Jobs · Engineering · Virginia

Cloud Solutions Architect (AI Integration) - SME

Accenture Federal Services · Chantilly, VA · 1 mo ago
Engineering$106k–$221k/yrFull-time
We need to output HTML fragment with sections for About the role? Actually we need to use headings for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must include only sections that have real specific content. The posting includes: "Who you'll be:" description (role summary) maybe "About the role". Then "What you'll do:" responsibilities. Then "What you need:" requirements/qualifications/skills. Then "Nice to have:" maybe additional qualifications. Then compensation/pay info. Benefits: mention "Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here." That's vague, not specific benefits list. According to rule: do NOT create Benefits section unless posting actually states them. It says offers a wide variety of benefits but no specifics; that may be considered not specific enough? The rule: never create Benefits section unless posting actually states them. It states they offer benefits but not list. Likely we should not include Benefits section because no specific benefits listed. Pay: they give pay range for certain locations. So we can include Pay section with that range. Schedule: not mentioned. So omit. We need to use

for section headings. Use
  • for any list of duties/requirements/benefits. Use

    for prose. We must not repeat job title as heading. Not include Job ID etc. Remove boilerplate. We need to preserve all substantive information. So we need to include the role summary, responsibilities list, requirements list (including "What you need:" bullet-like items), nice to have maybe as part of Requirements or separate? Could be included under Requirements as additional qualifications. But we need to decide sections: About the role (summary), Responsibilities, Requirements (including both required and nice-to-have?), Pay. We need to extract content. Let's parse: About the role / 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." That's prose. Responsibilities (What you'll do): list bullet points: - 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. These are substantive. Requirements (What you need): It appears as a long list of bullet-like items but not formatted as bullets in source. It's a paragraph with many items separated by line breaks? Actually the text shows: "What you need: In-house custom developed applicationAdvanced AI, GenAI & Multi-Model EngineeringMulti-model and multi-modality orchestration (reasoning, perception, memory, tool execution)Temporal, spatial, geographic, quantitative, and computer vision AI implementationNamed Entity Recognition (NER), contextual entity extraction, and resolutionMulti-step retrieval and structured output generationComplex data parsing and streamlined ingestionDeep source citation and traceable analytic outputsData Architecture & ETLVector, graph, and multi-database orchestrationAutomated ETL pipeline creation, scheduling, and optimizationAttribute-Based Access Control (ABAC) at the data layerProvenance and end-to-end data lineage trackingSchema aligned ingestion and normalization of diverse structured and unstructured dataEnterprise Infrastructure & Cross-Domain SolutionsAir-gapped, hybrid, and on-premise operational environmentsContainer orchestration and distributed systems management (Kubernetes)Locally hosted GPU servers and hyperconverged nodesMultitenant Cross-Domain Solutions (CDS)Application Development & IntegrationUI, 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 servicesUse of modern programming languages and frameworksBachelor's degree10+ 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." That is a massive run-on. We need to break into sensible list items. Probably each phrase separated by a capital letter after a period? But we need to preserve all substantive information; we can convert to list items by splitting on periods where appropriate. However we must not invent or summarize away detail. We can keep as a paragraph? But rule: Use

    • for any list of duties/requirements/benefits. So we need to make a list for requirements. We can parse the bullet-like items: The text seems to have categories: "In-house custom developed application", "Advanced AI, GenAI & Multi-Model Engineering", "Multi-model and multi-modality orchestration (reasoning, perception, memory, tool execution)", etc. It's messy. We could treat each sentence as a list item. Let's identify sentences: 1. "In-house custom developed application" 2. "Advanced AI, GenAI & Multi-Model Engineering" 3. "Multi-model and multi-modality orchestration (reasoning, perception, memory, tool execution)" 4. "Temporal, spatial, geographic, quantitative, and computer vision AI implementation" 5. "Named Entity Recognition (NER), contextual entity extraction, and resolution" 6. "Multi-step retrieval and structured output generation" 7. "Complex data parsing and streamlined ingestion" 8. "Deep source citation and traceable analytic outputs" 9. "Data Architecture & ETL" 10. "Vector, graph, and multi-database orchestration" 11. "Automated ETL pipeline creation, scheduling, and optimization" 12. "Attribute-Based Access Control (ABAC) at the data layer" 13. "Provenance and end-to-end data lineage tracking" 14. "Schema aligned ingestion and normalization of diverse structured and unstructured data" 15. "Enterprise Infrastructure & Cross-Domain Solutions" 16. "Air-gapped, hybrid, and on-premise operational environments" 17. "Container orchestration and distributed systems management (Kubernetes)" 18. "Locally hosted GPU servers and hyperconverged nodes" 19. "Multitenant Cross-Domain Solutions (CDS)" 20. "Application Development & Integration" 21. "UI, backend, and middleware engineering (TypeScript, React, Python, FastAPI, LanceDB, lance graph, PostgreSQL, Temporal.io, Docker, Kubernetes)" 22. "Integration of reasoning components, retrieval systems, databases, and AI / GenAI services" 23. "Use of modern programming languages and frameworks" 24. "Bachelor's degree" 25. "10+ years of experience in cloud architecture, engineering, or related technical leadership roles." 26. "Deep expertise with major cloud platforms and hybrid/on-prem environments." 27. "Strong understanding of secure architecture frameworks, including zero trust." 28. "Experience supporting AI/ML workloads and high-performance compute environments." 29. "Proficiency with Infrastructure as Code and DevSecOps toolsets." 30. "Strong communication skills and ability to translate technical concepts for leadership." That seems comprehensive. We'll output as
      • each. 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." We could include these as part of Requirements or separate section? Since we have Requirements section, we could add a sublist or just include them as additional list items under Requirements. But rule: Use
        • for any list of duties/requirements/benefits. It's okay to have one list for requirements that includes both required and nice-to-have? Might be confusing. Better to have Requirements section for required qualifications, and maybe a separate "Preferred Qualifications" but we only have allowed headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We could use "Qualifications" for required and "Skills" for nice-to-have? But we need to follow instruction: include a section ONLY when posting has real, specific content for it. We have content for Requirements (the long list). We also have content for Skills? The nice-to-have could be considered Skills. But we could also put them under Requirements as part of list. However to avoid missing info, we can include them under Requirements as well, maybe label them as "Nice to have" within list items? But we cannot add extra text not in posting. We could just include them as list items; they are still part of the posting. So we can combine required and nice-to-have into one list under Requirements. That preserves all info. Pay: we have pay range: "$106,300—$221,100 USD" for certain locations. Also note: "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" We need to preserve all substantive information. So Pay section should include that explanation and the range. We can put a

          with the explanation and then maybe the range as separate

          or within same. We should not include Benefits section because no specific benefits listed. Schedule: none. Thus output:

          About the role

          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.

          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.

          Requirements

          • In-house custom developed application
          • Advanced AI, GenAI & Multi-Model Engineering
          • Multi-model and multi-modality orchestration (reason

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