OverviewDecisionPoint seeks an AI Integration Task Lead to lead the planning, coordination, and implementation of artificial intelligence capabilities across USMEPCOM processes and workflows under the ENLIST program.
This SME-level position will work with Government representatives, mission owners, technical teams, and program leadership to translate operational priorities into practical AI implementation plans. The lead will coordinate multidisciplinary teams through requirements definition, solution development, integration, testing, deployment, and operational adoption.
The AI Integration Task Lead will guide the integration of AI into mission workflows while coordinating data readiness, technical dependencies, security considerations, human oversight, training, and measurable mission outcomes.
This position is remote, with Chicago-area candidates preferred.
Note: By applying to this position, you acknowledge and consent to having your resume included in an active competitive government contract bid.
Duties & Responsibilities
The AI Integration Task Lead will:
- 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.
Qualifications
Required Qualifications
The following must-have qualifications are drawn from the supplied position requirements:
- 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.
Preferred Qualifications
The following qualifications are preferred but are not required:
- Project management or Agile certification.
- Relevant AI or cloud certification.
- Experience leading AI initiatives within federal or Department of Defense environments.
- Experience moving AI capabilities from pilot or prototype stages into sustained operational use.
- Familiarity with knowledge assistants, retrieval workflows, AI agents, and enterprise application integration.
- Familiarity with MLOps, model evaluation, model monitoring, data governance, and secure data pipelines.
- Experience establishing human oversight, approval checkpoints, and traceable AI implementation controls.
- Experience coordinating user acceptance testing, deployment readiness, operational handoffs, and workforce training.
- Experience measuring adoption, operational improvements, and mission impact.
- Strong stakeholder facilitation, technical communication, risk management, and problem-solving skills.
