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- 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 focus on innovation.
- Benefits: Enjoy competitive salary, flexible work options, and a commitment to your wellbeing.
- Why this job: Shape the future of AI in a dynamic environment and make a real impact.
- Qualifications: Bachelor’s or Master’s in Computer Science or related field; strong AI/ML expertise required.
- Other info: Collaborative culture that values diversity and offers excellent career growth opportunities.
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 mission-critical IT services that transform global businesses. We deliver excellence for our customers, colleagues and communities around the world. We operate with a culture that encourages innovation and supports wellbeing, productivity, and diverse work styles. We are committed to fostering an inclusive environment where everyone can thrive.
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).
AI Enterprise Architect employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Enterprise Architect
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at DXC Technology. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with AI architectures and governance frameworks. Share specific examples of how you've tackled challenges in past roles to demonstrate your expertise.
✨Tailor Your Approach
Before any interview, do your homework on DXC Technology and their AI initiatives. Tailor your responses to show how your skills align with their goals, especially around scalable and secure AI adoption. It shows you're genuinely interested!
✨Apply Through Our Website
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 proactive and serious about landing that AI Enterprise Architect role.
We think you need these skills to ace AI Enterprise Architect
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 what we're looking for!
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 great fit for DXC Technology. We love seeing enthusiasm and a personal touch.
Showcase Your Leadership Skills: Since this role involves strategic leadership, be sure to highlight any experiences where you've led teams or projects. We want to know how you can guide others in adopting AI standards and practices.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at hackajob
✨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 be ready to discuss how you would define and maintain an AI reference architecture.
✨Showcase Your Leadership Skills
This role requires strong leadership, so prepare examples of how you've led teams or projects in the past. Think about times when you provided architectural guidance or established governance frameworks, and be ready to share those stories.
✨Engage with Stakeholders
Since stakeholder engagement is key, practice how you would communicate complex AI concepts to non-technical stakeholders. Be prepared to discuss how you’ve successfully led discussions or architecture boards in previous roles.
✨Stay Updated on Compliance and Ethics
Familiarise yourself with current regulations and ethical considerations in AI. Be ready to discuss how you would implement governance frameworks and ensure compliance in AI initiatives, as this will show your understanding of the broader implications of AI in business.
