Cloud Solutions Architect (AI Integration) - SME
Job Description
<div class="content-intro"><div> <div> </div> <div>At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. </div> <div> </div> <div>Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. </div> <div> </div> <div>Join us to drive positive, lasting change that moves missions and the government forward!</div> <div> </div> </div></div><p><strong>Who you'll be:</strong></p> <p>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.</p> <p><strong>What you'll do:</strong></p> <ul> <li>Lead the design of secure cloud and hybrid architectures that support AI workloads and enterprise systems.</li> <li>Develop technology roadmaps and standards that guide long-term cloud and AI strategy.</li> <li>Ensure systems across cloud, on-premise, and multi-enclave environments integrate smoothly and securely.</li> <li>Establish best practices for automation, Infrastructure as Code, and DevSecOps processes.</li> <li>Support governance for AI models and data to ensure compliance and responsible use.</li> <li>Evaluate emerging technologies and recommend solutions that enhance performance and security.</li> <li>Guide modernization and cloud migration efforts across legacy environments.</li> <li>Advise leadership on technical risks, opportunities, and strategic decisions.</li> </ul> <p><strong>What you need:</strong></p> <ul> <li>In-house custom developed application</li> <li>Advanced AI, GenAI & Multi-Model Engineering <ul> <li>Multi-model and multi-modality orchestration (reasoning, perception, memory, tool execution)</li> <li>Temporal, spatial, geographic, quantitative, and computer vision AI implementation</li> <li>Named Entity Recognition (NER), contextual entity extraction, and resolution</li> <li>Multi-step retrieval and structured output generation</li> <li>Complex data parsing and streamlined ingestion</li> <li>Deep source citation and traceable analytic outputs</li> </ul> </li> <li>Data Architecture & ETL <ul> <li>Vector, graph, and multi-database orchestration</li> <li>Automated ETL pipeline creation, scheduling, and optimization</li> <li>Attribute-Based Access Control (ABAC) at the data layer</li> <li>Provenance and end-to-end data lineage tracking</li> <li>Schema aligned ingestion and normalization of diverse structured and unstructured data</li> </ul> </li> <li>Enterprise Infrastructure & Cross-Domain Solutions <ul> <li>Air-gapped, hybrid, and on-premise operational environments</li> <li>Container orchestration and distributed systems management (Kubernetes)</li> <li>Locall