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Solution Architect

Job in Norfolk, Virginia, 23500, USA
Listing for: UST
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Cloud Computing, AI Engineer, Cybersecurity, Systems Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Solution Architect

Software Architect I

Who We Are:

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.

UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you'll create a boundless impact that transforms your career-and the lives of people across the world.

Visit us at

You Are:

UST is searching for a Solution Architect who will design and maintain target state AWS cloud, hybrid, and AI enabled architectures for enterprise and Digital Experience (DX) applications, including network, compute, storage, IAM, monitoring, AI/ML services, and Dev/Test/Prod environment patterns.

The opportunity:
  • Design end to end Digital Experience (DX) solution architectures, covering web, mobile, API, integration, and AI/ML augmentation layers (e.g., personalization, recommendations, intelligent search, chatbots), ensuring scalability, performance, resiliency, and seamless user experience.
  • Define AWS VPC, subnet segmentation, and IP planning, including routing, firewall, and private connectivity requirements, to support secure hybrid connectivity, DX platform integrations, and AI/ML workloads such as data ingestion, model inference, and real time decisioning.
  • Develop and standardize Infrastructure as Code (IaC) patterns and deployment pipelines, supporting cloud onboarding, DX application delivery, and AI/ML platform components (e.g., model deployment, inference endpoints, feature services) using repeatable and governed implementations.
  • Produce required architecture and onboarding artifacts for cloud, DX, and AI/ML implementations, including CCoE intake, Infosec intake, data governance alignment, Dev Ops/MLOps readiness, and operational readiness documentation.
  • Embed security by design and compliance into AWS, DX, and AI/ML solutions, including IAM role design, authentication and authorization, data protection, least privilege access, secure API design, model access controls, and protection of sensitive training and inference data.

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.

What you need:
  • Experience:
    • 8-12 years total IT experience
    • 5+ years designing and implementing AWS cloud solutions
    • 3+ years working with hybrid cloud architectures
    • 2-4 years exposure to AI/ML-enabled solutions
    • Strong experience delivering customer-facing Digital Experience (DX) platforms
    • This is a hands‑on senior technical leader, not just a strategist.
    • Architect should have the skills required to deliver the tasks described in the job description
  • Technical

    Skills:

    • Amazon Web Services, including VPC architecture, hybrid connectivity (VPN, Direct Connect, Transit Gateway), compute (EC2, ECS/EKS, Lambda), storage (S3, EBS, EFS), IAM, observability, and cost optimization.
    • Proficient in API‑first and microservices‑based Digital Experience architectures, integrating web, mobile, and real‑time services with strong performance and security controls.
    • Working knowledge of AI/ML enablement—including model deployment, inference patterns, data pipelines, and monitoring—using services such as Amazon Sage Maker and Amazon Bedrock. Strong capabilities in Infrastructure as Code (Terraform/Cloud Formation), CI/CD, containerization (Docker/Kubernetes), Dev Ops/MLOps practices, and security‑by‑design principles are essential to deliver governed, production‑ready cloud and AI‑enabled platforms.
    • Web and mobile front‑end integrations, API‑first and microservices architecture, API gateways and secure API design, event‑driven patterns, CDN and edge optimization, integration with personalization and recommendation engines, Real‑time user decisioning patterns.
    • Soft skills:

      strong stakeholder…
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