AI/RPA Solutions Architect

Koniag Government Services•Hampton, VA

23h•Onsite

About The Position

Koniag IT Systems, LLC, a Koniag Government Services company, is seeking an AI/RPA Solutions Architect with a TS/SCI security clearance to support KITS and our government customer at Langley Air Force Base, Hampton, VA. This role is a critical technical leadership position responsible for designing, prototyping, and transitioning artificial intelligence and robotic process automation solutions that deliver measurable mission value across Air Combat Command. The position requires deep technical expertise in AI/ML technologies, hands-on development capabilities, and the ability to translate complex operational requirements into scalable, secure, and compliant solutions across multiple classification levels. There are two specialized positions: one for NIPRNet/SIPRnet/AFSCI Architect, who will provide on-site AI/RPA technical advisory, solution development, and user-driven innovation facilitation. This architect will design, prototype, and transition AI and RPA workflows and tools in support of ACC/A589 mission requirements, ensuring alignment with ACC data governance and security policies across classified environments. The focus will be on unclassified and Controlled Unclassified Information (CUI) solutions, as well as classified solutions operating in Secret (SIPRNet) and Top Secret (AFSCI) environments, addressing intelligence, operational planning, and mission-critical applications requiring higher levels of security and compartmentalization. This role will enable rapid prototyping, broader user access, and cross-organizational knowledge sharing, developing solutions that can be widely deployed, tested, and refined before potential classification upgrades.

Requirements

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Information Systems, or related technical field.
Minimum 5+ years of hands-on experience in AI/ML solution design, development, integration, and testing.
Minimum 3+ years of experience in DoD, federal government, or defense contractor environments.
Demonstrated experience prototyping and deploying AI/ML or RPA solutions that delivered measurable business value.
Experience working in classified environments (SIPRNet, JWICS, or equivalent) - required for Position 2.
Experience with multiple classification levels (unclassified, Secret, Top Secret) preferred.
AI Engineer Certification or equivalent (e.g., AWS Certified Machine Learning, Google Professional ML Engineer, Microsoft Azure AI Engineer, TensorFlow Developer Certificate).
RPA Certification: UiPath Certified RPA Associate OR Microsoft Power Automate certification (RPA Developer Associate or equivalent).
CompTIA Security+ (or higher DoD 8570 IAT Level II certification such as CISSP, CASP+, GIAC).
Proficiency with Large Language Models (LLMs) and Generative AI platforms (GPT, Claude, LLaMA, or similar).
Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn, Keras, or equivalent.
Knowledge of AI/ML techniques: supervised/unsupervised learning, deep learning, natural language processing (NLP), computer vision, reinforcement learning.
Experience with prompt engineering and fine-tuning LLMs for domain-specific applications.
Understanding of AI ethics, bias mitigation, and responsible AI principles.
Hands-on experience with UiPath (Studio, Orchestrator, Robots) or Microsoft Power Automate (Desktop, Cloud Flows, Process Advisor).
Ability to design, develop, and deploy end-to-end RPA workflows.
Experience with process mining and automation opportunity identification.
Knowledge of attended vs. unattended automation patterns.
Proficiency in Python (required) - for AI/ML development, data processing, and scripting.
Experience with SQL - for database querying and data extraction.
Familiarity with additional languages: PowerShell, JavaScript, C#, or Java (preferred).
API development and integration - RESTful APIs, webhooks, authentication (OAuth, API keys).
Version control: Git, GitHub, GitLab, or Azure DevOps.
Data pipeline development - ETL/ELT processes, data transformation, data quality.
Data visualization - Power BI, Tableau, or equivalent.
Database technologies - SQL Server, PostgreSQL, MongoDB, or equivalent.
Big data technologies - Spark, Hadoop, or cloud-native data platforms (preferred).
Cloud platforms: Azure (preferred), AWS, or Google Cloud Platform.
Containerization: Docker, Kubernetes (preferred).
Infrastructure as Code: Terraform, ARM templates, or equivalent (preferred).
CI/CD pipelines: Azure DevOps, Jenkins, GitLab CI, or equivalent.
DoD cybersecurity frameworks: RMF, NIST 800-53, DISA STIGs.
Data classification and handling: CUI, Secret, Top Secret, compartmented information.
Secure coding practices and vulnerability mitigation.
Impact Level 5 (IL5) and Impact Level 6 (IL6) cloud security requirements (Position 2).
Excellent communication skills - Ability to explain complex technical concepts to non-technical audiences (commanders, planners, analysts).
User-centered design mindset - Focus on solving user problems, not just applying technology.
Collaboration and teamwork - Work effectively across functional teams and with government partners.
Problem-solving and critical thinking - Analyze complex problems, evaluate alternatives, and recommend solutions.
Adaptability and flexibility - Thrive in dynamic, fast-paced environment with shifting priorities.
Self-motivated and proactive - Take initiative, identify opportunities, and drive results.
Attention to detail - Ensure accuracy, quality, and completeness in all work products.
Customer service orientation - Responsive, professional, and mission-focused.
TS/SCI clearance required - Must be current and in-scope at contract start (no exceptions).
Willingness to undergo polygraph if required for specific AFSCI access (Position 2).
Must be able to obtain and maintain additional compartmented accesses as mission requires.

