AI Architect (Salary)

Sherwood Bedding; Orlando (FL); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision, and life ins.

Paid time off

Paid holidays

Job summary

Sherwood Bedding seeks an experienced AI Architect to design, govern, and scale its enterprise AI ecosystem in a hands-on, senior role based in Orlando. You will define the AI operating model, architect the platform, and deliver production-grade agents across manufacturing operations.

Working with leadership and teams across manufacturing, supply chain, quality, finance, and sales, you will build integrations, enforce governance, and drive measurable improvements in productivity and quality.

Qualifications

• Demonstrated experience designing, building, and operating AI agents or generative AI applications in production.
• Deep hands-on expertise with the Microsoft enterprise stack: Microsoft 365 Copilot, Copilot Studio, Power Platform, Azure AI services, Fabric, Dataverse, SharePoint, and Teams.
• Experience with at least one non-Microsoft AI platform (e.g., OpenAI, Anthropic, Google, AWS).
• Strong experience with API integrations, custom connectors, authentication, and data pipelines across enterprise systems.
• Practical understanding of AI governance, evaluation, security, and production monitoring.
• Ability to communicate clearly with executives, technical teams, and front-line employees, translating business problems into AI solutions.

Responsibilities

• Own the enterprise AI operating model, roadmap, and architecture—setting standards for design, security, compliance, and lifecycle management.
• Serve as the primary advisor to leadership on AI capabilities, risks, ROI, and platform investment decisions.
• Design, build, and deploy production AI agents, copilots, and intelligent workflows across operations, finance, supply chain, and commercial functions.
• Define tenant-level standards for agent deployment, identity, permissions, DLP, data residency, and governance.

Skills

AI architecture design

Microsoft enterprise stack

communication with executives

production-grade agents

governance & security

Tools

Power Platform

Azure AI

Dataverse

SharePoint

Teams

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Professional Orlando, FL, US

4 days ago Requisition ID: 1277

AI Architect

Manufacturing Operations | Enterprise AI & Automation | Orlando, Florida | On-Site

We are seeking an experienced AI Architect to design, govern, and scale our enterprise AI ecosystem. This is a senior, hands-on role for a builder-leader who can define the AI operating model, architect the platform, ship production-grade agents, and drive measurable business outcomes across a multi-plant manufacturing environment.

About the Role

The AI Architect owns how AI is designed, deployed, governed, and scaled across the company. The position spans strategy and execution — setting standards and architecture on one hand, and personally building agents, integrations, and automations on the other. The role partners closely with leadership and functional teams across manufacturing, supply chain, quality, maintenance, finance, sales, customer service, and corporate operations.

This is not a project-implementer role. It is the AI operating-model owner for the enterprise.

Key Responsibilities

• Own the enterprise AI operating model, roadmap, and architecture — setting standards for design, security, compliance, and lifecycle management.
• Serve as the primary advisor to leadership on AI capabilities, risks, ROI, and platform investment decisions.

Agent Development & AI Solutions

• Design, build, and deploy production AI agents, copilots, and intelligent workflows across operations, finance, supply chain, and commercial functions.
• Engineer prompt frameworks, orchestration logic, multi-agent handoffs, and a reusable component library that accelerates future deployments.
• Architect and administer solutions across Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Azure OpenAI, Power Platform, Fabric, and Dataverse.
• Define tenant-level standards for agent deployment, identity, permissions, DLP, data residency, and governance.
• Design and implement API-driven integrations between AI solutions and ERP, HRIS, quality, maintenance, and other core business systems.
• Apply modern interoperability patterns — REST, GraphQL, event-driven, MCP, and RAG — to connect AI securely to enterprise data.

AI Governance, Evaluation & Production Monitoring

• Establish governance for AI agents, models, and automations — covering intake, approval, versioning, evaluation, and decommissioning.
• Monitor production AI for quality, drift, cost, and business outcomes; implement auditability and responsible-AI controls.

Operational Improvement & Change Leadership

• Partner with plant, functional, and executive leaders to identify and prioritize high-value AI opportunities.
• Drive cross-functional adoption tied to measurable outcomes — productivity, quality, throughput, and decision-making.

Qualifications

Required

• Demonstrated experience designing, building, and operating AI agents, copilots, or generative AI applications in production — not just chatbots, pilots or demos.
• Deep, hands-on expertise with the Microsoft enterprise stack: Microsoft 365 Copilot, Copilot Studio, Power Platform, Azure AI services, Fabric, Dataverse, SharePoint, and Teams.
• Meaningful working experience with at least one non-Microsoft AI platform (e.g., OpenAI, Anthropic, Google, AWS, or open-source LLM ecosystems).
• Strong experience with API integrations, custom connectors, authentication, and data pipelines across enterprise systems.
• Practical understanding of AI governance, evaluation, security, and production monitoring.
• Ability to communicate clearly with executives, technical teams, and front-line employees, and to translate business problems into AI solutions.

Preferred

• Experience with agent frameworks and interoperability standards (e.g., MCP, LangChain, Semantic Kernel, AutoGen).
• Experience with retrieval systems, vector databases, and enterprise knowledge grounding.
• Experience integrating AI with ERP, or shop-floor systems in a manufacturing or supply-chain environment.
• Experience defining enterprise AI architectures spanning multiple vendors, models, and data platforms.
• Manufacturing, distribution, or multi-site operations experience.

Location & Work Arrangement

Location: Orlando, Florida. This is an on-site role in a manufacturing environment.

Salary range: commensurate with experience and the scope of enterprise ownership.

Benefits may include:

• Medical, dental, vision, and life insurance options
• Paid time off and paid holidays

Equal Opportunity Employer

We are an Equal Opportunity Employer and consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, veteran status, age, genetic information, or any other status protected by applicable law.