Cloud Solutions Architect (AI Integration) - SME
Accenturefederalservices · Chantilly, VA
About this role
**Cloud Solutions Architect (AI Integration) - SME** **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. You’ll shape long-term architecture strategies, ensure reliable operation across multiple environments, and help 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 to 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 **Pay range (where applicable
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