AI Workbench Admin (On-site)

DXC Technology; Virginia (MN); On-site; USD 140,000 - 210,000; Full time

Job summary

DXC Technology is seeking an experienced AI Platform Administrator to manage the AI Workbench across on-prem, private cloud, and hybrid deployments. You will configure access controls, security settings, and tenant segregation while supporting onboarding of users, teams, and LLM connections.

You will monitor health, security, and performance, manage agent lifecycles, and support RAG retrieval layers, document ingestion, and data preprocessing workflows.

Qualifications

• Experience administering AI platforms with on-premise, cloud, or hybrid environments.
• Knowledge of RBAC, Entra ID, and tenant segregation in enterprise settings.
• Experience integrating with CI/CD pipelines and DevOps tools to deploy AI infrastructure.

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.

Skills

Open source AI

LiteLLM

Kong

Dagster

Langfuse

Vector databases

RBAC

Entra ID

Azure DevOps

Cloud platforms

Kubernetes

Security governance

Education

Master’s degree in Computer Science or related field

Tools

Azure DevOps (ADO)

Kubernetes

Argo CD

Milvus

Chroma

Pinecone

Langfuse

ServiceNow

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.

• Clearance: Must be a US Citizen with an active Secret Security Clearance

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.


• 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.

Additional Information:

• Clearance: Must be a US Citizen with an active Secret Security Clearance