AI Workbench Admin (On-site)

DXC Technology•Ashburn, VA

9d•Onsite

About The Position

DXC Technology is seeking an AI Workbench Admin to administer and maintain the AI Workbench platform across various environments. This role involves configuring user access, supporting user and agent onboarding, monitoring platform health, and managing the AI agent lifecycle. The position also supports RAG-based retrieval layers, CI/CD pipelines, and integrations with enterprise systems, while maintaining governance controls for AI assets.

Requirements

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 Haves

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.

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.