At a Glance
- Tasks: Design and deliver enterprise-scale AI solutions that make a real business impact.
- Company: Join Wipro, a leader in innovative AI and ML solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on collaboration and innovation.
- Why this job: Be at the forefront of AI technology and shape the future of businesses.
- Qualifications: Deep technical expertise in AI/ML and strong advisory skills required.
The predicted salary is between 80000 - 100000 £ per year.
Wipro brings a Principal AI/ML Solutions Architect to partner with your organisation in designing and delivering enterprise-scale AI, MLOps, and Generative AI platforms. This role combines deep technical expertise with strategic advisory capability, ensuring your AI investments move beyond experimentation into production-grade, scalable, and business-impacting solutions.
What This Role Delivers
- AI Strategy to Execution
- Define AI/ML and GenAI roadmaps aligned to business priorities
- Translate use cases into scalable, production-ready architectures
- Provide C-suite advisory on AI adoption, governance, and operating models
- Enterprise AI Platform Engineering
- Design and implement cloud-native MLOps platforms across AWS, Azure, and GCP
- Enable end-to-end ML lifecycle: data → training → deployment → monitoring
- Build secure, automated CI/CD pipelines for model deployment at scale
AI Solution architect employer: Wipro
Wipro is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for AI Solution Architects to thrive. With a strong focus on employee growth, Wipro offers extensive training and development opportunities, ensuring that team members are equipped with the latest skills in AI and MLOps. Located in a dynamic environment, employees benefit from a diverse and inclusive workplace that encourages creativity and impactful contributions to cutting-edge projects.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution architect
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and ML space on LinkedIn or at industry events. We can leverage our connections to get insights and maybe even referrals for that Principal AI/ML Solutions Architect role.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with cloud-native MLOps platforms and generative AI projects. We can use this to impress potential employers during interviews.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on your knowledge of AI strategy, governance, and operating models. We should practice articulating how we can translate use cases into scalable architectures.
✨Tip Number 4
Don’t forget to apply through our website! It’s a great way to ensure your application gets noticed. We can also follow up with a friendly email to express our enthusiasm for the role.
We think you need these skills to ace AI Solution architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Solution Architect role. Highlight your experience with AI, MLOps, and cloud platforms like AWS, Azure, or GCP. We want to see how your skills align with the job description!
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 you can help us move from experimentation to production-grade solutions. Be specific about your past experiences and achievements.
Showcase Your Technical Skills:In your application, don’t forget to showcase your technical expertise. Mention any relevant projects or technologies you've worked with, especially in building scalable architectures and CI/CD pipelines. We love seeing real-world applications of your skills!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Wipro
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest trends and technologies in AI, ML, and Generative AI. Brush up on your knowledge of cloud platforms like AWS, Azure, and GCP, as well as MLOps best practices. This will not only help you answer technical questions but also show your passion for the field.
✨Showcase Your Strategic Thinking
Prepare to discuss how you can translate complex use cases into scalable architectures. Think about past projects where you’ve successfully aligned AI strategies with business goals. Be ready to share specific examples that highlight your advisory capabilities to C-suite executives.
✨Demonstrate Your Technical Skills
Be prepared to dive deep into your technical expertise during the interview. You might be asked to design a cloud-native MLOps platform on the spot, so practice articulating your thought process clearly. Familiarise yourself with CI/CD pipelines and the end-to-end ML lifecycle to impress your interviewers.
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with thoughtful questions about the company’s AI initiatives and future plans. This shows your genuine interest in the role and helps you gauge if the company aligns with your career aspirations. Plus, it gives you a chance to demonstrate your strategic mindset.
