Cloud Solutions Architect (AI Integration) - SME

Accenture Federal Services • Chantilly, VA

1d • $106,300 - $221,100

About The Position

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.

Requirements

• 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 Haves

• 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.

Responsibilities

• 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.

Benefits

• You can find more information on benefits here.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior