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 work options, and opportunities for professional growth.
- Other info: Collaborate with multi-disciplinary teams in a dynamic and fast-paced environment.
- Why this job: Be at the forefront of AI technology and drive transformative change in 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
- 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 London employer: Wipro
Wipro is an exceptional employer for AI Solution Architects, offering a dynamic work culture that fosters innovation and collaboration. With a strong focus on employee growth, Wipro provides extensive training opportunities and the chance to work on cutting-edge AI technologies in a supportive environment. Located in a vibrant tech hub, employees benefit from a diverse community and access to industry-leading resources, making it an ideal place for those seeking meaningful and impactful careers in AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution architect in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and tech space. Attend meetups, webinars, or even local 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 or professional. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each role. Research the company’s AI initiatives and mention how your experience aligns with their goals. This shows you’re genuinely interested and not just sending out generic applications.
✨Tip Number 4
Use our website to apply! We’ve got loads of resources and tips to help you through the application process. Plus, applying directly through us means you’ll be in the loop for any updates or opportunities that come up.
We think you need these skills to ace AI Solution architect in 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 hold back on your technical expertise! Mention your experience with tools like TensorFlow, AWS, or MLOps frameworks. We want to see how you can contribute to our AI strategy and execution.
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!
How to prepare for a job interview at Wipro
✨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 data pipeline tools like Kafka and Spark.
✨Showcase Your Strategic Thinking
Prepare to discuss how you can translate business priorities into scalable AI solutions. Think of examples where you've defined AI roadmaps or provided advisory to C-suite executives. This will demonstrate your ability to align technical expertise with business impact.
✨Demonstrate Your Leadership Skills
Since this role involves leading multi-disciplinary teams, be ready to share experiences where you’ve successfully managed teams across engineering, data science, and DevOps. Highlight your approach to fostering collaboration and driving projects to completion.
✨Emphasise Responsible AI Practices
Familiarise yourself with concepts like explainability and governance in AI. Be prepared to discuss how you ensure responsible AI practices in your work, including how you handle model governance and compliance, which are crucial for this role.
