AI/RPA Solutions Architect

Koniag Government Services, LLC•Hampton, VA

7d•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, 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.

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)
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
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
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)
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

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)
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
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
Familiarity with additional languages: PowerShell, JavaScript, C#, or Java (preferred)
Big data technologies - Spark, Hadoop, or cloud-native data platforms (preferred)
Infrastructure as Code: Terraform, ARM templates, or equivalent (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.)