AI/RPA Solutions Architect

Koniag Government Services, LLC•Hampton, VA

1d•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. The AI/RPA Solutions Architect 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. This role 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 ensuring parallel development pipelines: (NIPRNet/SIPRnet/AFSCI Architect) will provide on-site AI/RPA technical advisory, solution development, and user-driven innovation facilitation. Designs, prototypes, transitions AI and RPA workflows and tools in support of ACC/A589 mission requirements; provides dedicated on-site technical advisory and user-driven innovation support; ensures alignment with ACC data governance and security policies across classified environments. Focuses on unclassified and Controlled Unclassified Information (CUI) solutions, 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. Will enable rapid prototyping, broader user access, and cross-organizational knowledge sharing. This architect will develop solutions that can be widely deployed, tested, and refined before potential classification upgrades.

Requirements

TS/SCI security clearance required.
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.
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 in Python (required) - for AI/ML development, data processing, and scripting.
Experience with SQL - for database querying and data extraction.
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.
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.
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).
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.
Familiarity with additional languages: PowerShell, JavaScript, C#, or Java (preferred).
Data visualization - Power BI, Tableau, or equivalent.
Database technologies - SQL Server, PostgreSQL, MongoDB, or equivalent.
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.
Impact Level 5 (IL5) and Impact Level 6 (IL6) cloud security requirements (Position 2).

Nice To Haves

Master's degree preferred in AI/ML, Computer Science, or related discipline.
Experience with multiple classification levels (unclassified, Secret, Top Secret) preferred.
Microsoft Power Platform Fundamentals (PL-900).
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.
Willingness to undergo polygraph if required for specific AFSCI access (Position 2).
Big data technologies - Spark, Hadoop, or cloud-native data platforms (preferred).
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

