At a Glance
- Tasks: Design and implement innovative AI solutions while leading engineering teams.
- Company: Established IT solution provider with a focus on cutting-edge technology.
- Benefits: Competitive daily rate, remote work, and the chance to work on exciting AI projects.
- Other info: 6-month contract with opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Hands-on experience with Python, Azure, and Generative AI solutions.
A well-established IT solution provider is looking for an experienced AI Technical Architect to join an existing team of experts. In this highly visible role, you will act as the bridge between complex data science and robust cloud architecture—spearheading the design, governance, and delivery of enterprise-grade AI solutions. You will technically steer engineering teams, manage senior stakeholder relationships, and deliver production-ready Generative AI capabilities.
The ideal candidate must be heavily hands-on with Python and Azure, possessing a proven track record of designing and deploying Retrieval-Augmented Generation (RAG) patterns.
Key Responsibilities- Architect & Govern: Design and implement robust on-premises, cloud, and hybrid AI solutions, ensuring strict technical governance and best practices across the delivery lifecycle.
- GenAI & LLM Engineering: Take a hands-on approach to deploying, fine-tuning, and customising pretrained LLMs. Build intelligent systems utilising Prompt Engineering, Vector Databases, Azure OpenAI, and Cognitive Search.
- Data Pipelines: Oversee large-scale data processing and AI data engineering pipelines using Python and PySpark.
- Leadership & Stakeholder Management: Guide and mentor engineering teams while confidently managing client relationships to secure consensus on complex technical architectures.
- Clearance: Active UK Government Security Check (SC).
- GenAI: Expertise in LLMs and RAG architectures.
- Python: Strong proficiency alongside PySpark for data engineering.
- Azure: Deep familiarity with native tools (AI Search, Document Intelligence).
- MLOps: Understanding of LLMOps frameworks for production deployment.
Ai Technical Architect in Bolton employer: Randstad Digital
As a leading IT solution provider, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our remote working model offers flexibility while providing opportunities for professional growth through hands-on projects in cutting-edge AI technologies. Join us to be part of a team that values your expertise and supports your career development in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land Ai Technical Architect in Bolton
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Azure, and Generative AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical teams and stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Ai Technical Architect in Bolton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, Azure, and AI solutions. We want to see how your skills align with the role of an AI Technical Architect, so don’t hold back on showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. We love seeing enthusiasm for AI and examples of how you've led teams or managed stakeholders in the past.
Showcase Your Hands-On Experience:Since this role requires a hands-on approach, make sure to include specific examples of your work with LLMs and RAG architectures. We want to know how you've tackled challenges and delivered results in your previous roles.
Apply Through Our Website:We encourage you to apply directly 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 Randstad Digital
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, Azure, and the specifics of Retrieval-Augmented Generation (RAG) patterns. Brush up on your hands-on experience with these technologies, as you’ll likely be asked to discuss your past projects and how you’ve implemented these solutions.
✨Showcase Your Leadership Skills
Prepare examples that highlight your ability to guide engineering teams and manage stakeholder relationships. Think about times when you’ve successfully navigated complex technical discussions or led a team through a challenging project—these stories will resonate well.
✨Understand the Company’s Needs
Research the IT solution provider and their approach to AI solutions. Tailor your responses to show how your skills align with their goals, especially in terms of governance and best practices in AI delivery. This shows you’re not just a fit for the role, but also for the company culture.
✨Prepare for Technical Questions
Expect deep dives into your technical expertise, particularly around LLMs and MLOps frameworks. Be ready to discuss your experience with data pipelines and how you’ve tackled challenges in deploying AI solutions. Practising common technical interview questions can help you feel more confident.
