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IntelliGenesis
IntelliGenesis

60 Intelligenesis Software Engineer Jobs Hiring Near You

IntelliGenesis LLC

Senior AI Engineer

Reston, VA · On-site

$215K - $245K/yr

IntelliGenesis is seeking a Senior AI Engineer to lead the design, development, and deployment of ... You will work closely with cyber operators, software engineers, and infrastructure teams to deliver ...

IntelliGenesis

Senior AI Engineer

Annapolis Junction, MD · On-site

IntelliGenesis is seeking a Senior AI Engineer to lead the design, development, and deployment of ... You will work closely with cyber operators, software engineers, and infrastructure teams to deliver ...

IntelliGenesis LLC

Senior AI Engineer

Annapolis, MD · On-site

$175K - $220K/yr

IntelliGenesis is seeking a Senior AI Engineer to lead the design, development, and deployment of ... You will work closely with cyber operators, software engineers, and infrastructure teams to deliver ...

IntelliGenesis LLC

System Engineer Level 3

Annapolis, MD · On-site

$170K - $200K/yr

Partner closely with software engineering teams to streamline deployments, resolve pipeline ... IntelliGenesis is committed to providing equal opportunity to all employees and applicants for ...

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Infographic showing various Software Engineer job openings at Intelligenesis in the United States as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 100% Physical job distribution.

Senior AI Engineer

IntelliGenesis LLC®

Annapolis Junction, MD • On-site

$106K - $146K/yr

Full-time

Re-posted 23 days ago

Job description

Job Summary:
IntelliGenesis LLC is seeking a Senior AI Engineer to lead the design, development, and deployment of production-grade AI systems supporting mission-critical cyber and intelligence operations. This role focuses on transitioning AI/ML capabilities from concept to operational environments and involves architecting scalable AI pipelines and mentoring junior engineers.
Responsibilities:
• Have a direct impact on national security and cyber operations
• Work on cutting-edge AI systems in fast paced environments
• Opportunity to lead architecture and influence technical direction
• Hands-on role across the full AI lifecycle (design → deploy → scale)
• Strong alignment with DoD modernization and AI initiatives
• Lead end-to-end AI system design, development, and deployment
• Architect and implement scalable MLOps pipelines for training, validation, and deployment
• Deploy AI/ML models to cloud, on-prem, and edge environments
• Integrate AI capabilities into operational tools and workflows
• Ensure system security, including adversarial robustness and secure model deployment
• Collaborate with cross-functional teams (cyber, infrastructure, software engineering)
• Mentor mid-level engineers and provide technical oversight
• Rapidly prototype AI solutions and transition them into production systems
• Ensure compliance with DoD Risk Management Framework (RMF) requirements
Qualifications:
Required:
• Must be a U.S. Citizen
• Active TS/SCI Clearance and Polygraph required
• 10+ years of experience in AI/ML engineering, software engineering, or related field
• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred)
• Strong experience deploying AI/ML models into production environment
• Expertise in Python and at least one additional language (e.g., C++, Go)
• Experience with MLOps tools (e.g., Kubernetes, Docker, MLflow, Kubeflow)
• Experience with cloud and hybrid infrastructure (AWS, Azure, or DoD cloud environments)
• Knowledge of DevSecOps and infrastructure-as-code (e.g., Terraform, Ansible)
• Experience with model serving, monitoring, and lifecycle management
• Familiarity with cybersecurity concepts and secure system design
• Experience working in classified or regulated environments (DoD/IC preferred)
Preferred:
• Experience with adversarial machine learning and AI security
• Background in cyber operations or network traffic analysis
• Experience deploying models in edge or disconnected environments
• Familiarity with large language models (LLMs) and generative AI systems
• Knowledge of secure enclaves and confidential computing
• Prior experience supporting DoD or Intelligence Community missions
• Relevant certifications (e.g., AWS Certified Solutions Architect, Security+, CISSP)
Company:
IntelliGenesis delivers AI, cyber, data, and workforce capabilities for national security and high-consequence environments. Founded in 2007, the company is headquartered in Columbia, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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