AI & Machine Learning Systems Engineer

Role mandate

Build the capability for the era ahead.

This team member will combine subject-matter depth, sound judgment and disciplined execution to move the mission from architecture to measurable results.

Responsibilities

• Own the Galaxity AI workstream for AI & Machine Learning Systems Engineer and deliver measurable technical or operating outcomes.
• Build governed software, models or data pipelines for reliable enterprise and mission operations.
• Define testing, monitoring, security and human-approval controls for production deployment.
• Integrate algorithms with real operational data, infrastructure and decision workflows.

Required qualifications

• Hands-on experience delivering production software, machine-learning systems, embedded code or digital models.
• Strong skills in system design, testing, version control and technical documentation.
• Ability to work across data, infrastructure, security and domain-engineering teams.

Preferred experience

• Experience with autonomous agents, closed models, neural networks, real-time systems or hardware acceleration.
• Background in regulated, aerospace or high-availability environments.

The hiring sequence follows operating milestones and project requirements. This position may begin through advisory, consulting or project-based work before moving into a full-time role.