AI Workbench Admin; On-site

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.

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

• 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 Dev Ops/Data Ops teams to maintain CI/CD pipelines, infrastructure automation, deployment workflows, rollback processes, and environment configuration.
• Support integrations with enterprise systems such as Service Now, 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.

• 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 , tenant segregation, identity management, and enterprise security administration.
• Experience working with Azure Dev Ops (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.

• 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.

• 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, Dev Ops, Data Ops, infrastructure operations, or AI/ML platform support.
• 3+ years of experience supporting AI, ML, GenAI, LLM, RAG, or automation platforms preferred.

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