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: Collaborate with diverse teams in a dynamic environment focused on innovation.
- Why this job: Be at the forefront of AI technology and drive transformative change in businesses.
- Qualifications: Experience in AI/ML engineering and cloud platforms is essential.
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- 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
- Generative AI & LLM Enablement
- Deploy GenAI solutions including RAG architectures and enterprise knowledge systems
- Build agentic AI workflows for automation and decision intelligence
- Ensure responsible AI, explainability, and governance by design
- Data & Real-Time Intelligence
- Implement real-time and batch data pipelines (Kafka, Spark, Airflow)
- Enable advanced feature engineering and predictive analytics
- Support streaming inference and operational AI use cases
- Scaled Delivery & Transformation
- Lead multi-disciplinary AI teams across engineering, data science, and DevOps
- Deliver production-grade AI solutions in complex, regulated environments
- Accelerate outcomes using pre-built frameworks and accelerators
Core Capabilities
- AI/ML Engineering: TensorFlow, PyTorch, XGBoost, transformer architectures
- MLOps & LLMOps: MLFlow, Kubeflow, SageMaker, KServe, vector DBs
- Cloud & Platform Engineering: AWS, Azure, GCP, Kubernetes, Terraform
- Data Platforms: Spark, Kafka, Snowflake, Airflow
- Responsible AI: Explainability (SHAP), model governance frameworks
Business Impact
- Accelerated AI adoption from PoC to production
- Reduced time-to-market for ML use cases
- Improved model reliability, governance, and compliance
- Enabled scalable GenAI capabilities across the enterprise
- Delivered measurable ROI through AI-driven decisioning
Ideal Engagement Scenarios
- Enterprise AI platform modernisation
- Scaling MLOps / LLMOps capabilities
- Implementing GenAI-driven knowledge and automation platforms
- Driving AI-led transformation across business units use cases
AI Solution architect in City of London employer: Energy Jobline ZR
Wipro is an exceptional employer for AI Solution Architects, offering a dynamic work environment in the heart of the City of London. With a strong focus on employee growth and development, Wipro provides access to cutting-edge technologies and opportunities to lead transformative AI projects that drive real business impact. The collaborative culture fosters innovation and encourages team members to push the boundaries of AI, making it a rewarding place for those looking to make a meaningful contribution in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution architect in City of London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI space. Attend meetups, webinars, or industry events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or contributions. Whether it's a GitHub repo or a personal website, having tangible evidence of your expertise can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common questions for AI Solution Architect roles and practice your responses. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Tailor your application to highlight how your skills align with the role, and let us help you land that dream job!
We think you need these skills to ace AI Solution architect in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of AI Solution Architect. Highlight your experience with AI/ML, cloud platforms, and any relevant projects that showcase your skills in designing scalable solutions.
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 aligns with our mission at StudySmarter. Be specific about your achievements and how they relate to the job.
Showcase Your Technical Skills:Don’t just list your skills; demonstrate them! Include examples of how you've used tools like TensorFlow, AWS, or MLOps in real-world scenarios. This will help us see your practical experience and problem-solving abilities.
Apply Through Our Website:We encourage you to apply through our website for a smoother 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 Energy Jobline ZR
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI/ML technologies and frameworks mentioned in the job description, like TensorFlow, PyTorch, and MLOps tools. Brush up on your knowledge of cloud platforms such as AWS, Azure, and GCP, as well as generative AI concepts. This will help you speak confidently about how you can contribute to their projects.
✨Prepare Real-World Examples
Think of specific projects or experiences where you've successfully implemented AI solutions or led teams in a similar capacity. Be ready to discuss challenges you faced, how you overcame them, and the impact your work had on the business. This will demonstrate your practical experience and strategic thinking.
✨Understand Their Business Goals
Research the company’s current AI initiatives and understand their business priorities. Tailor your responses to show how your skills and experiences align with their goals, especially in terms of accelerating AI adoption and delivering measurable ROI. This shows that you’re not just technically skilled but also business-savvy.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your understanding of the role and the company’s AI strategy. Inquire about their approach to responsible AI, governance, and how they measure success in their AI projects. This not only shows your interest but also positions you as a candidate who thinks critically about the implications of AI.
