Lead AI / ML Engineer (TS/SCI)
Actively Hiring
Full-time Posted about 2 months ago
Responsibilities
- check_circle Technical Leadership & Architecture: Lead the design, prototyping, development, and operationalization of enterprise-wide AI/ML capabilities, with a particular focus on advanced generative AI and agentic artificial intelligence systems.
- check_circle Lifecycle Management (MLOps): Establish and maintain a secure, scalable, and standardized AI/ML Operations environment that handles the entire lifecycle from data curation and preparation through automated deployment and continuous model retraining.
- check_circle Compliance & Model Governance: Ensure all AI/ML models, training pipelines, and algorithms strictly meet the accreditation criteria mandated by the DIA Quality Assurance Framework (QAF) and relevant ethical AI directives (e.g., Memo U-23-0491/DI).
- check_circle Assurance & Validation: Lead model validation, adversarial robustness testing, explainability evaluations, and bias detection analysis to safeguard the integrity of intelligence capabilities.
- check_circle Cross-Functional Collaboration: Serve as the primary technical interface between data scientists, software engineers, DevSecOps teams, and mission analysts to translate complex technical architectures into analytic tradecraft solutions.
- check_circle Innovation & Research: Stay at the forefront of emerging AI breakthroughs (such as transformer architectures and complex reasoning agents) and formulate proactive recommendations to address complex national security challenges.
Basic qualifications
- Clearance: Must possess an active federal TS/SCI clearance.
- Education: An advanced degree (Master’s or PhD preferred) in Computer Science, Data Science, Mathematics, or a highly related technical field.
- Experience: Demonstrated senior-level experience leading end-to-end AI/ML implementation projects and engineering robust, secure AI operations (MLOps) infrastructure in federal or secure environments.
Preferred qualifications
- Years of Experience: 13+ years of specialized experience designing, developing, and embedding advanced neural networks or predictive statistical modeling into production software.
- Technical Domain Expertise: Proven experience with state-of-the-art transformer architectures, large language models (LLMs), reinforcement learning, and building complex agentic systems.
- DIA Framework Knowledge: Deep familiarity with DIA QAF compliance, model security verification, and the transition of pipelines into cloud-native Platform as a Service (PaaS) or containerized architectures (Kubernetes/OpenShift).
- Security & Adversarial Defence: Demonstrated experience implementing zero-trust concepts within data architectures and engineering defenses against model poisoning, membership inference, data exfiltration, or adversarial manipulation.
- Thought Leadership: Published peer-reviewed research or widely recognized technical contributions to the broader defense/intelligence AI/ML community.
- Real opportunity for career growth in an environment where your achievements will be celebrated
- Constant collaboration with numerous teams to ensure client success
- A team that respects and embraces your ideas and expertise
- Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
- A workplace dedicated to supporting and bettering public safety and government agencies
Benefits
- check_circle Very competitive salary based on qualifications and experience
- check_circle Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
- check_circle 401(k) with company match
- check_circle Travel & performance incentives
- check_circle 3 weeks paid time off (plus Federal Holidays)
- check_circle $5K annual training allowance
Tags & Focus Areas
Fulltime Ai Ai Engineer Machine Learning