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Sr System Architect

Job in Washington, District of Columbia, 20022, USA
Listing for: CAVA - Support Center
Full Time position
Listed on 2026-09-04
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Systems Engineer, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 180000 - 230000 USD Yearly USD 180000.00 230000.00 YEAR
Job Description & How to Apply Below

At CAVA we make it deliciously simple to eat well and feel good every day. We are guided by a Mediterranean heritage that’s been perfecting how to eat and live for four thousand years. We prioritize authenticity, curiosity and the pursuit of excellence in everything we do. We are working towards something big, together.

We foster a culture built on five core values:
  • Generosity First:
    We lead with kindness. Our best work happens when we act in service of others.
  • Constant Curiosity:
    We are eager to learn, grow, and explore beyond the obvious.
  • Act with Agility:
    We welcome change; it’s the only constant. We embrace, adjust, adapt.
  • Passion for Positivity:
    We greet each day with warmth and possibility.
  • Collective Ambition:
    We have high aspirations that are achieved when we work together with a shared purpose.
Solution Architect

The Solution Architect, Innovation & Intelligence is a technical leadership role responsible for shaping innovative solutions across CAVA’s restaurants and broader business.

This role will identify opportunities to improve restaurant operations, guest experiences, team member experiences, and enterprise productivity through emerging technology, artificial intelligence, and automation. The architect will translate business needs into scalable, secure, and practical solutions that can be tested, measured, and expanded across the organization.

What You’ll Do:
  • Partner with restaurant operations, product, engineering, data, marketing, finance, supply chain, and other teams to identify innovation opportunities.
  • Translate business challenges into technical strategies, solution designs, prototypes, and implementation plans.
  • Architect solutions that improve restaurant operations, guest experiences, team member experiences, and enterprise productivity.
  • Evaluate and apply AI, intelligent agents, workflow automation, computer vision, sensors, connected devices, and other emerging technologies.
  • Lead technical discovery, proofs of concept, and pilots, with clear success measures and paths to scale.
  • Design secure integrations across restaurant systems, cloud platforms, enterprise applications, data platforms, edge technologies, and third-party services.
  • Establish reusable architecture patterns for AI, automation, integrations, and emerging technology.
  • Assess the technical, operational, financial, and organizational impact of proposed solutions.
  • Guide engineering teams through implementation and ensure alignment with architectural standards.
  • Incorporate security, privacy, resilience, observability, responsible AI, and data governance into solution designs.
  • Create and maintain architecture diagrams, decision records, integration patterns, and implementation guidance.
  • Communicate technical opportunities, risks, and tradeoffs to technical and non-technical stakeholders.
  • Evaluate vendors, platforms, and technologies based on business value, architectural fit, scalability, cost, and long-term ownership.
  • Stay current on AI, restaurant technology, automation, and broader industry trends.
The

Qualifications:
  • 10 or more years of experience in software engineering, architecture, data, automation, or related technology fields.
  • 3 or more years of experience designing and delivering complex enterprise solutions.
  • Experience applying AI, automation, or emerging technology to solve business and operational problems.
  • Experience architecting solutions across cloud, APIs, events, data platforms, enterprise systems, edge systems, and third-party technologies.
  • Strong understanding of AI solution architecture, including model integration, data grounding, evaluation, monitoring, security, and governance.
  • Experience with restaurant, retail, hospitality, supply chain, or other distributed operating environments is preferred.
  • Familiarity with technologies such as point of sale, kitchen systems, labor systems, inventory systems, sensors, connected devices, or edge computing is preferred.
  • Hands-on experience with AWS or a similar cloud platform, container technologies, and modern application architectures.
  • Development experience with Python, Node.js, Java, Go, or similar languages.
  • Experience defining API, event-driven, and integration strategies at…
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