Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design of AI architecture and roadmap for enterprise-wide AI adoption.
- Company: Join DXC Technology, a Fortune 500 leader in IT services with a global presence.
- Benefits: Flexible work model, inclusive culture, and opportunities for personal growth.
- Why this job: Shape the future of AI in a dynamic environment and make a real impact.
- Qualifications: Degree in Computer Science or Data Science; expertise in AI/ML architectures required.
- Other info: Collaborative workplace focused on wellbeing and career development.
The predicted salary is between 36000 - 60000 £ per year.
DXC Technology is a Fortune 500 Global IT Services Leader. 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.
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.
- 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.
- 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).
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritises 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 in Erskine employer: DXC Technology
Contact Detail:
DXC Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Enterprise Architect in Erskine
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those at DXC Technology. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for interviews by diving deep into AI architecture topics. Brush up on LLMs, data pipelines, and governance frameworks. The more you know, the more confident you'll feel when discussing your expertise!
✨Tip Number 3
Showcase your leadership skills! Be ready to share examples of how you've led teams or projects in the past. Highlighting your strategic oversight will make you stand out as a candidate who can drive AI initiatives.
✨Tip Number 4
Don't forget to apply through our website! It's the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the DXC team!
We think you need these skills to ace AI Enterprise Architect in Erskine
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Enterprise Architect role. Highlight your experience with AI/ML architectures and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for this role. Let us know what excites you about working with DXC Technology.
Showcase Your Leadership Skills: Since this role involves strategic leadership, be sure to highlight your experience in leading teams or projects. We’re looking for someone who can guide others and drive AI initiatives forward, so share those stories!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at DXC Technology
✨Know Your AI Architecture Inside Out
Make sure you’re well-versed in AI architectures, especially LLMs and data pipelines. Brush up on your knowledge of hybrid cloud environments and how they integrate with AI solutions. This will help you confidently discuss your experience and insights during the interview.
✨Prepare for Governance Questions
Since governance and compliance are key aspects of the role, be ready to talk about your experience in establishing AI governance frameworks. Think of specific examples where you’ve implemented policies or playbooks that ensured ethical AI practices and compliance with regulations.
✨Showcase Your Leadership Skills
This role requires strong leadership, so prepare to share instances where you’ve led teams or projects. Highlight your ability to engage stakeholders and drive architectural decisions that align with business strategies. Use the STAR method to structure your responses.
✨Stay Updated on Emerging Technologies
Familiarise yourself with the latest trends in AI, especially generative AI and MLOps concepts. Being able to discuss recent advancements and how they can be integrated into existing architectures will demonstrate your proactive approach and passion for the field.
