Senior Secure AI Platform Architect

• Architect and deploy secure, distributed platforms supporting modular, multi-service software environments.

• Design and integrate APIs, microservices, and data pipelines that enable interoperability across mission, simulation, and analytical systems.

• Define and enforce architectural principles, modularity standards, and software best practices across development teams.

• Engineer solutions that bridge cloud, on-prem, and classified enclaves, ensuring interoperability and compliance.

• Engineer cloud-native solutions in AWS Gov Cloud or hybrid IL4–IL6 environments with strict security and accreditation requirements.

• Implement Infrastructure-as-Code (Terraform, Cloud Formation, or CDK) to automate provisioning, configuration, and accreditation workflows.

• Build and maintain CI/CD pipelines that embed security, compliance, and automated testing from development through deployment.

• Ensure all platform designs support zero-trust principles, multi-enclave deployment, and repeatable accreditation (ATO) processes.

• Design or oversee large-scale data ingestion, transformation, and orchestration environments (Kafka, Airflow, Spark, or Databricks).

• Shape data architectures that balance throughput, latency, and cost across distributed mission environments.

• Enable secure and efficient data access and synchronization across analytical, AI-enabled, and simulation workloads.

• Transition software and platforms from prototype to production, ensuring maintainability, observability, and configuration consistency.

• Establish automated testing, release governance, and performance monitoring standards for ongoing sustainment.

• Engineer architectures for redundancy and resilience under degraded or disconnected operational conditions.

• Design and maintain secure enclave architectures, boundary controls, and cross-domain integration solutions.

• Collaborate with cybersecurity and ISSM teams to support ATO and ongoing accreditation automation.

• Integrate emerging technologies, open standards, and modern frameworks into operational systems.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or related technical field (Master’s preferred).
• 10–15 years of progressive software engineering experience, with at least 5 years in a technical leadership or architecture role.
• Proven success architecting and deploying secure, distributed, cloud-native software platforms.
• Deep experience with AWS Gov Cloud or IL4–IL6 hybrid environments.
• Hands-on proficiency with Infrastructure-as-Code (Terraform, Cloud Formation, or CDK) and CI/CD automation.
• Strong understanding of Dev Sec Ops , zero-trust principles, and mission accreditation (ATO/RMF) processes.
• Demonstrated ability to operationalize software systems from prototype through accreditation in secure environments.
• Strong coding experience in one or more core languages (Python, Java, C++, Type Script).

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Hard Skills

• Software Engineering
• API Design and Integration
• Microservices Architecture
• Data Pipeline Engineering
• Coding in Python, Java, C++, Type Script