At a Glance
- Tasks: Lead the design of AI platforms and mentor a team in innovative tech solutions.
- Company: Join Credera, a dynamic tech consulting firm with a supportive culture.
- Benefits: Competitive salary, comprehensive benefits, and a flexible hybrid working model.
- Other info: Great growth opportunities in a collaborative environment.
- Why this job: Make a real impact on exciting AI projects while developing your career.
- Qualifications: 8+ years in data architecture and expertise in Machine Learning & Generative AI.
The predicted salary is between 76662 - 93698 £ per year.
We know great talent comes in many forms - including people returning from a career break.
If you’re looking for part-time hours, flexible working, or a supportive transition back into your career, we’d love to explore how we can make this role work for you.
Are you passionate about developing a career in technology?
Does the idea of working for different clients on complex business-critical IT projects excite you?
If yes, then read on!
- Here’s what you’ll do
- Core Responsibilities
- Lead the design and development of robust data and AI platforms that support client strategic goals.
- Oversee the integration of Machine Learning & Generative AI technologies, ensuring seamless functionality and performance.
- Drive the implementation and industrialisation of Machine Learning & Large Language Models (LLMs) to enhance data processing and analytics capabilities using technologies such as GPT-4, BERT, and T5.
- Collaborate with cross-functional teams to align data and AI strategies with business objectives.
- Ensure data security and compliance with industry standards and regulations.
- Mentor and guide a team of data engineers and architects, fostering a culture of innovation and excellence.
- Lead the implementation of generative AI architectures and Proof of Concepts (Po Cs) at client sites, demonstrating the value and potential of AI-driven solutions.
- Wider Responsibilities
- Define and implement platform architectures for cloud-native Paa S and Saa S applications with a focus on data, analytics & AI.
- Ensure seamless data flow across microservices and API-driven architectures.
- Establish best practices for real‑time and batch processing in hybrid cloud environments.
- Lead the implementation of streaming technologies (Kafka, AWS Kinesis, Azure Event Hub) for real‑time data ingestion.
- Implement robust data management & governance strategies for long‑term sustainability.
- Advise clients on data platform & analytics modernization strategies.
- Work closely with business, engineering, and policy teams to align solutions with organisational goals.
- Provide guidance on best practices for cloud‑native data & analytics platforms.
Qualifications
- Proven experience (8+ years) in data architecture and AI platform design.
- Expertise in Machine Learning & Generative AI technologies and their application in data platforms.
- Familiarity with LLM implementation and industrialisation, including technologies such as GPT‑4, BERT, and T5.
- Strong leadership and project management skills.
- Excellent communication and collaboration abilities.
- In‑depth knowledge of data security and compliance standards.
- Strong knowledge of advanced data analytics and machine learning techniques.
- Strong understanding of cloud‑centric approaches to solution design & architecture.
- Preferred Experience
- Experience in leading solution implementations for medium to large teams.
- Public sector experience preferred (government, healthcare, or regulated industries).
- Strong understanding of core data management concepts over the full data lifecycle.
- Strong understanding of CI/CD and modern approaches to IT & infrastructure delivery.
- Technical Qualifications
- Certified architect in a cloud‑based platform (AWS, Azure, GCP); desired data / AI specialism.
- Certified in leading modern data warehouse / AI ecosystems (Big Query, Redshift, Synapse, Snowflake, Databricks).
Benefits
Along with a great company culture, Credera provides an exceptional compensation package including a competitive salary and a comprehensive benefits plan.
Our consistent growth and entrepreneurial environment provide an excellent platform to embark upon an exciting career path, where your contribution really counts.
Hybrid Working Model
At Credera we operate a flexible hybrid working model.
This includes 3 days per week working onsite – either at client site (as required) or in your local Credera office (London, Manchester, Leeds or Newcastle).
We value collaboration and client impact, so our hybrid model is designed to strike a balance between flexibility, in‑person connection, and delivering exceptional outcomes for our clients.
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Principal AI Solution Architect, Technology Consulting- London, Leeds, Manchester or Newcastle employer: Credera
Credera is an exceptional employer located in the vibrant city of Newcastle upon Tyne, offering a supportive and dynamic work culture that fosters collaboration and innovation. As a Recruitment Coordinator & Sourcer, you will benefit from a flexible hybrid working model, competitive salary, and comprehensive benefits, all while having ample opportunities for professional growth within a dedicated team. Join us to make a meaningful impact in the recruitment lifecycle and advance your career in a thriving environment.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Solution Architect, Technology Consulting- London, Leeds, Manchester or Newcastle
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We think you need these skills to ace Principal AI Solution Architect, Technology Consulting- London, Leeds, Manchester or Newcastle
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!
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Craft a Tailored Cover Letter:For a full-time role at Credera, 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 Credera. 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 Credera
✨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!
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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 Credera!
✨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.
