Demo

AI Solution Architect (Private AI / AI Workbench)

DXC Technology
Washington, DC Full Time
POSTED ON 4/16/2026
AVAILABLE BEFORE 5/15/2026

Your Next Big Career Move Starts at DXC Technology


We’re Hiring: AI Solution Architect (Private AI / AI Workbench)

Location: On-Site Washington, DC

Employment Type: Full-time


At DXC, we build strong connections, embrace innovation, and empower our people to grow. We’re looking for a [Job Title] who is motivated, skilled, and eager to contribute to meaningful projects.


Job Description

DXC Technology (NYSE: DXC) helps global companies run their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private, and hybrid clouds. The world’s largest companies and public sector organizations trust DXC to deploy services across the Enterprise Technology Stack to drive new levels of performance, competitiveness, and customer experience. Learn more at DXC.com.


Location: On-site, Washington, DC.


Overview: The AI Solution Architect is accountable for end-to-end solution architecture for DXC’s AI Workbench deployed on private or hybrid infrastructure. This role designs secure, scalable AI platforms and establishes architectural guardrails across infrastructure, data pipelines, LLM/agent orchestration, integrations, and operations to meet enterprise standards and regulatory requirements.


Key Responsibilities

  • Lead architecture design for Private AI AI Workbench implementations, including compute (GPU), networking, storage, identity, and platform services.
  • Define reference architectures for agentic AI patterns (agent runtime, orchestration, tool/API access, memory, and lifecycle management).
  • Design Retrieval-Augmented Generation (RAG) architectures: ingestion, chunking, embeddings, vector databases, retrieval strategy, and evaluation approach.
  • Establish security-by-design controls: Zero Trust principles, RBAC/ABAC, encryption in transit/at rest, secrets management, tenant segregation, and audit logging.
  • Own integration design for enterprise systems (APIs, eventing, MCP-style registries/connectors), ensuring reliability, performance, and maintainability.
  • Define non-functional requirements (availability, resiliency, DR, latency, scalability) and align with ITIL/operational processes.
  • Create architecture artifacts: HLD/LLD, data flow diagrams, threat models, runbooks, and operational handover documentation.
  • Guide engineering teams through design reviews, implementation choices, and technical decision logs; mentor on best practices.
  • Support model/LLM selection and deployment patterns (private LLM endpoints, model gateways), ensuring governance and cost controls.
  • Identify risks and dependencies early and drive mitigation plans across stakeholders.


Required Qualifications

  • 8 years in solution or cloud architecture with experience delivering enterprise platforms.
  • Hands-on experience with private/hybrid cloud and container platforms (Kubernetes/OpenShift).
  • Strong security architecture experience (IAM, network segmentation, encryption, key management, logging/monitoring).
  • Experience designing data platforms/pipelines and supporting analytics/ML workloads.
  • Excellent stakeholder communication and ability to translate business needs into technical architectures.


Preferred Qualifications

  • Experience with LLM/GenAI architectures, RAG, vector databases, and evaluation techniques.
  • Experience with GPU infrastructure and performance optimization for model inference.
  • Familiarity with MLOps/LLMOps practices and CI/CD for AI workloads.
  • Industry experience in regulated environments (public sector, healthcare, financial services, defense).


Key Skills

  • Cloud & hybrid architecture, Kubernetes, Infrastructure as Code (Terraform/Ansible)
  • API design, integration patterns, event-driven architectures
  • Security engineering, threat modeling, compliance-aligned architecture
  • Observability and operational readiness (SRE/ITIL concepts)
  • GenAI patterns: RAG, prompt governance, agent frameworks (desirable)


Work Conditions

  • US-based role; on-site required, Washington, DC, area
  • Collaborates with Product Owner, Scrum Master, Engineering, DevOps/DataOps, QA, and client stakeholders
  • Active DOD Secret Clearance required
  • U.S. Citizenship required



What We Offer

  • U.S. Citizenship required
  • Competitive compensation and benefits
  • Professional growth opportunities
  • A collaborative and inclusive workplace


If this sounds like you, apply here https://dxctechnology.wd1.myworkdayjobs.com/DXCJobs/job/USA---DC---WASHINGTON/AI-Solution-Architect--Private-AI---AI-Workbench-_51577410-1 and take the next step in your DXC journey.


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About DXC:


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.

Salary.com Estimation for AI Solution Architect (Private AI / AI Workbench) in Washington, DC
$177,053 to $216,275
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