Cloud Solutions Architect (AI Integration) - SME

Role details

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. 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. Join us to drive positive, lasting change that moves missions and the government forward! 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. As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland . The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is: $106,300 - $221,100 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believ