Al/ML Engineer Technical Lead - TS/SCI w Poly

Welcome page Returning candidate? Log back in! Al/ML Engineer Technical Lead - TS/SCI w Poly Job Locations US-MD-Laurel Requisition ID 2026-166729 Position Category Scientific, Research & Analysis Clearance Top Secret/SCI w/Poly Responsibilities Position OverviewWe are seeking a highly skilled AI/ML Engineer Technology Lead to design, development, and deployment of advanced Artificial Intelligence and Machine Learning solutions supporting mission-critical enterprise initiatives. This role serves as the technical lead for enterprise AI/ML efforts, responsible for building, growing, and guiding a team of AI/ML engineering and practitioners. This individual collaborates with customer technical leadership to define and realize their AI/ML roadmap and is expected to bring both deep technical expertise and the business acumen necessary to develop strategy, manage stakeholder relationships, and scale a high-performing team. The ideal candidate combines deep expertise in machine learning, software engineering, cloud-native technologies, and MLOps with strong leadership and customer engagement skills. This individual will help transform AI/ML prototypes into scalable, secure, production-ready enterprise solutions while mentoring technical teams and collaborating with customer leadership.Key Responsibilities – AI/ML Technical LeadershipTechnical Leadership & StrategyServe as the primary point of contact (POC) for all AI/ML-related technical matters with customers and stakeholdersLead the design, development, testing, deployment, and productization of AI/ML technologies supporting mission-critical objectivesDevelop and communicate AI/ML strategies and technical roadmaps aligned with customer and mission requirementsAdvise leadership on emerging AI/ML technologies, research areas, and industry advancementsRepresent AI/ML capabilities during customer engagements, briefings, demonstrations, and technical reviewsProvide technical leadership, mentorship, and guidance to AI/ML engineering teamsSupport workforce planning, staffing strategy, hiring, and professional development initiativesAI/ML Engineering & DevelopmentDesign, develop, and optimize scalable machine learning and deep learning models for structured and unstructured dataTransform research prototypes into secure, scalable, production-ready enterprise solutionsSupport NLP, predictive analytics, anomaly detection, computer vision, and generative AI initiativesEvaluate and productize AI/ML models across commercial and government cloud architecturesIntegrate AI/ML solutions across enterprise systems, data platforms, and operational environmentsEnsure AI/ML solutions meet performance, scalability, reliability, and operational requirementsCloud, MLOps & Enterprise IntegrationDevelop production-grade AI/ML pipelines, CI/CD workflows, and MLOps capabilitiesProvide system integration oversight across AI/ML pipelines and enterprise platformsCollaborate with software engineers, cloud architects, cybersecurity teams, and customer stakeholdersSupport deployment and optimization of AI/ML solutions across cloud-native and distributed environmentsEvaluate emerging technologies and align technical solutions with operational and enterprise objectives #MDFSP#peratonroyalmove Qualifications Core CompetenciesAI/ML Technical LeadershipCloud & Enterprise ArchitectureMLOps & Production AI SystemsTeam Building & MentorshipStrategic Problem SolvingMission-Focused InnovationCross-Functional Collaboration Required Qualifications 17 years with a Bachelor’s degree in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field, or 10 years with a Master's Degree in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field, or 7 years with a Ph.D in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical fieldStrong proficiency with Python and AI/ML frameworks such as TensorFlow, PyTorch,...