Job Requirements
Fort Belvoir, VA
Top Secret Polygraph not specified
Senior Level Career (10+ yrs experience)
Salary not specified
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Job Description
Title: FUNCTIONAL LEAD/FUNCTIONAL SUBJECT MATTER EXPERT (SME)
Client: Defense Logistics Agency (DLA0
Location: Fort Belvoir, VA (Hybrid- 2 days onsite/3 days remote)
Defines opportunities for new and improved business process solutions. Provides expert analysis and advice on business matters and IT solutions, to program officials and managers. Duties include but not limited to communicates complex technical requirements to non-technical personnel, carries out feasibility studies and/or gap analysis, conducts business process reengineering, and forecasting based on industry best practices. This is a lead or management position.
Minimum Requirements:
• Five (5) years relevant experience
• Must have an active DoD Top Secret Clearance at time of proposal submission and be eligible for
• IT-1 Critical Sensitive security clearance.
Preferred Requirements:
• At least three (3) years in a role focused on AI, machine learning, or data science.
• Proven experience in developing and deploying AI/ML models in a production environment, preferably for cybersecurity applications.
• Strong knowledge of AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) and experience with programming languages such as Python.
• Demonstrated experience with AI-driven security technologies, including but not limited to, User and Entity Behavior Analytics (UEBA), Security Orchestration, Automation, and Response (SOAR), and AI-powered threat intelligence platforms.
• Familiarity with the ethical considerations and governance of AI in a DoD environment.
• Excellent communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
Additional Requirements:
To support Engineering, Technical, and AI/Agentic Support, the Contractor shall:
• Support review, evaluation, and alignment efforts for information technology (IT) risk management, incorporating AI-driven predictive modeling and automated risk assessment frameworks.
• Support COOP Cyber SWAT to ServiceNow assessment efforts, leveraging agentic workflows to automate incident response templates and technical decision trees.
• Provide IT, IS, artificial intelligence/agentic orchestration, knowledge management, and change management expertise.
• Projects will require access to SIPR information supporting mission decomposition, operational scheduling, continuity of operations, operational technology, and IT risk management, ensuring all deployed AI models and agentic configurations comply with secure environment protocols.
• Support J6 efforts to coordinate, develop, and sustain DLA and cloud service provider memorandum of agreements. Specific support could include development of requirements for
• safeguarding the cloud environment and maintaining CSSP metrics as they relate to the cloud; integrating AI-powered threat detection and automated policy-enforcement agents within the
• cloud architecture; development of cloud documentation outlining roles and responsibilities in accordance with DoD policy and cybersecurity requirements; developing policy that addresses roles for platform as a service, software as a service, infrastructure as a service, and hybrid offerings; and documenting actions required for applications designated to move into an AI-enabled cloud environment.
Client: Defense Logistics Agency (DLA0
Location: Fort Belvoir, VA (Hybrid- 2 days onsite/3 days remote)
Defines opportunities for new and improved business process solutions. Provides expert analysis and advice on business matters and IT solutions, to program officials and managers. Duties include but not limited to communicates complex technical requirements to non-technical personnel, carries out feasibility studies and/or gap analysis, conducts business process reengineering, and forecasting based on industry best practices. This is a lead or management position.
Minimum Requirements:
• Five (5) years relevant experience
• Must have an active DoD Top Secret Clearance at time of proposal submission and be eligible for
• IT-1 Critical Sensitive security clearance.
Preferred Requirements:
• At least three (3) years in a role focused on AI, machine learning, or data science.
• Proven experience in developing and deploying AI/ML models in a production environment, preferably for cybersecurity applications.
• Strong knowledge of AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) and experience with programming languages such as Python.
• Demonstrated experience with AI-driven security technologies, including but not limited to, User and Entity Behavior Analytics (UEBA), Security Orchestration, Automation, and Response (SOAR), and AI-powered threat intelligence platforms.
• Familiarity with the ethical considerations and governance of AI in a DoD environment.
• Excellent communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
Additional Requirements:
To support Engineering, Technical, and AI/Agentic Support, the Contractor shall:
• Support review, evaluation, and alignment efforts for information technology (IT) risk management, incorporating AI-driven predictive modeling and automated risk assessment frameworks.
• Support COOP Cyber SWAT to ServiceNow assessment efforts, leveraging agentic workflows to automate incident response templates and technical decision trees.
• Provide IT, IS, artificial intelligence/agentic orchestration, knowledge management, and change management expertise.
• Projects will require access to SIPR information supporting mission decomposition, operational scheduling, continuity of operations, operational technology, and IT risk management, ensuring all deployed AI models and agentic configurations comply with secure environment protocols.
• Support J6 efforts to coordinate, develop, and sustain DLA and cloud service provider memorandum of agreements. Specific support could include development of requirements for
• safeguarding the cloud environment and maintaining CSSP metrics as they relate to the cloud; integrating AI-powered threat detection and automated policy-enforcement agents within the
• cloud architecture; development of cloud documentation outlining roles and responsibilities in accordance with DoD policy and cybersecurity requirements; developing policy that addresses roles for platform as a service, software as a service, infrastructure as a service, and hybrid offerings; and documenting actions required for applications designated to move into an AI-enabled cloud environment.
group id: 10216532
