At a Glance
- Tasks: Design and build cutting-edge AI solutions, transforming concepts into enterprise-scale applications.
- Company: Join a leading tech firm driving AI innovation in a collaborative environment.
- Benefits: Competitive pay, flexible hybrid working, and opportunities for long-term contracts.
- Other info: Exciting long-term programme with significant technical influence and career growth.
- Why this job: Be at the forefront of AI technology and make a real impact on global projects.
- Qualifications: 8-12+ years in Data Science or AI, with strong skills in Python and Databricks.
The predicted salary is between 81000 - 99000 £ per year.
- Principal AI Data Engineer (Gen AI/Agentic AI) - Contract Opportunity
- Principal AI Data Engineer
- Hybrid Working
- Initial 6-Month Contract (Inside IR35)
- Long-Term Programme with expected extensions over a multi-year transformation initiative
- We are seeking an experienced
Principal AI Data Engineer to join a large-scale AI and data transformation programme. This is an exciting opportunity to help shape and deliver cutting-edge
Gen AI, Agentic AI and Data Engineering solutions , taking concepts from prototype through to enterprise-scale production deployment.
You’ll play a key role in designing, building and scaling AI-powered solutions that deliver real business value, while collaborating with both technical and non-technical stakeholders across a complex global environment.
The Role
As a Principal AI Data Engineer, you will
- Develop and evaluate
Gen AI, Agentic AI and AI-powered prototypes using modern AI platforms and frameworks.
- Design, build and optimise
Retrieval-Augmented Generation (RAG) solutions, including embedding strategies, prompt engineering and evaluation frameworks.
- Build and deploy AI agents using technologies such as
Lang Chain, Lang Graph, Auto Gen and similar frameworks .
- Deliver production-grade AI applications using
Azure Open AI, Azure AI Foundry, Databricks Mosaic AI, MLflow, Agent Bricks and Docker .
- Create scalable and reusable solutions using
Python and modern software engineering practices.
- Build and manage AI workflows on
Databricks , leveraging Delta Lake, DLT, Unity Catalog and MLflow.
- Develop robust evaluation, benchmarking and testing frameworks for Gen AI systems.
- Work with large-scale structured and unstructured datasets, ensuring reproducibility and high engineering standards.
- Contribute to architecture, technical strategy and long-term platform design.
- Partner closely with stakeholders, translating complex AI concepts into clear business outcomes.
- Lead technical direction, influence delivery roadmaps and help shape future AI capabilities.
- Key Skills & Experience
- 8-12+ years' experience delivering Data Science, AI or Advanced Analytics projects
Strong experience with
- Databricks (DLT, Delta Lake, Unity Catalog)
- Python, SQL and/or Scala
- Spark Structured Streaming and Auto Loader
- Data modelling, ETL/ELT and data architecture
- ADF and Qlik Replicate
- CI/CD, Git Hub workflows and Dev Ops best practices
Deep understanding of
- Large Language Models including GPT, Llama, Claude and Mistral
- Gen AI architecture and implementation
- RAG design patterns and evaluation techniques
- Agentic AI frameworks and orchestration
Hands-on experience with
- Databricks Mosaic AI
- MLflow
- Agent Bricks
Proven ability to
- Take AI solutions from proof-of-concept to production
- Operate in Agile environments
- Influence senior stakeholders
- Lead technical workstreams and help define future delivery backlogs
What's on Offer?
- Industry-leading AI and Gen AI programme
- Opportunity to work on production-scale Agentic AI initiatives
- Long-term contract potential within a multi-year programme
- High-profile role with significant technical influence
If you're passionate about building enterprise AI solutions and want to be at the forefront of Gen AI and Agentic AI delivery, we'd love to hear from you.
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Principal AI Data Engineer (GenAI/Agentic AI) - Contract Opportunity employer: Templeton & Partners - Innovative & Inclusive Hiring Solutions
Templeton & Partners is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration within the Media & Entertainment sector. With a strong emphasis on employee growth, you will have access to professional development opportunities while enjoying the flexibility of a hybrid working arrangement. Join us to make a meaningful impact through your analytical expertise in a supportive environment that values your contributions.
Contact Details:
Templeton & Partners - Innovative & Inclusive Hiring Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Data Engineer (GenAI/Agentic AI) - Contract Opportunity
✨Tap into Online Data Science Communities
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We think you need these skills to ace Principal AI Data Engineer (GenAI/Agentic AI) - Contract Opportunity
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Templeton & Partners - Innovative & Inclusive Hiring Solutions, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Templeton & Partners - Innovative & Inclusive Hiring Solutions, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Templeton & Partners - Innovative & Inclusive Hiring Solutions’s attention and show the tangible impact of your work.
How to prepare for a job interview at Templeton & Partners - Innovative & Inclusive Hiring Solutions
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Templeton & Partners - Innovative & Inclusive Hiring Solutions.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Templeton & Partners - Innovative & Inclusive Hiring Solutions.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Templeton & Partners - Innovative & Inclusive Hiring Solutions.