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DecisionPoint

Defense IT services and mission support

AI Agent and Automation Specialist

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • Must hold an active Secret clearance supported by a Tier 5 background investigation.
  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Cybersecurity, or a related field.
  • Minimum 10 years of experience designing or supporting AI/ML, automation, or software development solutions.
  • Experience building or training AI virtual assistants, chatbots, or intelligent workflow tools.
  • Experience with automation platforms, scripting, and workflow tools.
  • Experience integrating APIs, data sources, and enterprise applications.
  • Experience supporting ITSM or Service Desk operations.
  • Strong understanding of AI/ML fundamentals, model training, and conversational agent design.
  • Experience with automation tools such as Power Automate, ServiceNow automation, UiPath, or similar.
  • Knowledge of API development, scripting languages, and integration patterns.
  • Familiarity with knowledge management systems, ITSM workflows, and service automation practices.
  • Strong problem-solving and analytical abilities for building effective automation logic.
  • Ability to translate Service Desk needs into AI/automation requirements.
  • Strong documentation and process-mapping abilities.
  • Ability to manage multiple automation initiatives in a dynamic environment.

Responsibilities

  • Design, develop, and train AI-powered virtual agents and digital assistants to support end-user self-service capabilities.
  • Create automated ticket routing, prioritization, and triage logic using AI models, rules engines, and workflow platforms.
  • Integrate AI agents with ITSM tools, knowledge bases, monitoring systems, and enterprise applications.
  • Develop self-help tools and guided troubleshooting workflows to reduce Tier 1–2 ticket volume.
  • Build automation that supports Service Desk operations, including auto-categorization, log enrichment, suggested resolutions, and workflow triggers.
  • Maintain and update AI models based on new data, changing system behavior, and user interaction patterns.
  • Monitor model performance, accuracy metrics, error rates, and training data quality.
  • Collaborate with cybersecurity, engineering, and knowledge management teams to ensure AI automations align with enterprise controls and documentation.
  • Analyze ticket trends, usage analytics, and automation effectiveness to support continuous improvement.
  • Develop scripts, connectors, and automation integrations with APIs, IT tools, and cloud services.
  • Document automation architectures, training processes, and operational workflows.

Desired Qualifications

  • Experience with LLM tuning, vector databases, or retrieval augmented generation (RAG).
  • Experience supporting federal or DoD programs.
  • Experience with cloud-native AI or automation services such as AWS, Azure, or GCP.
  • CompTIA Security+ certification.
  • AI, ML, or automation-related certifications.
  • ITIL v4 Foundation certification.
  • Ability to communicate effectively with Service Desk, engineering, and cybersecurity teams.

About the Company

DecisionPoint

Defense IT services and mission support

DecisionPoint delivers IT support services to U.S. defense and federal agencies, helping them improve mission delivery. The company uses four Centers of Excellence to design and implement solutions that blend skilled professionals, mature processes, and smart technologies to tackle government challenges. It differentiates itself through its Service Disabled Veteran Owned Small Business (SDVOSB) status and its center-based approach to delivering large-scale IT programs across defense and federal sectors. Its goal is to help government agencies transform and enhance performance to meet critical mission requirements.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Gaithersburg, MD
Founded
2011

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