Cloud Solutions Architect (AI Integration) - SME
About The Position
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!
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
- hands-on experience
- certifications
- industry training
- Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
