AI/RPA Solutions Architect 102180

AI/RPA Solutions Architect 
Location: Hampton, VA 
Required Clearance: Top Secret/SCI 

Since 1999, ITEC has delivered mission-critical support to the DoD and Intelligence Community. Now part of ManpowerGroup Public Sector (MGPS), we continue that work with expanded capabilities. Employees hired through this process will join MGPS and receive a comprehensive benefits package and competitive pay.  

U.S. Citizenship Mandatory: Due to our US federal government contract, candidates for this position are required to be a US Citizen and will be subject to a background investigation. 

Job Description:

• Lead architecture, development, and deployment of AI/ML and RPA solutions supporting Air Combat Command (ACC) missions.
• Design secure solutions across NIPRNet, SIPRNet, and AFSCI environments.
• Provide technical leadership, stakeholder engagement, and innovation support.
• Translate mission requirements into scalable AI, automation, analytics, and decision-support capabilities.
• Ensure compliance with DoD security, governance, and DevSecOps standards.
• Drive measurable mission impact through rapid prototyping and operational transition. 

Job Responsibilities:

Solution Architecture & Development

• Design and prototype AI/ML and RPA solutions addressing operational challenges.
• Develop automation, decision-support, analytics, and knowledge-management capabilities.
• Architect integrations, APIs, data pipelines, and cloud-based solutions.
• Maintain multiple concurrent prototypes and rapid development cycles.
• Evaluate emerging technologies and recommend mission-aligned solutions.
• Ensure scalability, maintainability, and security compliance. 

Deployment & Transition

• Conduct user acceptance testing and solution validation.
• Transition prototypes into operational use with training and documentation.
• Measure and report ROI, mission value, and user adoption.
• Provide post-deployment support and sustainment planning.
• Perform quality assurance, security reviews, and performance testing.
• Ensure compliance with classification and data-handling requirements. 

Technical Advisory

• Advise leadership on AI/RPA opportunities and adoption strategies.
• Identify and prioritize high-value automation and AI use cases.
• Support governance boards, working groups, and innovation initiatives.
• Collaborate with government, industry, and platform vendors.
• Conduct demonstrations, workshops, and stakeholder briefings.
• Support classified operations and secure-environment development. 

Required Skills:

• 5+ years of AI/ML solution design and development experience.
• 3+ years supporting DoD, federal, or defense-contractor programs.
• Experience deploying AI/ML and RPA solutions with measurable outcomes.
• Strong communication and stakeholder engagement skills.
• LLMs and Generative AI (GPT, Claude, Llama, etc.).
• TensorFlow, PyTorch, scikit-learn, Keras.
• NLP, predictive analytics, deep learning, and prompt engineering.
• Responsible AI and model governance principles.
• UiPath and/or Microsoft Power Automate.
• Workflow automation, process mining, and orchestration.
• Attended and unattended automation solutions.
• Python, SQL, REST APIs, Git.
• Azure (preferred), AWS, or GCP.
• Docker, Kubernetes, CI/CD, DevSecOps.
• Data engineering, ETL/ELT, and visualization tools.
• RMF, NIST 800-53, DISA STIGs.
• CUI, Secret, and Top Secret data handling.
• IL5/IL6 cloud security requirements. 

Desired Skills:

• 7+ years AI/ML or RPA experience.
• Prior Air Force, Intelligence Community, or ACC mission support.
• Experience with AskSage, Palantir, Databricks, or Snowflake.
• Cloud architecture, AI/ML, or cybersecurity certifications.
• Experience mentoring teams and leading technical initiatives.
• Performance Expectations
• Develop 3+ prototypes and transition 2+ operational solutions per quarter.
• Identify 10+ new use cases quarterly.
• Deliver measurable ROI and mission impact.
• Maintain high stakeholder satisfaction and security compliance.
• Contribute to innovation, knowledge sharing, and continuous improvement. 

Education:

• Bachelor's degree in Computer Science, AI, Data Science, Software Engineering, or related field.
• Master's degree preferred in AI/ML, Computer Science, or related discipline.