> Markdown version of [/jobs/ext/1935583-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1935583-senior-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer - **Company:** IntelliGenesis LLC - **Location:** Reston, VA, United States - **Experience:** Expert - **Salary:** $215,000.0 - $245,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, C++ (Programming Language), Cloud Computing, CompTIA Security+, Cyber Security, Python (Programming Language), Machine Learning, Network Forensics, Ansible, Security Software, Software Deployment, Software Engineering, Cloud Platform System, Large Language Models, Generative AI, Tanzu, Kubernetes, Information Technology, Machine Learning Operations, Terraform, Cyber Warfare, Devsecops, Docker, Vmware - **Published:** August 5, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9075432/senior-ai-engineer ## About the Role * Must be a U.S. Citizen * Active TS/SCI Clearance and Polygraph required * 8+ years of experience in AI/ML engineering, software engineering, or related field * Bachelor's degree in Computer Science, Engineering, or related field * Strong experience deploying AI/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 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) ## Description IntelliGenesis is seeking a Senior AI Engineer to lead the design, development, and deployment of production-grade AI systems supporting mission-critical intelligence operations. This role focuses on transitioning AI/ML capabilities from concept to operational environments, including classified and resource-constrained settings. A day in the life includes 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 capabilities-not just research prototypes. The team dynamic is highly collaborative and mission-driven, consisting of AI 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. * 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 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 AI solutions and transition them into production systems * Ensure compliance with DoD Risk Management Framework (RMF) requirements ## Related Videos - [WebAssembly: The Next Frontier of Cloud Computing](https://www.wearedevelopers.com/videos/972-webassembly-the-next-frontier-of-cloud-computing) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [The Private AI Platform: Why Agentic Apps Need a Private Application Platform](https://www.wearedevelopers.com/videos/100162-the-private-ai-platform-why-agentic-apps-need-a-private-application-platform) - [Generating code with Angular schematics](https://www.wearedevelopers.com/videos/129-generating-code-with-angular-schematics) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)