At a Glance
- Tasks: Design and implement cutting-edge AI solutions that solve real business challenges.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on continuous learning and innovation.
- Why this job: Lead transformative AI projects and make a significant impact in various industries.
- Qualifications: Strong background in data engineering, Python, SQL, and AI frameworks.
The predicted salary is between 80000 - 100000 £ per year.
We are seeking an experienced AI Architect to lead the design, development, and deployment of advanced Artificial Intelligence and Generative AI solutions. The ideal candidate will combine deep technical expertise with strong business acumen, translating complex and ambiguous business challenges into scalable AI-driven solutions that deliver measurable value.
Key Responsibilities
- Architect, design, and implement enterprise-grade AI and Generative AI solutions across a range of business domains.
- Collaborate with business stakeholders to understand requirements and translate complex problems into structured AI/ML architectures and delivery roadmaps.
- Design and optimise Retrieval-Augmented Generation (RAG) frameworks, vector database architectures, embedding strategies, and agentic AI workflows.
- Develop and integrate solutions leveraging Large Language Models (LLMs), foundation models, and Model Context Protocol (MCP) frameworks.
- Lead the selection and implementation of AI platforms, tools, and frameworks, ensuring scalability, security, and operational excellence.
- Build and maintain robust data pipelines using SQL, Python, and modern data engineering practices.
- Develop advanced analytics capabilities including anomaly detection, causal inference, predictive modelling, and machine learning solutions.
- Work closely with engineering, product, and business teams to deliver AI initiatives across multiple projects in a fast-paced environment.
- Create compelling data visualisations, dashboards, and presentations to communicate insights and solution outcomes to technical and non-technical stakeholders.
- Provide technical leadership, mentoring, and best-practice guidance to development and data science teams.
Required Skills & Experience
- Strong experience in data engineering, with advanced proficiency in Python and SQL.
- Hands-on experience with Large Language Models (LLMs), foundation models, prompt engineering, embeddings, vector databases, and RAG architectures.
- Proven experience designing and implementing agentic AI systems, including MCP (Model Context Protocol) integrations.
- Strong knowledge of Generative AI frameworks such as LangChain, LlamaIndex, and related orchestration platforms.
- Experience developing and deploying machine learning models, including anomaly detection and causal inference solutions.
- Demonstrated ability to translate ambiguous business requirements into practical AI and machine learning solutions.
- Strong communication and stakeholder management skills, with the ability to explain complex technical concepts to diverse audiences.
- Experience managing multiple initiatives simultaneously while delivering high-quality outcomes.
Preferred Qualifications
- Experience with cloud AI platforms such as Azure AI Services, Azure Machine Learning, AWS, or Google Cloud AI.
- Knowledge of MLOps, model governance, responsible AI principles, and AI security best practices.
- Experience leading AI strategy, architecture reviews, and enterprise-scale AI transformation programmes.
Key Competencies
- AI & Solution Architecture
- Generative AI & LLM Engineering
- Data Engineering & Analytics
- Problem Solving & Critical Thinking
- Stakeholder Management
- Technical Leadership
- Communication & Storytelling
- Innovation & Continuous Learning
Data Architecte H/F in London employer: Wipro
Wipro is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee growth, we provide extensive training and development opportunities, ensuring our team members thrive in their careers while working on impactful projects across diverse sectors. Our competitive salary and benefits package, combined with a culture that values creativity and excellence, make Wipro a rewarding place to advance your professional journey.
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We think this is how you could land Data Architecte H/F in London
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We think you need these skills to ace Data Architecte H/F in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Wipro, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Wipro. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Wipro
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Wipro!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
