% dedication to Harmattan AI’s mission and growth plans.

Location and Commitments

This is a full-time, permanent role based in Washington DC (on-site preferred). Compensation includes $170K-$200K salary, equity, and benefits with a start date in November 2025.

Key skills/competency

  • ML Deployment
  • MLOps
  • Infrastructure
  • Model Monitoring
  • AI Systems
  • UX Integration
  • Technical Leadership
  • Defense
  • Automation
  • Compliance

How to Get Hired at Harmattan AI

🎯 Tips for Getting Hired

  • Customize your resume: Highlight applied ML and MLOps achievements.
  • Research Harmattan AI: Understand their defense systems and innovations.
  • Showcase technical skills: Emphasize production-grade ML deployments.
  • Prepare for interviews: Be ready with real-world deployment scenarios.

📝 Interview Preparation Advice

Technical Preparation

Study ML deployment techniques.
Review MLflow and Kubeflow documentation.
Practice building low-latency pipelines.
Understand monitoring frameworks and compliance.

Behavioral Questions

Describe a challenging project.
Explain your leadership style.
Discuss cross-team collaboration.
Share decision-making examples.

Frequently Asked Questions