
AI Platform Architect
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in United States.
• Lead the design, execution, and management of an enterprise AI workflow management platform supporting the Department of the Air Force.
• Design cloud infrastructure for AI workflow management systems within Azure IL-5 environments.
• Architect containerized solutions using AKS or equivalent platforms with IL-5 security measures.
• Develop PostgreSQL data architectures tailored for AI workloads.
• Establish integrations for Azure OpenAI, ServiceNow APIs, and DISA BCAP cross-boundary connections.
• Assess and integrate AI development tools into a cohesive platform architecture.
• Design API gateways, authentication and authorization frameworks, along with service mesh architectures.
• Set up RAG pipelines, vector databases, and embedding strategies.
• Create reference architectures for agentic workflows, document generation, and ML model deployment.
• Implement monitoring, logging, and alerting systems for platform health and AI service performance.
• Adopt MLOps practices, including model versioning, A/B testing, and automated retraining.
• Monitor model performance, detect drift, and ensure data quality.
• Devise disaster recovery and business continuity plans.
• Resolve integration challenges across Azure, ServiceNow, and government networks.
• Ensure platform scalability and optimize costs.
• Assist in building and leading an AI/ML engineering team.
• Engage in technical screening and onboarding processes.
• Set engineering standards, best practices, and maintain documentation.
• Promote collaboration between AI engineers, ServiceNow developers, and government stakeholders.
• Conduct design reviews and offer architectural direction.
• Collaborate with cybersecurity teams to adhere to Department of the Air Force regulations, ATO requirements, and compliance standards.
• Apply DISA STIGs, Impact Level 5 requirements, CUI controls, and data classification guidelines.
• Partner with government clients to translate mission needs into technical solutions.
• Assess LLM capabilities for RAG, document generation, and agentic workflows.
• Develop prototypes and proof-of-concept solutions for government applications.
• Establish QA frameworks covering model, integration, and user acceptance testing.
• Oversee QA processes to ensure the accuracy and reliability of AI outputs.
• Define success metrics and evaluation standards for AI-driven workflows.
• US Citizenship is mandatory.
• Must fulfill eligibility criteria for access to classified information and successfully obtain a Department of Defense (DoD) Secret Clearance, along with passing relevant background checks.
• 15+ years of relevant experience; a Bachelor’s Degree in a relevant field can substitute for 5 years of experience.
• Proven experience translating real-world use cases into deployable AI/ML solutions.
• Strong knowledge of Azure cloud services, including AI Foundry, DevOps, PostgreSQL, API Management, and networking.
• Familiarity with Docker, Kubernetes, microservices architectures, and VMs.
• Knowledge of LLM technologies, RAG architectures, vector databases, and prompt engineering techniques.
• Experience with frameworks like LangChain, LlamaIndex, TensorFlow, PyTorch, scikit-learn, or others in AI/ML.
• Understanding of API design, integration patterns, and enterprise service buses.
• Proficient in MLOps tools and practices, including model versioning, monitoring, and CI/CD processes for ML.
• Experience directly engaging with customers and comprehending mission requirements.
• Proficiency in Python and/or other AI development languages.
• Familiarity with workflow orchestration tools and business process automation.
• Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders.
• Active Secret clearance is preferred but not mandatory.
• Experience in government cloud environments such as Azure Government or AWS GovCloud is desirable.
• Familiarity with DoD compliance frameworks, including IL-4/IL-5, FedRAMP, NIST 800-53, and STIGs is preferred.
• Understanding of DISA network architectures and cross-boundary connection needs is a plus.
• Experience with ATO processes and security accreditation is advantageous.
• Experience with the ServiceNow platform is preferred.
• Flexible time off benefit.
• Comprehensive learning resources.
• Healthcare benefits.
• Wellness initiatives.
• Financial benefits.
• Retirement plans.
• Family support programs.
• Continuing education support.
• Generous time off policies.
• Competitive salary.
• Opportunities for learning and development.
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