AI Enterprise Architect

AI Enterprise Architect

Job Description

DXC Technology is a Fortune 500 Global IT Services Leader and is ranked at 152.

Our more than 130,000 people in 70-plus countries are entrusted by our customers

to deliver what matters most. We use the power of technology to deliver mission

critical IT services that transform global businesses. We deliver excellence for our

customers, colleagues and communities around the world.

Accelerate your career and reimagine the possibilities with DXC!

We inspire and take care of our people. Work in a culture that encourages innovation

and where brilliant people embrace change and seize opportunities to advance their

careers and amplify customer success. Leverage technology skills and deep industry

knowledge to help clients. Work on transformation programs that modernize

operations and drive innovation across our customer’s entire IT estate using the

latest technologies in cloud, applications, security, IT Outsourcing, business process

outsourcing and modern workplace.

At DXC Technology, we believe strong connections and community are key to our

success. Our work model prioritizes in-person collaboration while offering flexibility to

support wellbeing, productivity, individual work styles, and life circumstances. We’re

committed to fostering an inclusive environment where everyone can thrive.

AI Enterprise Architect (Strategic Oversight & Governance)

Role Summary

The AI Enterprise Architect defines the target-state AI architecture and multi-year

roadmap to enable scalable, secure, and governed AI adoption across the

enterprise. This senior role provides strategic leadership, vendor and platform

guidance, and architectural governance across AI initiatives, ensuring alignment with

business strategy, enterprise standards, and regulatory requirements.

Key Responsibilities

 Enterprise AI Architecture & Roadmap: Define and maintain the AI

reference architecture and implementation roadmap, covering LLM platforms,

data pipelines, knowledge graphs, APIs, microservices, and event-driven

architectures across hybrid cloud environments.

 Governance & Standards: Establish AI governance frameworks, policies,

and playbooks for model development, data usage, security, ethical AI, and

compliance.

 Strategic Leadership: Provide architectural leadership and direction across

delivery teams, ensuring consistent adoption of AI standards and patterns.

 Platform Integration: Guide the integration of AI capabilities into core

enterprise platforms and processes, enabling reusable AI services and

accelerators.

 Security & Risk Management: Define and oversee enterprise-grade security,

privacy, and model risk management controls, including monitoring for

performance, fairness, and compliance.

 Stakeholder Engagement: Lead senior stakeholder discussions, architecture

boards, and executive communications.

Required Qualifications

 Bachelor’s or Master’s degree in Computer Science, Data Science, or related

field.

 Deep expertise in AI/ML architectures, including LLMs, data platforms,

knowledge graphs, and MLOps concepts.

 Strong understanding of hybrid/multi-cloud architectures, APIs, microservices,

and event-driven systems.

 Excellent leadership, communication, and stakeholder management skills.

 Proven ability to develop enterprise technology strategy and governance

frameworks.

Preferred Experience

 8+ years in enterprise, solution, or data architecture roles, including large-

scale AI/ML implementations.

 Experience evaluating and integrating AI platforms and emerging

technologies (e.g. generative AI).

 Familiarity with enterprise architecture frameworks (e.g. TOGAF) and cloud

architecture certifications.

 Experience operating within governance, risk, and compliance environments

(e.g. data protection, AI ethics).