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 diverse teams in a dynamic environment focused on innovation.
- Why this job: Be at the forefront of AI technology and drive transformation across industries.
- 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-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 Slough employer: Wipro
Wipro is an exceptional employer for AI Solution Architects, offering a dynamic work environment that fosters innovation and collaboration. With a strong focus on employee growth, Wipro provides access to cutting-edge technologies and opportunities to lead transformative AI projects across various industries. The company's commitment to responsible AI practices and a supportive culture ensures that employees can thrive while making a meaningful impact in the field of artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution architect in Slough
✨Tip Number 1
Network like a pro! Connect with professionals in the AI and ML space on LinkedIn or at industry events. We can’t stress enough how important it is to build relationships; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, whether they’re personal or professional. We recommend using platforms like GitHub to share your code and demonstrate your expertise in MLOps and Generative AI.
✨Tip Number 3
Prepare for interviews by brushing up on common AI-related questions and case studies. We suggest doing mock interviews with friends or mentors to get comfortable discussing your experience and how it aligns with the role of an AI Solution Architect.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Keep an eye on our careers page and make sure your application stands out by tailoring it to the specific role you’re after.
We think you need these skills to ace AI Solution architect in Slough
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 building 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. Don’t forget to mention specific technologies or methodologies you’ve worked with.
Showcase Your Technical Skills:In your application, be sure to list out your technical proficiencies clearly. Mention tools like TensorFlow, AWS, or any MLOps frameworks you've used. We want to see what you bring to the table!
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 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 these will likely come up during technical discussions.
✨Showcase Your Strategic Thinking
Prepare to discuss how you can translate business needs 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 strategy.
✨Demonstrate Real-World Applications
Be ready to share specific instances where you've implemented AI solutions in production environments. Highlight your experience with building CI/CD pipelines and managing the ML lifecycle, as this will show your hands-on capability in delivering enterprise-grade solutions.
✨Emphasise Responsible AI Practices
Familiarise yourself with concepts like explainability and model governance. Be prepared to discuss how you ensure responsible AI practices in your projects, as this is increasingly important for companies looking to adopt AI responsibly.
