Job Description:

• Clearance: Must be a US Citizen with an active Secret Security Clearance
  
• Work Environment: on-site, 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.

• 18+ 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
  
• Work Environment: on-site, Cristal City, Arlington, VA
  

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.