AI Architect (Salary)

Sherwood Bedding•Orlando, FL

26d•Onsite

About The Position

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. 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.

Requirements

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.

Nice To Haves

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.

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.
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.
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.
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.