AI/RPA Solutions Architect

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, VA.

We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.

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.

Two specialized positions ensure parallel development pipelines:

Position 1 (NIPRNet Architect) focuses on unclassified and Controlled Unclassified Information (CUI) solutions, enabling 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.

Position 2 (SIPRNet/AFSCI Architect) focuses on 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.

POSITION DIFFERENTIATION: NIPRNet vs. SIPRNet/AFSCI

Position 1: NIPRNet Solutions Architect

Focus Areas:

• Unclassified and CUI solutions with broad ACC enterprise applicability
• Administrative automation, logistics optimization, training tools, knowledge management
• Solutions that can be widely shared, demonstrated, and refined with large user base
• Prototypes that may serve as proof-of-concept for classified variants

Typical Use Cases:

• Automated report generation from unclassified data sources
• Natural language querying of logistics and maintenance databases
• Training content generation and personalization
• Administrative workflow automation (leave requests, travel processing, etc.)
• Knowledge base intelligent search and Q&A systems

Environment:

• Primary work on NIPRNet systems
• Office environment at JBLE with standard IT access
• Travel to ACC wings for training, demonstrations, and user engagement
• Collaboration with broader DAF and joint community

Clearance:

• TS/SCI required (for access to program information and coordination with classified teams), but day-to-day work primarily unclassified

Position 2: SIPRNet/AFSCI Solutions Architect

Focus Areas:

• Classified solutions for intelligence, operational planning, and mission-critical applications
• ISR operations support, targeting, mission planning, intelligence analysis
• Solutions requiring Secret or Top Secret classification due to data sensitivity
• Compartmented solutions for AFSCI environments with strict access controls

Typical Use Cases:

• Intelligence report summarization and pattern analysis
• Threat assessment and predictive analytics
• Operational planning optimization and decision support
• Targeting data processing and validation
• Classified sensor data analysis and fusion

Environment:

• Primary work in SCIFs and secure facilities at JBLE
• Regular access to SIPRNet and AFSCI systems
• On-site work at ISR Wings in classified spaces
• Limited telework (classified work must be performed in approved facilities)

Clearance: TS/SCI required and actively used; must maintain currency and be prepared for additional compartmented accesses

Essential Job Functions:

• AI/RPA Solution Design and Architecture (40%)
• Prototype Development:

• 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: 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
• 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

Technical Architecture:

• 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

Classification-Specific Responsibilities:

NIPRNet Architect:

• Focus on solutions that maximize accessibility and collaboration across ACC enterprise
• Develop prototypes that can serve as proof-of-concept for potential classified variants
• Prioritize solutions with broad applicability (training, logistics, administrative automation)
• Design for cross-domain solution (CDS) compatibility where classified variants may be needed

SIPRNet/AFSCI Architect:

• Focus on intelligence, operational planning, and mission-critical applications requiring classification
• Ensure solutions meet Impact Level 5 (IL5) and Impact Level 6 (IL6) security requirements
• Design compartmentalized solutions for AFSCI environments with appropriate access controls
• Prioritize solutions supporting ISR operations, targeting, mission planning, and intelligence analysis

• Solution Transition and Deployment (25%)
• User Validation and Testing:

• 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

Operational Transition:

• Transition successful prototypes to sustained operational use, meeting contractual target of 2+ solutions per quarter
• Develop 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
• 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

Return on Investment (ROI) Documentation:

• 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

Quality Assurance:

• 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

Technical Advisory and Consultation (20%)

Stakeholder Engagement:

• Serve as technical advisor to ACC 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

Use Case Identification and Prioritization:

• Collaborate with ACC HQ staff, ISR 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

Cross-Functional Collaboration:

• 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

Classified Environment Support:

• Provide on-site technical support in classified 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

Innovation and Continuous Improvement (10%)

Process Improvement:

• 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

Research and Development:

• Stay current on AI/ML research, emerging technologies, and industry best practices
• Experiment with new 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

Hackathon and Innovation Event Support:

• 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

Documentation and Knowledge Management (5%)

Technical Documentation:

• Maintain comprehensive documentation for all 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

Reporting and Metrics:

• 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, etc.)

