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AI Integration Lead
DecisionPoint Corporation. Lead planning, coordination, and implementation activities for the AI Integration task .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading AI implementation initiatives, coordinating multidisciplinary teams, and integrating AI capabilities into operational workflows. Proficient in project management, risk assessment, and stakeholder communication within federal or Department of Defense environments.
Highest-signal resume keywords
AI Implementation LeadershipMultidisciplinary Team CoordinationGovernment Stakeholder EngagementProject Management CertificationActive Secret Clearance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI IntegrationData EngineeringMLOpsCybersecurityModel EvaluationOperational WorkflowsImplementation RoadmapsRisk AssessmentUser Acceptance TestingTechnical Documentation
Soft Skills
Stakeholder FacilitationTechnical CommunicationProblem-SolvingRisk Management
Tools & Technologies
Cloud EnvironmentsKnowledge AssistantsEnterprise Application IntegrationSecure Data Pipelines
Certifications & Qualifications
DoD 8570 CertificationProject Management CertificationAgile CertificationAI CertificationCloud Certification
Industry Keywords
Department of DefenseOperational NeedsImplementation ObjectivesMission ValueData ReadinessOperational RiskHuman OversightApproval CheckpointsContinuous Improvement
Tech Stack
Tools & technologiesCloudCyber Security
About the role
Key responsibilities & impact- Lead planning, coordination, and implementation activities for the AI Integration task
- Work with Government representatives and mission owners to identify operational needs, define priorities, and establish implementation objectives
- Develop and maintain AI implementation roadmaps, schedules, milestones, dependencies, risks, and status reporting
- Coordinate multidisciplinary teams supporting AI architecture, application development, data engineering, MLOps, cybersecurity, testing, training, and operations
- Translate mission requirements into coordinated technical and operational work packages
- Evaluate and prioritize AI use cases based on mission value, feasibility, data readiness, implementation effort, and operational risk
- Guide integration of AI capabilities into existing applications, business processes, decision workflows, and user activities
- Coordinate requirements, acceptance criteria, testing approaches, and release-readiness expectations with Government stakeholders
- Align implementation activities with approved architectures, data sources, integration interfaces, and cloud environments
- Coordinate controls for human review, approvals, access permissions, auditability, exception handling, and escalation
- Track technical and organizational dependencies and resolve or escalate impediments affecting delivery
- Coordinate with data and MLOps personnel on dataset readiness, model evaluation, deployment, monitoring, and controlled updates
- Coordinate with cybersecurity personnel on applicable security requirements, authorization activities, and remediation actions
- Support demonstrations, user acceptance testing, Government reviews, and implementation decisions
- Plan operational handoffs, technical documentation, user guidance, training, and support arrangements
- Work with training and mission teams to support workforce adoption and effective use of AI capabilities
- Monitor implementation progress, user feedback, operational performance, and mission outcomes
- Prepare briefings, decision materials, risk assessments, recommendations, and task status reports
- Incorporate lessons learned into future implementation plans and continuous improvement activities
Requirements
What you’ll need- Active Secret clearance or higher
- Minimum of 12 years of relevant professional experience
- Bachelor’s degree in computer science, information systems, data science, or a related field, or a permitted equivalent
- Experience leading AI implementation initiatives
- Experience integrating AI capabilities into mission or operational workflows
- Experience leading multidisciplinary teams
- Experience coordinating with Government representatives and stakeholders
- Ability to lead the planning, coordination, and implementation of AI capabilities across organizational processes and workflows
- Applicable DoD 8570 certification if assigned information assurance management or engineering duties
- Project management or Agile certification preferred but not required
- Relevant AI or cloud certification preferred but not required
- Experience leading AI initiatives within federal or Department of Defense environments preferred
- Experience moving AI capabilities from pilot or prototype stages into sustained operational use preferred
- Familiarity with knowledge assistants, retrieval workflows, AI agents, and enterprise application integration preferred
- Familiarity with MLOps, model evaluation, model monitoring, data governance, and secure data pipelines preferred
- Experience establishing human oversight, approval checkpoints, and traceable AI implementation controls preferred
- Experience coordinating user acceptance testing, deployment readiness, operational handoffs, and workforce training preferred
- Experience measuring adoption, operational improvements, and mission impact preferred
- Strong stakeholder facilitation, technical communication, risk management, and problem-solving skills preferred
Benefits
Comp & perks- Remote work arrangement
- Equal employment opportunity and affirmative action protections
- Authorization for resume consideration for comparable positions