AI Workbench Admin (Hybrid)

DXC Technology; Ashburn (VA); Hybrid; USD 84,000 - 157,000; Full time

Job summary

DXC Technology is seeking an experienced AI Platform Administrator to manage the AI Workbench across hybrid environments and cloud platforms. The role requires security clearance and US citizenship, with on-site work in Crystal City, Arlington, VA, and periodic remote collaboration.

You will configure access, lifecycle management for AI agents, and ensure governance while coordinating with DevOps, security teams, and client stakeholders to deliver reliable AI solutions.

Qualifications

• US citizenship with an active Secret clearance.
• Experience delivering AI platform administration and DevOps for enterprise environments.
• Strong collaboration with architects, engineers, product owners, and security teams.

Responsibilities

• Administer and maintain the AI Workbench platform across private, on-premise, hybrid, or cloud environments.
• Configure user access, RBAC, tenant segregation, permissions, and platform security settings.
• Support onboarding of users, teams, agents, workflows, APIs, data sources, and LLM connections.
• Monitor platform health, availability, security, performance, usage, and operational metrics.
• Manage AI agent lifecycle activities: registration, configuration, deployment, versioning, readiness.
• Support RAG-based retrieval layers, vector databases, embedding, and knowledge bases.
• Coordinate with DevOps/DataOps to maintain CI/CD pipelines and environment config.
• Integrations with ServiceNow, SAP, SharePoint, APIs, MCP registries, data sources, and private LLM services.
• Maintain governance controls for prompts, agents, workflows, data access, naming, tagging, and auditing.

Skills

RBAC

Azure OpenAI

Kubernetes

Azure DevOps

Security administration

Cloud platforms

LLM/Agentic AI understanding

Education

Master’s degree in Computer Science/IT/Data AI/Cybersecurity

10+ years of enterprise platform administration / cloud ops

Tools

LiteLLM

Kong

Dagster

Langfuse

Milvus

Chroma

Pinecone

Azure DevOps

Job description

Job Description

DXC Technology (NYSE: DXC) is a leading enterprise technology and innovation partner delivering software, services, and solutions to global enterprises and public sector organizations — helping them harness AI to drive outcomes at a time of exponential change with speed. With deep expertise in Managed Infrastructure Services, Application Modernization, and Industry‑Specific Software Solutions, DXC modernizes, secures, and operates some of the world’s most complex technology estates. Learn more on dxc.com.

Additional Information

• Clearance: Must be a US Citizen with an active Secret Security Clearance
• Work Environment: Hybrid, on-site 2-3 days, Cristal City, Arlington, VA

Key Responsibilities

• Administer and maintain the AI Workbench platform across private, on-premise, hybrid, or cloud environments.
• Configure user access, role-based access control, tenant-level segregation, permissions, and platform security settings.
• Support onboarding of users, teams, agents, workflows, APIs, data sources, and LLM connections.
• Monitor platform health, availability, security, performance, usage, and operational metrics.
• Manage and support AI agent lifecycle activities, including agent registration, configuration, deployment, versioning, and operational readiness.
• Support RAG-based retrieval layers, vectorized knowledge bases, document ingestion pipelines, and data preprocessing workflows.
• Coordinate with DevOps/DataOps teams to maintain CI/CD pipelines, infrastructure automation, deployment workflows, rollback processes, and environment configuration.
• Support integrations with enterprise systems such as ServiceNow, SAP, SharePoint, APIs, MCP registries, data sources, and private LLM services.
• Maintain governance controls for prompts, agents, workflows, data access, naming conventions, tagging, audit logging, and policy adherence.

Required Skills

• Strong experience working with open source AI architecture admin components including LiteLLM, Kong, Dagster orchestration, Langfuse, AI search, etc.
• Experience with RAG architecture, document ingestion, vector databases (Milvus, Chroma, Pinecone, etc.), knowledge bases, embeddings, and retrieval workflows.
• Solid knowledge of access control, RBAC, Entra ID, tenant segregation, identity management, and enterprise security administration.
• Experience working with Azure DevOps (ADO) to deploy the container images to the MCP registry.
• Strong understanding of Azure Open AI services, Azure PostgreSQL, Azure Blob Storage containers, Azure Application Gateway.
• Understanding of Generative AI, Agentic AI, LLMs, private LLM deployments, AI agents, and prompt lifecycle management.
• Excellent working knowledge of cloud platforms such as Azure, AWS, GCP, or Oracle Cloud OCI.
• Experience with Kubernetes, Argo CD, containers, container orchestration, and platform runtime management.
• Understanding of data privacy, encryption, secure key management, data masking, data residency, and audit logging.
• Ability to monitor platform performance, troubleshoot issues, analyze logs, and coordinate incident resolution.
• Strong collaboration skills with architects, engineers, testers, product owners, business analysts, security teams, and client stakeholders.

Nice-to-Have Skills

• Experience with NVIDIA-based AI infrastructure, GPU farms, model inference services, or accelerated compute environments.
• Knowledge of API management, authentication, authorization, and secure integration patterns.
• Understanding of zero-trust architecture, OWASP Top 10, secure software delivery, and enterprise compliance frameworks.

Preferred Background

• Master’s degree in Computer Science, Information Technology, Data Engineering, Artificial Intelligence, Cybersecurity, or a related field, or equivalent professional experience.
• 10+ years of experience in enterprise platform administration, cloud operations, DevOps, DataOps, infrastructure operations, or AI/ML platform support.
• 3+ years of experience supporting AI, ML, GenAI, LLM, RAG, or automation platforms preferred.

Compensation at DXC is influenced by an array of factors, including but not limited to the experience, job-related knowledge, skills, competencies, as well as contract-specific affordability and organizational requirements. A reasonable estimate of the current compensation range for this position is $84,400 - $156,700.

Full-time hires are eligible to participate in the DXC benefit program. DXC offers a comprehensive, flexible, and competitive benefits program which includes, but is not limited to, health, dental, and vision insurance coverage; employee wellness; life and disability insurance; a retirement savings plan, paid holidays, paid time off.

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

If you are an applicant from the United States, Guam, or Puerto Rico

DXC Technology Company (DXC) is an Equal Opportunity employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, pregnancy, veteran status, genetic information, citizenship status, or any other basis prohibited by law. View postings below.

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