IT AI Enterprise Architect

General Information

City

Lexington

State/Province

Kentucky

Country

United States

Department

IM ARCHITECTURE

Date

Tuesday, March 10, 2026

Working time

Full-time

Ref#

20038535

Job Level

Specialist

Job Type

Experienced

Job Field

IM ARCHITECTURE

Seniority Level

Mid-Senior Level

Currency

USD - United States - US

Annual Base Salary Minimum

129455

Annual Base Salary Maximum

178000

The salary range above represents the low and high end in the local currency of Xerox's salary range for this position and is reflected in an annualized amount. Actual salaries will vary based on factors including, but not limited to, geographic location, market competition, and/or the successful applicant's education, experience, knowledge, skills, and abilities. The range listed is just one component of Xerox's total compensation package for employees. Employees are also afforded a comprehensive suite of benefits, to view those details please visit Xerox Careers for your applicable country. If you are not reviewing this job posting on Xerox Careers, we cannot guarantee the validity of this posting. For a list of our current internal postings, please visit Xerox Careers.

Monthly: Monthly rates for this position can be shared with you per your location, this rate will fall within the posted range.

Description & Requirements

About Xerox Holdings Corporation
For more than 100 years, Xerox has continually redefined the workplace experience. Harnessing our leadership position in office and production print technology, we've expanded into software and services to sustainably power the hybrid workplace of today and tomorrow. Today, Xerox is continuing its legacy of innovation to deliver client-centric and digitally-driven technology solutions and meet the needs of today's global, distributed workforce. From the office to industrial environments, our differentiated business and technology offerings and financial services are essential workplace technology solutions that drive success for our clients. At Xerox, we make work, work. Learn more about us at ;br>
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.

Required Qualifications

• 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

#LI-Hybrid