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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # IT AI Enterprise Architect - **Company:** Xerox - **Location:** Lexington, KY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Business Analytics Applications, Application Integration Architecture, Computing Platforms, Microsoft Azure, Cloud Computing, Cloud Engineering, Data Architecture, Information Systems Security Architecture Professional, Machine Learning, Microsoft Office, Scaled Agile Framework, Software Engineering, Data Streaming, Systems Integration, Feature Store, Grafana, IT Architecture, AI Platforms, Machine Learning Operations, Azure AI, Api Design, Model Explainability, Api Management, Serverless Computing, Servicenow - **Published:** October 14, 2026 - **Apply:** https://www.dice.com/job-detail/b1ef649c-525f-4e2d-ad33-77dce46fddaa ## About the Role * 5-10+ years of experience in enterprise, solution, or platform architecture roles. * Senior-level experience designing or integrating AI, ML, automation, or analytics solutions. * Strong understanding of Azure AI, cloud-native services, integration patterns, and API design. * Deep understanding of AI solution lifecycle and data architecture needs. * Experience working within a SAFe (Scaled Agile Framework) environment, supporting ARTs and PI Planning. * Strong communication and leadership capability to influence across organizational boundaries. * Demonstrated ability to mentor engineers and other architects. Preferred Qualifications * Experience with Responsible AI frameworks, ML risk, and AI governance practices. * Familiarity with vector databases, embeddings, and retrieval-augmented AI architectures. * Experience evaluating AI/ML vendors, platforms, and third-party solutions. Core Competencies * Enterprise & Solution Architecture * AI & Cloud Architecture (Azure preferred) * SAFe Architectural Runway & PI Participation * Leadership & Mentorship * Standards Creation & Governance Influence * Strategic Thinking & Technical Road Mapping #LI-ZD1 ## Description Xerox is looking for an AI Enterprise Architect as a technical leader responsible for defining, owning, and advancing the enterprise-wide architecture for AI platforms, solutions, and integrations. This role provides architectural leadership across the organization, ensuring AI initiatives are built on scalable, secure, and standards-based foundations that support long-term business and technology strategy. based foundations that support long-term business and technology strategy. As a key member of the AI Enablement & Enterprise Architecture organization, the AI Enterprise Architect partners closely with the AI Office, AI Portfolio Manager, Enterprise Architects, Solution Architects, and Agile Release Trains (ARTs) to shape the future AI landscape. The architect influences AI governance, drives architectural standards, evaluates internal and external AI solutions, and helps align AI capabilities with enterprise strategy. This role operates in a SAFe aligned environment, representing AI architecture in PI Planning, maintaining architectural runway, and guiding teams through the architecture needed to deliver high-value AI solutions. The role requires senior-level vision, leadership, and mentoring capabilities. Key Responsibilities Enterprise AI Architecture Ownership * Own and maintain the IT and enterprise AI architecture strategy, reference architectures, standards, and blueprint patterns. * Define architecture guardrails for AI integration, model lifecycle, data flows, and AI-enabled applications. * Balance AI platform and solution architecture needs, ensuring both are aligned with enterprise strategy. * Work within Enterprise Architecture to ensure AI architecture aligns with cloud, data, application, and security architectures. Solution Architecture & Technical Leadership * Provide solution-level AI architecture for projects, including conceptual, logical, and technical designs. * Evaluate and guide AI model selection, deployment approaches, API integrations, orchestration logic, and data flows. * Review and approve AI-related architectures and designs delivered by internal teams or external vendors. * Ensure solutions meet requirements for scalability, availability, security, maintainability, and extensibility. * Influence the design of AI platform components such as feature stores, vector databases, observability tools, and integration layers. Governance, Security & Responsible AI * Participate in AI governance activities led by the AI Office. * Influence standards for responsible AI, bias mitigation, model explainability, and ethical AI practices. * Collaborate with security, privacy, and compliance teams to ensure AI systems adhere to enterprise policies. * Define technical standards for AI integration, API usage, application design, and cloud-native patterns. Enterprise SAFe Alignment * Represent AI architecture in PI Planning, Architecture Sync, System Demos, and Inspect & Adapt sessions. * Define and maintain the AI architectural runway to support upcoming features, capabilities, and enablers. * Provide architectural guidance to multiple Agile Release Trains (ARTs) across the enterprise. * Collaborate with Product Managers, RTEs, and engineering teams to ensure architectural direction is reflected in backlogs. Cross-Functional Collaboration * Partner closely with the AI Portfolio Manager to align technical direction with business needs and strategic priorities. * Work with business units to translate their goals into structured AI technical requirements. * Mentor engineers, architects, and technical staff with guidance on AI patterns, technologies, and best practices. * Act as the technical "face of AI architecture" for internal and external stakeholders. Vendor & Technology Evaluation * Evaluate vendor AI solutions, platforms, and models for fit, cost, compliance, and architectural alignment. * Support technical due diligence for AI-focused contracts, POCs, and integrations. * Provide recommendations on build vs buy decisions for AI capabilities. Roadmap & Strategic Vision * Shape the enterprise AI future-state architecture and ensure alignment to long-term strategy. * Identify emerging trends, technologies, and capabilities in Azure, ServiceNow, and the broader AI ecosystem. * Influence strategic investments and capability planning across the enterprise AI landscape.