Senior Super Intelligence (SI) Engineer

IntelliGenesis; Reston (VA); Vor Ort; USD 215.000 - 245.000; Vollzeit

Zusammenfassung

IntelliGenesis is seeking a Senior Super Intelligence Engineer to lead production-grade SI systems in mission-critical environments. You will architect scalable pipelines, deploy models to edge and cloud, and mentor engineers to deliver robust SI capabilities in DoD settings.

The role emphasizes secure AI deployment, DevSecOps, and collaboration with cyber operators, software, and infrastructure teams in an agile, mission-driven context.

Qualifikationen

• 8+ years of experience in SI/ML engineering, software engineering, or related field.
• Strong experience deploying SI/ML models into production environments.
• Active TS/SCI clearance with polygraph is required.

Aufgaben

• Lead end-to-end SI system design, development, and deployment.
• Architect and implement scalable MLOps pipelines for training, validation, and deployment.
• Deploy SI/ML models to cloud, on-prem, and edge environments.
• Integrate SI capabilities into cybersecurity tools and operational workflows.
• Ensure system security, including adversarial robustness and secure model deployment.
• Mentor mid-level engineers and provide technical oversight.
• Ensure compliance with RMF requirements.

Kenntnisse

SI/ML engineering

Software engineering

Python

Ausbildung

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Kubernetes

Docker

MLflow

Kubeflow

VMware

Tanzu

Jobbeschreibung

Citizenship Requirement: Must be a U.S. Citizen
Clearance Requirement: TS/SCI clearance with polygraph

Job Description

IntelliGenesis is seeking a Senior Super Intelligence (SI) Engineer to lead the design, development, and deployment of production-grade SI systems supporting mission-critical intelligence operations. This role focuses on transitioning SI/ML capabilities from concept to operational environments, including classified and resource-constrained settings.

A day in the life includes architecting scalable SI pipelines, deploying models to edge and cloud environments, integrating SI into cybersecurity workflows, and mentoring junior engineers. You will work closely with cyber operators, software engineers, and infrastructure teams to deliver impactful, real-world SI capabilities—not just research prototypes.

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

Responsibilities

• Lead end-to-end SI system design, development, and deployment
• Architect and implement scalable MLOps pipelines for training, validation, and deployment
• Deploy SI/ML models to cloud, on-prem, and edge environments
• Integrate SI capabilities into cybersecurity tools and operational 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 SI solutions and transition them into production systems
• Ensure compliance with DoD Risk Management Framework (RMF) requirements

Required Qualifications

• Must be a U.S. Citizen
• Active TS/SCI Clearance and Polygraph required
• 8+ years of experience in SI/ML engineering, software engineering, or related field
• Bachelor’s degree in Computer Science, Engineering, or related field
• Strong experience deploying SI/ML models into production environments
• Expertise in Python and at least one additional language (e.g., C++, Go)
• Experience with MLOps tools (e.g., Kubernetes, Docker, MLflow, Kubeflow, VMWare, Tanzu)
• 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)

Desired Qualifications

• Master's degree
• Experience with adversarial machine learning and SI 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 SI 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 Range

$215,000 - $245,000

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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, candidate’s 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.

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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 Company’s policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations is 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.