Senior AI​/ML & Cloud Native Software Engineer Security Clearance

Position: Senior AI/ML & Cloud Native Software Engineer with Security Clearance
Remote Status:
On-Site
Senior AI/ML & Cloud Native Software Engineer

Location:

On-Site - Dayton

REQUIRED:

MUST BE A US CITIZEN and Active TS/SCI Clearance At Parallax, we believe in advancing science and serving the public good—and we’re looking for team members who do too. If you’re ready to support big ideas through precise execution, we encourage you to apply. Why This Role Matters
At Parallax Advanced Research, our work is rooted in innovation, collaboration, and national impact. As a nonprofit research institute, we partner with government, academic, and industry clients to solve complex challenges in AI, aerospace, human-machine teaming, and beyond. Parallax Advanced Research Mission is to deliver innovative research and provide technology, human and business solutions via The Science of Intelligent Teaming™ for government, industry and academic clients.

Parallax uses agile software development methods to deliver customized research and development software products in support of Air Force and other service missions. The Senior AI/ML & Cloud-Native Software Engineer will support the NASIC Transformation Collection within the Services of Common Concern (SoCC). This position focuses on the design, development, maintenance, and enhancement of AI/ML services and related cloud-native capabilities, including AI/ML Service, Advanced Architecture Environment (AAE) Development, Legacy Data Migration, Data Fabrication/Custom Dataflows, and Cross Domain/NASIC Object Transfer Service (NOTS).
The engineer will build and sustain a scalable AI/ML software stack, integrate modern analytic tools, support multiple mission product lines, and deploy solutions into the NASIC Unified Cloud (NUC) and other Department of the Air Force (DAF) cloud environments using the Scrum framework. In This Role, You Will: AI/ML Servies & Models
• Design, implement, and maintain scalable, maintainable, and shareable AI/ML models in alignment with government-approved datasets and requirements.

• Develop and maintain a scalable AI/ML software stack supporting the full AI/ML lifecycle (data ingestion, training, evaluation, deployment, monitoring).

• Implement reproducible training and evaluation pipelines, documenting procedures and results to support auditability and compliance reviews.

• Define and implement model retraining triggers, update procedures, and versioning practices to ensure ongoing model accuracy and reliability.

• Integrate modernized analytic tools into AI/ML capabilities and expose them through easy-to-use interfaces for mission users.

• Implement model monitoring capabilities, including user-enabled monitoring, model drift detection, and model demand tracking.

• Adhere to industry-accepted AI/ML development principles, including transparency, accountability, and responsible use of data and AI/ML.
Cloud-Native Development & CI/CD

• Design and implement scalable, cloud-native applications and services using containerization and microservices patterns consistent with NASIC’s approved technology stack.

• Integrate and deploy code and containers into the NASIC Unified Cloud (NUC) via the established CI/CD pipeline across multiple security enclaves (NIPRnet, SIPRnet, JWICS) and other cloud architectures such as DAF CLOUD works.

• Ensure secure, reliable, and repeatable deployment processes in accordance with Dev Sec Ops  best practices and applicable security/compliance standards.
Data Engineering & Legacy Migration

• Design and implement data ingestion, transformation, and custom dataflow pipelines to support AI/ML workloads and Transformation Collection services.

• Plan and execute legacy data migration into modern architectures and cloud environments, ensuring data quality, integrity, and traceability.

• Leverage diverse, relevant data sources and data types for AI/ML models, including establishing connections to future data sources as needed.

• Provide and manage access to datasets required for training, testing, and validating AI/ML models, ensuring that all data preparation steps are fully documented and reproducible.
System Integration & Enterprise Services

• Develop and integrate Transformation Collection services (AI/ML…