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
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 have a real impact on businesses. The collaborative culture fosters innovation and creativity, ensuring that every team member can contribute to meaningful solutions while enjoying a competitive benefits package.
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, whether they're personal, academic, or freelance. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI architecture. Think about how you’d tackle real-world problems and be ready to discuss your thought process. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
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 the responsibilities outlined in the job description. Be sure to mention specific technologies and methodologies you’ve worked with.
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 past projects. This will help us see your hands-on experience and technical expertise.
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 Energy Jobline ZR
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI, ML, and Generative AI. Be ready to discuss specific frameworks like TensorFlow or PyTorch, and how they can be applied in real-world scenarios. This shows you're not just familiar with the concepts but can also translate them into practical solutions.
✨Showcase Your Strategic Thinking
Prepare to talk about how you've previously defined AI roadmaps or translated use cases into scalable architectures. Think of examples where your strategic advisory skills made a significant impact. This will demonstrate your ability to align technical solutions with business priorities.
✨Demonstrate Your Cloud Knowledge
Familiarise yourself with cloud platforms like AWS, Azure, and GCP, especially in the context of MLOps. Be ready to discuss how you've designed and implemented CI/CD pipelines for model deployment. This is crucial for showing that you can handle enterprise-scale solutions.
✨Emphasise Responsible AI Practices
Be prepared to discuss how you ensure responsible AI and governance in your projects. Talk about explainability techniques like SHAP and how you've integrated them into your workflows. This will highlight your commitment to ethical AI practices, which is increasingly important in today's landscape.
