AI Enterprise Architect (London)

DXC Technology; City of Westminster; On-site; GBP 80,000 - 120,000; Full time

Job summary

A global technology consulting firm seeks an experienced AI Enterprise Architect to define the target-state AI architecture and roadmap for scalable, secure AI adoption. Responsibilities include establishing governance frameworks, guiding platform integration, and leading stakeholder engagements. Candidates must have deep expertise in AI/ML architectures and strong leadership skills. The role offers an opportunity to influence enterprise-wide AI initiatives in a strategic capacity.

Qualifications

• Deep expertise in AI/ML architectures, including LLMs and data platforms.
• Strong understanding of APIs, microservices, and event-driven systems.
• Proven ability to develop enterprise technology strategy.

Responsibilities

• Define and maintain the AI reference architecture and implementation roadmap.
• Establish AI governance frameworks and policies.
• Guide integration of AI capabilities into enterprise platforms.
• Define and oversee security, privacy, and model risk management controls.
• Lead senior stakeholder discussions and architecture boards.

Skills

AI/ML architectures

Hybrid/multi-cloud architectures

Leadership and communication

Stakeholder management

Education

Bachelor's or Master's in Computer Science, Data Science, or related field

Job description

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.

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.

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).