AI Enterprise Architect (London)

DXC Technology Inc.; Kariega; On-site; ZAR 850 000 - 1 100 000; Full time

Job summary

A global IT services leader seeks an experienced AI Enterprise Architect to define AI architecture, provide strategic leadership, and establish governance frameworks. This role involves integrating AI capabilities across platforms and managing stakeholder engagement. The ideal candidate has a degree in Computer Science or Data Science, deep expertise in AI/ML architectures, and excellent leadership skills. Join a dynamic culture that values innovation and community while pursuing your career growth.

Qualifications

• Deep expertise in AI/ML architectures, including LLMs, data platforms, knowledge graphs, and MLOps concepts.
• Proven ability to develop enterprise technology strategy and governance frameworks.
• Excellent leadership, communication, and stakeholder management skills.

Responsibilities

• Define and maintain the AI reference architecture and implementation roadmap.
• Establish AI governance frameworks, policies, and playbooks.
• Guide the integration of AI capabilities into core enterprise platforms.

Skills

AI/ML architectures

Hybrid/multi-cloud architectures

Leadership

Stakeholder management

Education

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

Tools

APIs

Microservices

Event-driven systems

Job description

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), London based

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).