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 with your expertise.
- Qualifications: Hands-on experience with Python, Azure, and Generative AI technologies.
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 Slough 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 Slough
✨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 experts. 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 make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team. So, get your application in and let's get started!
We think you need these skills to ace Ai Technical Architect in Slough
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 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. Talk about your hands-on experience with LLMs and RAG architectures, and how you’ve successfully managed stakeholder relationships in the past.
Showcase Your Technical Skills:In your application, be specific about your technical expertise. Mention any relevant tools and frameworks you’ve used, especially around MLOps and data engineering pipelines. We love seeing concrete examples of your work!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
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 specific AI technologies mentioned in the job description. Brush up on your knowledge of Retrieval-Augmented Generation (RAG) patterns and be ready to discuss how you've implemented these in past projects.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in guiding engineering teams and managing stakeholder relationships. Think about times when you’ve successfully navigated complex technical discussions and secured consensus on architectural decisions.
✨Demonstrate Hands-On Experience
Be ready to talk about your hands-on work with Generative AI and LLMs. Share specific instances where you deployed or fine-tuned models, and explain the impact of your contributions on project outcomes.
✨Understand the Importance of Governance
Familiarise yourself with best practices in technical governance. Be prepared to discuss how you ensure compliance and quality across the delivery lifecycle, especially in cloud and hybrid environments.
