Senior AI Engineer

IntelliGenesisis 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 including classified and resource-constrained settings.

A day inthe lifeincludes architecting scalable AI pipelines deploying models to edge and cloud environments integrating AI into cybersecurity workflows and mentoring junior engineers. You will work closely with cyber operators software engineers and infrastructure teams to deliver impactful real-world AI capabilitiesnot just research prototypes.

The team dynamic is highly collaborative and mission-driven consisting of AI engineerscyber SMEs and platform engineers working in agile sprints. This role serves as a technical leader and mentor guiding best practices inMLOpsDevSecOps and secure AI deployment.

What Youll Do:

• Have a direct impact on national security and cyber operations
• Work oncutting-edgeAI systems infast pacedenvironments
• 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 scalableMLOpspipelines for training validation and deployment
• Deploy AI/ML models to cloud on-prem and edge environments
• Integrate AI capabilities intooperationaltools 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

• Must be a U.S. Citizen
• Active TS/SCI Clearance and Polygraphrequired
• 10 years of experience in AI/ML engineering software engineering or related field
• Bachelors degree in Computer Science Engineering or related field (Masterspreferred)
• Strong experience deploying AI/ML models into production environment
• Expertisein Python and at least oneadditionallanguage (e.g. C Go)
• Experience withMLOpstools (e.g. Kubernetes DockerMLflow Kubeflow)
• Experience with cloud and hybrid infrastructure (AWS Azure or DoD cloud environments)
• Knowledge ofDevSecOpsand 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)

• 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)

Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including but not limited to: level of position complexity of job responsibilities geographic location candidates scope of relevant work experience educational background certifications contract-specific affordability organizational requirements and alignment with local market data.

Our compensation includes other indirect financial components designed to support employees total well-being which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance life insurance disability paid time off maternity/paternity leave 401(k) company match training/education reimbursements and other work/life programs.

IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE) and as such does not tolerate discrimination retaliation or harassment of its employees or applicants based upon race color religion gender sexual orientation national origin age genetic information disability or any other protected characteristic under local state or federal law in any employment practice. Such employment practices include but are not limited to: hiring promotion demotion transfer recruitment or recruitment advertising selection disciplinary action layoff termination rates of pay or other forms of compensation and selection of training.

IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Companys policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the accordance with the Americans with Disabilities Act (ADA) as amended reasonable accommodations will be provided to qualified individuals with disabilities when such accommodations are necessary to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.