Nice To Haves

Master's degree preferred in AI/ML, Computer Science, or related discipline.
Microsoft Power Platform Fundamentals (PL-900).
DoD 8140/8570 Compliance: Additional certifications meeting Cyber Workforce Framework (DCWF) requirements.
Cloud Certifications: AWS Solutions Architect, Azure Solutions Architect, or equivalent.
Data Science/Analytics: Certified Analytics Professional (CAP), SAS Certified Data Scientist, or equivalent.
7+ years of AI/ML or RPA experience in enterprise environments.
Experience in military or intelligence community operations, workflows, and mission context.
Prior Air Force or DoD contract performance with understanding of ACC mission and operations.
Experience leading technical teams or mentoring junior developers.
Published research, presentations, or thought leadership in AI/ML domain.
Experience with specific platforms: AskSage, Palantir, Databricks, Snowflake, or other enterprise AI/data platforms.
Knowledge of ISR operations, intelligence analysis workflows, or operational planning processes (Position 2).
Familiarity with Air Force data architecture and enterprise systems (DCGS, GCCS, MilCloud, etc.).

Responsibilities

Design and develop AI/ML and RPA prototypes addressing operational challenges identified by ACC staff, wings, and directorates.
Translate user requirements and mission needs into technical specifications and solution architectures.
Leverage enterprise-approved AI platforms (e.g., AskSage, GenAI tools) and RPA platforms (e.g., UiPath, Power Automate) to build functional prototypes.
Develop solutions including but not limited to: Automation/RPA, Decision Support, Knowledge Management, and Data Analysis.
Maintain concurrent development of 3-6 prototypes at various stages of maturity.
Conduct rapid prototyping cycles (4-6 weeks from concept to working demo).
Ensure solutions are designed for scalability, maintainability, and government sustainment.
Define solution architectures that integrate with existing ACC IT infrastructure, data sources, and security frameworks.
Design data pipelines, API integrations, and middleware components.
Ensure solutions comply with DoD Enterprise DevSecOps Reference Design and cloud-native principles where applicable.
Document technical architectures using standard notation (e.g., UML, C4 model, data flow diagrams).
Conduct technical feasibility assessments for proposed use cases.
Evaluate and recommend AI/RPA platforms, tools, and technologies based on mission fit, security posture, and total cost of ownership.
Focus on solutions that maximize accessibility and collaboration across ACC enterprise (NIPRNet Architect).
Develop prototypes that can serve as proof-of-concept for potential classified variants (NIPRNet Architect).
Prioritize solutions with broad applicability (training, logistics, administrative automation) (NIPRNet Architect).
Design for cross-domain solution (CDS) compatibility where classified variants may be needed (NIPRNet Architect).
Focus on intelligence, operational planning, and mission-critical applications requiring classification (SIPRNet/AFSCI Architect).
Ensure solutions meet Impact Level 5 (IL5) and Impact Level 6 (IL6) security requirements (SIPRNet/AFSCI Architect).
Design compartmentalized solutions for AFSCI environments with appropriate access controls (SIPRNet/AFSCI Architect).
Prioritize solutions supporting ISR operations, targeting, mission planning, and intelligence analysis (SIPRNet/AFSCI Architect).
Conduct user acceptance testing (UAT) with operational end-users in realistic mission contexts.
Facilitate iterative refinement based on user feedback and performance metrics.
Validate solution accuracy, reliability, and usability against defined acceptance criteria.
Document test results, user feedback, and lessons learned.
Transition successful prototypes to sustained operational use, meeting contractual target of 2+ solutions per quarter.
Develop comprehensive transition packages including technical documentation, user guides, SOPs, training materials, and troubleshooting guides.
Conduct knowledge transfer sessions with government personnel designated as solution owners.
