AI Solution Architect (Private AI / AI Workbench)

DXC Technology; Washington (District of Columbia); On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation and benefits

Professional growth opportunities

Collaborative and inclusive workplace

Job summary

DXC Technology is seeking a skilled AI Solution Architect in Washington, DC to design and implement solutions for DXC's AI Workbench across private and hybrid infrastructures. You'll be responsible for creating secure, scalable AI architectures, guiding engineering teams, and ensuring compliance with enterprise standards. Strong experience in cloud and security architecture is a must. The position is on-site, offering competitive compensation and professional growth opportunities.

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).

Responsibilities

• Lead architecture design for Private AI + AI Workbench implementations.
• Define reference architectures for agentic AI patterns.
• Design Retrieval-Augmented Generation (RAG) architectures.
• Establish security-by-design controls: Zero Trust principles.

Skills

Cloud & hybrid architecture

Kubernetes

Security engineering

Threat modeling

Observability

Tools

Terraform

Ansible

Job description

Your Next Big Career Move Starts at DXC Technology

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)
• Security engineering, threat modeling, compliance‑aligned architecture
• Observability and operational readiness (SRE/ITIL concepts)

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

What We Offer

• Competitive compensation and benefits
• Professional growth opportunities
• A collaborative and inclusive workplace