ENTERPRISE ARCHITECT - AI ADOPTION & AGENTIC SOLUTIONS (CHARLOTTE, NC)
A family of companies and experiences
As the leading foodservice and support services company, Compass Group USA is known for our great people, great service and our great results. If you’ve been hungry and away from home, chances are you’ve tasted Compass Group’s delicious food and experienced our outstanding service. We have over 284,000 US associates who work in award-winning restaurants, corporate cafes, hospitals, schools, arenas, museums, and more in all 50 states. Our reach is constantly expanding to shape the industry and create new opportunities for innovation. Join the Compass family today!
great people. great services. great results.
Each and every individual plays a key role in the growth and legacy of our company. We know the next big idea can come from anyone. We encourage developing and attracting expertise that differentiates us as a company as we continue to raise the bar.
Job Summary:
We’re seeking an Enterprise Architect to lead AI adoption across software development teams. This role creates the shared context (standards, practices, and common services) that lets teams ship safe, reliable, and cost-effective AI features. You will define and govern our AI reference architecture, stand up platform capabilities (retrieval, orchestration, guardrails, observability), and guide the rollout of agentic AI for real business outcomes.
Responsibilities:
- Set the North Star
- Own the enterprise AI reference architecture (applications, data, security, and operations).
- Define canonical domain models and patterns for shared context: knowledge sources, metadata, embeddings, ontologies, and retrieval.
- Establish decision frameworks for build/buy, model selection, and cost/performance trade-offs.
- Create Shared Context & Platform Services
- Stand up common services: identity-aware retrieval (RAG), vector/graph storage, prompt/skill catalogs, tool/function registries, evaluation harnesses, and LLM observability.
- Provide SDKs, templates, and reference implementations so teams can adopt patterns quickly (APIs, eventing, CI/CD, IaC).
- Standards & Practices
- Publish and govern AI engineering standards: prompt patterns, tool/agent orchestration, structured outputs, evaluation/testing, telemetry, and rollout gates.
- Define SLOs/SQOs for AI features (quality, latency, cost, safety) and embed automated checks into pipelines.
- Agentic AI Delivery
- Architect agent workflows (plan–act–observe–reflect loops), tool usage, and multi-agent collaboration for real-world processes.
- Pilot high-impact use cases; turn successful patterns into reusable components.
- Risk, Security, and Compliance
- Implement guardrails for privacy, safety, IP, and data residency; integrate content filtering, PII handling, and audit trails.
- Partner with Legal, Risk, and Security on policy, red-teaming, incident response, and vendor due diligence.
- Enablement & Change Management
- Lead developer enablement: playbooks, training, office hours, internal community of practice.
- Design and deliver a developer education program on implementing agentic coding (plan–act–observe–reflect loops, tool/skill catalogs, safety guardrails, evaluation and regression testing, cost control, and SDLC integration).
- Drive citizen intelligence/development governance with safe rails and supported toolchains.
- Advise product leaders on AI opportunity sizing, success metrics, and ethical considerations.
- Education & Training (Agentic Coding)
- Lead developer enablement: playbooks, training, office hours, internal community of practice.
- Design and deliver a developer education program on implementing agentic coding (plan–act–observe–reflect loops, tool/skill catalogs, safety guardrails, evaluation and regression testing, cost control, and SDLC integration).
- Drive citizen intelligence/development governance with safe rails and supported toolchains.
- Advise product leaders on AI opportunity sizing, success metrics, and ethical considerations.
Qualifications:
- 5+ years in software/enterprise architecture; 3+ years building LLM/AI solutions at scale.
- Deep knowledge of LLM patterns: RAG, fine-tuning/adapter strategies, function/tool calling, structured output, evaluation, caching.
- Strong platform background: API design, microservices, IAM/zero-trust, observability, CI/CD, IaC (Terraform), and cost management.
- Data foundations: domain modeling, data lifecycle governance, vector/graph stores, catalog/lineage, feature stores.
- Cloud proficiency (AWS/Azure/GCP) and modern data/AI stacks (e.g., Python, Typescript, Docker/K8s, message brokers).
- Proven ability to drive standards across many teams; excellent facilitation and storytelling skills.
- Experience designing and delivering developer education (curriculum design, hands-on labs, code reviews, certification rubrics, and outcome-based evaluation).
Nice to Have
- Experience standing up internal AI platforms or Centers of Excellence.
- Background in large, distributed orgs and regulated data environments.
- Familiarity with Microsoft Copilot/M365 extensibility and citizen-developer governance.
Apply to Compass Group today!
Click here to Learn More about the Compass Story
Compass Group is an equal opportunity employer. At Compass, we are committed to treating all Applicants and Associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law.
Qualified candidates must be able to perform the essential functions of this position satisfactorily with or without a reasonable accommodation. Disclaimer: this job post is not necessarily an exhaustive list of all essential responsibilities, skills, tasks, or requirements associated with this position. While this is intended to be an accurate reflection of the position posted, the Company reserves the right to modify or change the essential functions of the job based on business necessity. We will consider for employment all qualified applicants, including those with a criminal history (including relevant driving history), in a manner consistent with all applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York Fair Chance Act. We encourage applicants with a criminal history (and driving history) to apply.
Compass Corporate maintains a drug-free workplace.
Applications are accepted on an ongoing basis.
Associates at Corporate are offered many fantastic benefits.
- Medical
- Dental
- Vision
- Life Insurance/ AD
- Disability Insurance
- Retirement Plan
- Paid Time Off
- Paid Parental Leave
- Holiday Time Off (varies by site/state)
- Personal Leave
- Associate Shopping Program
- Health and Wellness Programs
- Discount Marketplace
- Identity Theft Protection
- Pet Insurance
- Commuter Benefits
- Employee Assistance Program
- Flexible Spending Accounts (FSAs)
Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state, and local laws. For positions in Washington State, Maryland, or to be performed Remotely, click here for paid time off benefits information.
Req ID: 1466642
Compass Corporate
Bankston B Williams
[[req_classification]]
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Food Service, Hospitality