Provide post-transition support (30-60 days) to ensure stable operations and address issues.
Monitor solution performance and user adoption post-transition.
Quantify mission value for every transitioned solution using standardized methodology.
Calculate time savings, cost avoidance, productivity gains, quality improvements, and strategic value.
Document ROI with supporting data, user testimonials, and before/after metrics.
Present ROI analysis to stakeholders and leadership for validation.
Maintain portfolio of transitioned solutions with cumulative impact metrics.
Ensure all solutions meet quality standards before transition (security, performance, usability, documentation).
Conduct security reviews and obtain necessary approvals (A6, CDO, security office).
Verify compliance with DoD data handling, CUI marking, and classification requirements.
Perform code reviews, vulnerability assessments, and performance testing.
Serve as technical advisor to ACC / A589 leadership, directorate chiefs, and wing commanders on AI/RPA capabilities and opportunities.
Participate in technical working groups, governance councils, and planning forums.
Provide expert recommendations on AI/RPA platform selection, integration strategies, and adoption roadmaps.
Assess emerging AI/ML technologies and trends for potential ACC application.
Conduct technology demonstrations and capability briefings for stakeholders.
Collaborate with ACC HQ staff, A589 supported Wings (32 branches), and operational units to identify high-value use cases.
Conduct discovery sessions, process walkthroughs, and pain point analysis.
Evaluate use cases for technical feasibility, ROI potential, security implications, and strategic alignment.
Develop prioritization frameworks considering mission impact, effort, risk, and dependencies.
Maintain backlog of prioritized use cases with documented business cases.
Work closely with training, resource management, and user support teams to ensure holistic solution delivery.
Coordinate with security and compliance leads to ensure solutions meet all requirements.
Engage with platform vendors (AskSage, UiPath, Microsoft, etc.) for technical support and capability enhancement.
Collaborate with other MAJCOM AI/RPA teams to share lessons learned and reusable components.
Participate in DAF-wide AI community of practice and knowledge sharing forums.
Provide on-site technical support in classified A589 facilities (SIPRNet SCIFs, AFSCI spaces).
Troubleshoot classified solution issues and provide expert guidance.
Conduct in-person workshops and hackathons in classified environments.
Mentor government personnel on AI/RPA development in classified contexts.
Identify opportunities to automate internal program processes (e.g., reporting, resource management, quality assurance).
Develop tools and scripts to improve team productivity and efficiency.
Contribute to program innovation targets (4+ process improvements per quarter).
Document and share best practices, lessons learned, and reusable code/components.
Stay current on AI/ML research, emerging technologies, and industry best practices.
Experiment with new A589 AI platforms, frameworks, and techniques.
Prototype innovative solutions that push the boundaries of current capabilities.
Contribute to thought leadership through presentations, white papers, and publications.
Plan and facilitate quarterly hackathons engaging 25+ participants per event.
Provide technical mentorship to participants during problem-solving sessions.
Evaluate hackathon outputs for potential prototype development.
Foster culture of innovation and experimentation across ACC.
Maintain comprehensive documentation for all A589 solutions (architecture, code, configuration, deployment).
Contribute to living knowledge base with articles, tutorials, and troubleshooting guides.
Develop reusable templates, frameworks, and code libraries.
Document lessons learned and best practices for future reference.
Provide regular updates on solution development pipeline status.
Report on prototype progress, transition milestones, and ROI metrics.
Contribute to monthly program reviews and quarterly performance briefs.
Maintain accurate records in project tracking systems (Jira, Azure DevOps, AWS, etc.).