PERFORMANCE EXPECTATIONS

Quarterly Targets (Minimum)

• Prototypes Developed: 3+ AI/RPA prototypes per quarter
• Solutions Transitioned: 2+ solutions transitioned to operational use per quarter (with documented ROI)
• Use Cases Identified: 10+ new use cases identified and documented per quarter
• Stakeholder Engagement: Participate in 4+ wing visits, technical working groups, or leadership briefings per quarter
• ROI Documentation: 100% of transitioned solutions have quantified ROI with supporting evidence
• User Satisfaction: Achieve ≥4.0/5.0 average user satisfaction rating for transitioned solutions

Annual Targets

• Total Prototypes: 12+ prototypes developed
• Total Transitions: 8+ solutions transitioned to sustained operations
• Cumulative ROI: Document ≥10,000 hours saved or ≥$2M cost avoidance from transitioned solutions
• Innovation: Contribute to 4+ process improvements or innovative capabilities
• Knowledge Sharing: Deliver 2+ presentations or training sessions to broader community

Quality Standards

• Security Compliance: Zero security incidents attributable to architect's work
• Code Quality: All code meets established standards (peer reviewed, documented, tested)
• Documentation: 100% of solutions have complete technical documentation and transition packages
• Timeliness: 90%+ of milestones delivered on or ahead of schedule
• Stakeholder Satisfaction: ≥4.5/5.0 rating from COR and key stakeholders

Working Conditions:

Location and Environment:

• Primary Work Location: Joint Base Langley-Eustis (JBLE), Virginia
• Classified Facilities: Regular work in Sensitive Compartmented Information Facilities (SCIFs) and secure spaces (Position 2)
• Workspace: Government-provided office space in secure facility; access to NIPRNet, SIPRNet, and collaboration tools
• Classified Work: Regular access to classified environments (SIPRNet, AFSCI) required for coordination and stakeholder engagement

Travel Requirements:

• Frequency: None at this time; however subject to change

Physical Demands:

• Prolonged periods of sitting and working at a computer workstation
• Visual acuity for detailed technical work and data analysis
• Manual dexterity for typing, coding, and operating computer equipment

Schedule and Availability:

• Core Hours: 0800-1700 EST, Monday-Friday), with occasional extended hours to meet mission deadlines or support operational events
• Flexibility: Occasional early morning or evening meetings to accommodate wing schedules across time zones
• Surge Periods: Increased hours during major milestones, events, or exercises (with advance notice)
• On-Call: Not required, but responsiveness to urgent issues expected (email/phone within 4 hours during duty hours)

• Telework: No telework eligibility for unclassified administrative tasks (Position 1); all classified work must be performed on-site in approved facilities

Security Environment:

• Work with classified information up to Top Secret/SCI level
• Compliance with OPSEC, CUI handling, and classification protocols
• Subject to security inspections, audits, and continuous evaluation
• Adherence to base access, badge, and facility security requirements

Minimum Qualifications, Certifications, and Platform Credentials:

Required Qualifications:

Education:

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Information Systems, or related technical field
• Master's degree preferred in AI/ML, Computer Science, or related discipline

Experience

• 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

Certifications (Required)

• 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)

Certifications (Preferred)

• 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

Security Clearance

• 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

Technical Skills (Required)

AI/ML Technologies:

• 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

RPA Technologies:

• 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

Programming and Development:

• 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 and Analytics:

• 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 and Infrastructure:

• 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

Security and Compliance:

• 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)

Soft Skills (Required)

• 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

Preferred Qualifications:

• 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.)

Our Equal Employment Opportunity Policy

The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.

The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.

Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.

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