Designs, prototypes, transitions AI and RPA workflows and tools in support of ACC/A589 mission requirements; provides dedicated on-site technical advisory and user-driven innovation support; ensures alignment with ACC data governance and security policies across classified environments.
Focuses on unclassified and Controlled Unclassified Information (CUI) solutions, 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.
Enables rapid prototyping, broader user access, and cross-organizational knowledge sharing.
Develops solutions that can be widely deployed, tested, and refined before potential classification upgrades.
Designs and develops AI/ML and RPA prototypes addressing operational challenges identified by ACC staff, wings, and directorates.
Translates user requirements and mission needs into technical specifications and solution architectures.
Leverages enterprise-approved AI platforms (e.g., AskSage, GenAI tools) and RPA platforms (e.g., UiPath, Power Automate) to build functional prototypes.
Develops solutions including but not limited to: Automation/RPA: Repetitive task elimination, data entry automation, report generation, workflow orchestration; Decision Support: Predictive analytics, pattern recognition, risk assessment, recommendation engines; Knowledge Management: Intelligent search, document summarization, question-answering systems, knowledge extraction; Data Analysis: Trend identification, anomaly detection, natural language querying, visualization automation.
Maintains concurrent development of 3-6 prototypes at various stages of maturity.
Conducts rapid prototyping cycles (4-6 weeks from concept to working demo).
Ensures solutions are designed for scalability, maintainability, and government sustainment.
Defines solution architectures that integrate with existing ACC IT infrastructure, data sources, and security frameworks.
Designs data pipelines, API integrations, and middleware components.
Ensures solutions comply with DoD Enterprise DevSecOps Reference Design and cloud-native principles where applicable.
Documents technical architectures using standard notation (e.g., UML, C4 model, data flow diagrams).
Conducts technical feasibility assessments for proposed use cases.
Evaluates and recommends AI/RPA platforms, tools, and technologies based on mission fit, security posture, and total cost of ownership.
Focuses on solutions that maximize accessibility and collaboration across ACC enterprise (NIPRNet Architect).
Develops prototypes that can serve as proof-of-concept for potential classified variants (NIPRNet Architect).
Prioritizes solutions with broad applicability (training, logistics, administrative automation) (NIPRNet Architect).
Designs for cross-domain solution (CDS) compatibility where classified variants may be needed (NIPRNet Architect).
Focuses on intelligence, operational planning, and mission-critical applications requiring classification (SIPRNet/AFSCI Architect).
Ensures solutions meet Impact Level 5 (IL5) and Impact Level 6 (IL6) security requirements (SIPRNet/AFSCI Architect).
Designs compartmentalized solutions for AFSCI environments with appropriate access controls (SIPRNet/AFSCI Architect).
Prioritizes solutions supporting ISR operations, targeting, mission planning, and intelligence analysis (SIPRNet/AFSCI Architect).
Conducts user acceptance testing (UAT) with operational end-users in realistic mission contexts.
Facilitates iterative refinement based on user feedback and performance metrics.
Validates solution accuracy, reliability, and usability against defined acceptance criteria.
Documents test results, user feedback, and lessons learned.
Transitions successful prototypes to sustained operational use, meeting contractual target of 2+ solutions per quarter.
Develops comprehensive transition packages including: Technical documentation (architecture, configuration, dependencies); User guides and standard operating procedures (SOPs); Training materials and train-the-trainer content; Troubleshooting guides and FAQs; Sustainment and maintenance procedures.
Conducts knowledge transfer sessions with government personnel designated as solution owners.
Provides post-transition support (30-60 days) to ensure stable operations and address issues.
Monitors solution performance and user adoption post-transition.
Quantifies mission value for every transitioned solution using standardized methodology.
Calculates time savings, cost avoidance, productivity gains, quality improvements, and strategic value.
Documents ROI with supporting data, user testimonials, and before/after metrics.
Presents ROI analysis to stakeholders and leadership for validation.
Maintains portfolio of transitioned solutions with cumulative impact metrics.
Ensures all solutions meet quality standards before transition (security, performance, usability, documentation).
Conducts security reviews and obtains necessary approvals (A6, CDO, security office).
Verifies compliance with DoD data handling, CUI marking, and classification requirements.
Performs code reviews, vulnerability assessments, and performance testing.
Serves as technical advisor to ACC / A589 leadership, directorate chiefs, and wing commanders on AI/RPA capabilities and opportunities.
Participates in technical working groups, governance councils, and planning forums.
Provides expert recommendations on AI/RPA platform selection, integration strategies, and adoption roadmaps.
Assesses emerging AI/ML technologies and trends for potential ACC application.
Conducts technology demonstrations and capability briefings for stakeholders.
Collaborates with ACC HQ staff, A589 supported Wings (32 branches), and operational units to identify high-value use cases.
Conducts discovery sessions, process walkthroughs, and pain point analysis.
Evaluates use cases for technical feasibility, ROI potential, security implications, and strategic alignment.
Develops prioritization frameworks considering mission impact, effort, risk, and dependencies.
Maintains backlog of prioritized use cases with documented business cases.
Works closely with training, resource management, and user support teams to ensure holistic solution delivery.
Coordinates with security and compliance leads to ensure solutions meet all requirements.
Engages with platform vendors (AskSage, UiPath, Microsoft, etc.) for technical support and capability enhancement.
Collaborates with other MAJCOM AI/RPA teams to share lessons learned and reusable components.
Participates in DAF-wide AI community of practice and knowledge sharing forums.
Provides on-site technical support in classified A589 facilities (SIPRNet SCIFs, AFSCI spaces).
Troubleshoots classified solution issues and provides expert guidance.
Conducts in-person workshops and hackathons in classified environments.
Mentors government personnel on AI/RPA development in classified contexts.
Identifies opportunities to automate internal program processes (e.g., reporting, resource management, quality assurance).
Develops tools and scripts to improve team productivity and efficiency.
Contributes to program innovation targets (4+ process improvements per quarter).
Documents and shares best practices, lessons learned, and reusable code/components.
Stays current on AI/ML research, emerging technologies, and industry best practices.
Experiments with new A589 AI platforms, frameworks, and techniques.
Prototypes innovative solutions that push the boundaries of current capabilities.
Contributes to thought leadership through presentations, white papers, and publications.
Plans and facilitates quarterly hackathons engaging 25+ participants per event.
Provides technical mentorship to participants during problem-solving sessions.
Evaluates hackathon outputs for potential prototype development.
Fosters culture of innovation and experimentation across ACC.
Maintains comprehensive documentation for all A589 solutions (architecture, code, configuration, deployment).
Contributes to living knowledge base with articles, tutorials, and troubleshooting guides.
Develops reusable templates, frameworks, and code libraries.
Documents lessons learned and best practices for future reference.
Provides regular updates on solution development pipeline status.
Reports on prototype progress, transition milestones, and ROI metrics.
Contributes to monthly program reviews and quarterly performance briefs.
Maintains accurate records in project tracking systems (Jira, Azure DevOps, AWS, etc.).