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- Tasks: Lead the design and implementation of enterprise AI platforms for transformative projects.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of AI while collaborating with industry leaders and driving impactful change.
- Qualifications: Experience in enterprise architecture and applied AI/machine learning is essential.
- Other info: Dynamic role with opportunities to mentor and upskill teams in AI capabilities.
The predicted salary is between 48000 - 72000 £ per year.
Are you an experienced Enterprise AI Architect looking to shape large-scale AI transformation programmes? An exciting opportunity has arisen for a senior AI architecture professional to help design and deliver enterprise AI platforms, enabling organisations to unlock value from Generative AI, machine learning and modern AI infrastructure. This role will involve working with senior stakeholders to define AI strategy, architect enterprise AI platforms, and deliver rapid MVP solutions across multiple industries.
The Role: As an Enterprise AI Architect, you will lead the design and implementation of enterprise AI foundation platforms while supporting organisations in operationalising AI at scale. You will work closely with leadership teams, engineering squads and business stakeholders to translate AI use cases into production-ready solutions.
Key areas of focus include:- Architecting enterprise AI platforms and foundation stacks
- Establishing LLMOps and MLOps frameworks
- Building secure AI environments with governance and guardrails
- Delivering rapid AI proof-of-concepts and MVP solutions
- Developing AI operating models and governance frameworks
- Upskilling internal teams and stakeholders on AI capabilities
- Lead senior stakeholder and C-suite conversations around AI architecture, value cases and adoption strategy
- Define and design enterprise AI foundation stacks including infrastructure, platforms, model registries and vector databases
- Implement LLMOps/MLOps frameworks integrated with DevSecOps and SDLC processes
- Embed Responsible AI governance and risk controls
- Identify and prioritise AI use cases across industry domains
- Lead architecture spikes and MVP delivery with engineering teams
- Establish AI operating models and best practices
- Mentor and upskill internal teams through AI training and communities of practice
- Strong background in enterprise architecture and applied AI / machine learning
- Proven experience designing enterprise AI platforms
- Experience implementing LLMOps or MLOps frameworks
- Demonstrated success delivering AI MVPs or production solutions
- Strong stakeholder engagement skills with the ability to influence senior leadership
- Experience with cloud AI platforms and open-source AI ecosystems
- Familiarity with private or sovereign AI architectures
- Experience working across sectors such as Retail, Consumer Goods, Travel
AI Enterprise Architect employer: Wave Search
Contact Detail:
Wave Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Enterprise Architect
✨Tip Number 1
Network like a pro! Get out there and connect with industry professionals on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Showcase your expertise! Create a portfolio or case studies of your past AI projects. This will give potential employers a taste of what you can do and how you can add value to their organisation.
✨Tip Number 3
Prepare for those interviews! Research the company and its AI initiatives. We want you to be able to discuss how your experience aligns with their goals and how you can help them operationalise AI at scale.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AI Enterprise Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of AI Enterprise Architect. Highlight your experience with enterprise AI platforms and any relevant projects you've led. 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 architecture and how you can help us shape large-scale AI transformation programmes. Keep it engaging and personal.
Showcase Your Stakeholder Skills: Since this role involves working closely with senior stakeholders, make sure to highlight your experience in engaging with leadership teams. Share examples of how you've influenced decisions or driven AI strategies in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Wave Search
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially around enterprise architecture and LLMOps/MLOps frameworks. Be ready to discuss your past experiences with designing AI platforms and how you've successfully delivered MVPs. This will show that you're not just familiar with the concepts but have practical experience too.
✨Engage with Stakeholders
Since this role involves working closely with senior stakeholders, practice articulating your ideas clearly and confidently. Prepare examples of how you've influenced leadership decisions in the past. Think about how you can demonstrate your ability to translate complex AI use cases into actionable strategies that resonate with business goals.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios during the interview. Think about how you would approach architecting an AI platform for a specific industry or solving a common challenge in AI implementation. This will highlight your critical thinking and ability to deliver rapid solutions, which is key for this role.
✨Demonstrate Your Mentorship Ability
Since mentoring and upskilling teams is part of the job, come equipped with examples of how you've trained others in AI capabilities. Discuss any training programmes you've developed or led, and how you've fostered a culture of learning within your teams. This will show that you’re not just a technical expert but also a team player.