Who you'll be:

The Cloud Solutions Architect (AI Integration) provides expert leadership in designing and guiding secure, scalable cloud and hybrid technology solutions that support advanced AI capabilities. This role shapes long-term architecture strategies, ensures systems work reliably across multiple environments, and helps the organization safely adopt modern AI and cloud technologies.

What you'll do:

• Lead the design of secure cloud and hybrid architectures that support AI workloads and enterprise systems.
• Develop technology roadmaps and standards that guide long-term cloud and AI strategy.
• Ensure systems across cloud, on-premise, and multi-enclave environments integrate smoothly and securely.
• Establish best practices for automation, Infrastructure as Code, and DevSecOps processes.
• Support governance for AI models and data to ensure compliance and responsible use.
• Evaluate emerging technologies and recommend solutions that enhance performance and security.
• Guide modernization and cloud migration efforts across legacy environments.
• Advise leadership on technical risks, opportunities, and strategic decisions.

What you need:

• In-house custom developed application
• Advanced AI, GenAI & Multi-Model Engineering
  • Multi-model and multi-modality orchestration (reasoning, perception, memory, tool execution)
  • Temporal, spatial, geographic, quantitative, and computer vision AI implementation
  • Named Entity Recognition (NER), contextual entity extraction, and resolution
  • Multi-step retrieval and structured output generation
  • Complex data parsing and streamlined ingestion
  • Deep source citation and traceable analytic outputs
• Data Architecture & ETL
  • Vector, graph, and multi-database orchestration
  • Automated ETL pipeline creation, scheduling, and optimization
  • Attribute-Based Access Control (ABAC) at the data layer
  • Provenance and end-to-end data lineage tracking
  • Schema aligned ingestion and normalization of diverse structured and unstructured data
• Enterprise Infrastructure & Cross-Domain Solutions
  • Air-gapped, hybrid, and on-premise operational environments
  • Container orchestration and distributed systems management (Kubernetes)
  • Locally hosted GPU servers and hyperconverged nodes
  • Multitenant Cross-Domain Solutions (CDS)
• Application Development & Integration
  • UI, backend, and middleware engineering (TypeScript, React, Python, FastAPI, LanceDB, lance graph, PostgreSQL, Temporal.io, Docker, Kubernetes)
  • Integration of reasoning components, retrieval systems, databases, and AI / GenAI services
  • Use of modern programming languages and frameworks
• Bachelor's degree
• 10+ years of experience in cloud architecture, engineering, or related technical leadership roles.
• Deep expertise with major cloud platforms and hybrid/on-prem environments.
• Strong understanding of secure architecture frameworks, including zero trust.
• Experience supporting AI/ML workloads and high-performance compute environments.
• Proficiency with Infrastructure as Code and DevSecOps toolsets.
• Strong communication skills and ability to translate technical concepts for leadership.

Nice to have:

• Experience in classified or multi-enclave environments.
• Cloud architecture certifications (e.g., Azure, AWS, GCP).
• Background with AI/ML platforms, data engineering, or HPC systems.
• Advanced degree in a related technical field.

Eligibility:

• Active Top Secret clearance or higher required