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- Tasks: Lead the design and implementation of innovative AI solutions using Azure technologies.
- Company: Join a forward-thinking tech company focused on cutting-edge AI projects.
- Benefits: Competitive daily rate, remote work flexibility, and opportunities for professional growth.
- Other info: Dynamic role with potential for extension and a chance to mentor others.
- Why this job: Be at the forefront of AI technology and make a significant impact in a high-profile project.
- Qualifications: 15+ years in IT, with strong Azure and AI expertise; active SC clearance required.
The predicted salary is between 39600 - 55000 £ per year.
We are seeking a heavyweight AI Technical Architect with a 15-year pedigree in IT and a deep specialization in the Azure ecosystem. This is a pivotal role sitting at the intersection of Enterprise Architecture and cutting-edge Generative AI. You will be responsible for technical governance, stakeholder management, and the hands-on design of sophisticated AI solutions for a high-profile project.
As the Lead Architect, you will guide a dedicated team through the complexities of deploying and fine-tuning generative models. This isn’t just a "high-level" role - we need someone who can design the blueprint and then dive into the Python/PySpark code to ensure the foundation is rock solid.
Key Responsibilities:- Architect & Design: Lead the implementation of on-premises, cloud, and hybrid AI solutions.
- GenAI Leadership: Deploy and customize a variety of generative models, leveraging Azure OpenAI, Vector Databases, and RAG patterns.
- Technical Governance: Manage and govern technical teams to ensure best practices in AI data engineering.
- Stakeholder Management: Act as the primary technical point of contact, gaining consensus on complex solutions across various business units.
- Knowledge Transfer: Develop and deliver upskilling sessions to ensure long-term project sustainability.
- Azure Mastery: Minimum 5 years of hands-on Azure experience with a mandatory AZ-204 (Azure Developer Associate) certification.
- AI Specialization: Proven experience with Prompt Engineering, Azure OpenAI, Document Intelligence (Form Recognizer), and Cognitive Search.
- Data Engineering: Expert proficiency in Python and PySpark for large-scale data processing.
- Operations: Familiarity with MLOps or LLMOps frameworks to support production-grade AI.
- Seniority: 15+ years of total IT experience, showing a clear progression into technical leadership.
- Must hold active SC Clearance.
- Exceptional communication skills with the ability to present complex technical solutions to non-technical stakeholders.
- A "hands-on" mentor who enjoys upskilling others.
- Strong problem-solving skills and a positive, consultative attitude.
- AZ-303/304 or AZ-305 (Azure Solutions Architect Expert)
- AI-102 (Azure AI Engineer Associate)
- DP-100 (Azure Data Scientist Associate)
If you would be interested please share your updated CV on yogeshwari.sen@randstaddigital.com with your availability to discuss more about this role.
Randstad Technologies is acting as an Employment Business in relation to this vacancy.
AI Technical Architect_ Active SC Clearance in London employer: Randstad Technologies
Contact Detail:
Randstad Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Technical Architect_ Active SC Clearance in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving Azure and AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding the latest trends in AI. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Us
If you’re keen on this role, don’t hesitate to apply through our website! We’re here to help you land that dream job, so make sure your application stands out and showcases your unique skills and experiences.
We think you need these skills to ace AI Technical Architect_ Active SC Clearance in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and AI solutions. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects and achievements!
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 and a clear understanding of the responsibilities outlined in the job description.
Showcase Your Technical Skills: Since this role requires hands-on experience, be specific about your technical skills in Python, PySpark, and Azure. We want to know how you've applied these skills in real-world scenarios, so include examples where possible!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Randstad Technologies
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge, especially the tools and services relevant to AI. Be prepared to discuss your hands-on experience with Azure OpenAI and how you've implemented generative models in past projects.
✨Showcase Your Technical Leadership
Highlight your experience in leading technical teams and managing complex projects. Prepare examples of how you've governed technical practices and ensured best practices in AI data engineering.
✨Communicate Complex Ideas Simply
Since you'll be dealing with non-technical stakeholders, practice explaining complex technical solutions in a straightforward manner. Use analogies or simple terms to convey your ideas effectively.
✨Prepare for Hands-On Questions
Expect to dive into technical discussions, including coding scenarios. Brush up on Python and PySpark, and be ready to demonstrate your problem-solving skills through practical examples or coding challenges.