AI/ML Integration Architect

CGI Njoyn; Arlington (VA); On-site; USD 113,000 - 246,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive insurance options

401(k) matching

Paid time off

Paid parental leave

Tuition assistance

Wellness programs

Job summary

CGI is seeking an AI/ML Integration Specialist to support SAF/AQX and integrate AI capabilities into the enterprise toolset. Located in Arlington, VA, this role focuses on secure, mission-aligned AI adoption and technical coordination across teams.

The position requires a Master’s or Bachelor’s in Computer Science/Data Science, US citizenship, and an active Secret clearance, with credentials in AWS ML and TensorFlow. Occasional travel may be needed.

Qualifications

• Master's or bachelor's with equivalent experience in Computer Science or Data Science.
• US Citizenship and active Secret clearance is required.
• Solid knowledge of AWS ML services and TensorFlow is expected.

Responsibilities

• Provide technical analysis for AI technologies and their integration into DoW workflows.
• Evaluate AI tools for suitability and identify integration points within existing architectures.
• Draft roadmaps and document risks, interoperability, and resource needs for AI projects.
• Assist in data pipelines, data mapping, and schema alignment for AI readiness.
• Validate AI solutions against user workflows and mission objectives.

Education

Master's degree in Computer Science or Data Science

Bachelor's degree in Computer Science or Data Science

Tools

AWS Machine Learning Specialty

TensorFlow Developer Certification

Job description

CGI is seeking an AI/ML Integration Specialist to support SAF/AQX and integrate AI capabilities into the enterprise toolset. Located in Arlington, VA, this role focuses on secure, mission-aligned AI adoption and technical coordination across teams.

The position requires a Master’s or Bachelor’s in Computer Science/Data Science, US citizenship, and an active Secret clearance, with credentials in AWS ML and TensorFlow. Occasional travel may be needed.