At a Glance
- Tasks: Design and implement innovative AI applications that transform business processes.
- Company: Leading tech organisation focused on AI and data solutions.
- Benefits: Access to training platforms, certifications, competitive salary, and flexible working arrangements.
- Other info: Hybrid working model with opportunities for career growth and mentorship.
- Why this job: Join a dynamic team and shape the future of AI technology in real-world applications.
- Qualifications: Experience in AI application architecture and strong technical skills in Python and ML frameworks.
The predicted salary is between 80000 - 100000 £ per year.
Advance and grow your career within a leading organisation. Access training and skill development platforms such as A Cloud Guru, Udemy, and LinkedIn Learning. Benefit from certifications and training programmes designed to enhance your expertise.
We are seeking a highly skilled AI Application and Solution Architect. This pivotal role involves both architecting innovative applications that embed AI capabilities and leveraging AI tools and techniques to enhance the architectural design and delivery process itself. You will integrate these solutions seamlessly into complex enterprise environments to unlock new capabilities and drive business transformation.
Responsibilities- Lead the architectural design, development, and implementation of complex AI‑driven applications and solutions across various business domains.
- Define and enforce architectural principles, standards, and best practices for AI solution development, ensuring scalability, security, and maintainability.
- Translate business requirements and use cases into comprehensive technical architectures, including data models, integration patterns, and deployment strategies for AI applications.
- Evaluate and recommend appropriate AI technologies, platforms, tools, and frameworks, including machine learning services, cognitive APIs, and AI development environments.
- Strategically utilise AI‑powered tools and techniques (e.g., generative AI for code, architectural pattern suggestions, design automation) to accelerate and enhance the architectural design, documentation, and development processes.
- Provide technical leadership and mentorship to development teams, guiding them through architectural decisions and complex technical challenges related to AI solution delivery.
- Ensure compliance with data privacy, ethical AI and regulatory frameworks (GDPR, AI Act).
- Collaborate with product owners, data scientists, and engineering teams to ensure architectural designs meet functional and non‑functional requirements.
- Conduct architectural reviews, performance optimisation, and security assessments for AI solutions.
- Stay abreast of emerging AI technologies, architectural patterns, and industry trends to continuously enhance our solution offerings.
- Proven experience in Senior Application or Solution Architect roles, with a strong focus on designing and implementing AI‑driven applications and solutions.
- Strong experience in designing and integrating AI components (e.g., machine learning models, natural language processing, computer vision, intelligent agents) into enterprise applications.
- Strong understanding of generative AI models, Large Language Models (LLMs), and code generation tools (e.g., Claude, Codex, GPT models), and their application in solution design.
- Proficiency in Python, experience with ML/AI frameworks (e.g. TensorFlow and PyTorch) and ML lifecycle management tools (e.g. MLFlow, KubeFlow).
- Strong knowledge of iPaaS technologies (e.g. Mulesoft, Boomi), Cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML and integration offerings.
- Experience with data integration architectures (data lakes, ETL, streaming etc.), data governance, and security best practices relevant to AI solutions.
- Excellent communication, presentation, and stakeholder management skills, with the ability to influence and articulate complex technical concepts to diverse audiences.
- Ability to lead and mentor technical teams, fostering a collaborative and innovative environment.
- Experience working in a consulting environment is a significant advantage.
You'll be based in London with hybrid working. Depending on the requirements of your role, you will have the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely. We support flexible work environments and provide coaching and support for those returning from a career break of two years or more.
AI Application Architect, Engineering AI & Data, Engineering, London employer: Hm Revenue & Customs (Hmrc)
Join a leading organisation in London as an AI Application Architect, where you will thrive in a dynamic work culture that prioritises innovation and collaboration. Benefit from extensive training platforms like A Cloud Guru and LinkedIn Learning, alongside opportunities for professional growth through certifications and mentorship. With a flexible hybrid working model, you can enjoy a balanced work-life while contributing to transformative AI solutions in a supportive environment.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Application Architect, Engineering AI & Data, Engineering, London
✨Tip Number 1
Network like a pro! Connect with industry professionals on LinkedIn and attend relevant meetups or webinars. This can help us get our foot in the door and learn about unadvertised job opportunities.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your AI projects and solutions. This gives us a chance to demonstrate our expertise and creativity, making us stand out to potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI architecture and solutions. We should also be ready to discuss our past experiences and how they relate to the role we’re applying for.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can keep an eye on new openings and updates directly from the source.
We think you need these skills to ace AI Application Architect, Engineering AI & Data, Engineering, London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI-driven applications. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Skills:When detailing your experience, focus on the specific AI technologies and frameworks you've worked with. Mention your proficiency in Python and any ML/AI tools you’ve used, as this will grab our attention!
Be Clear and Concise:Keep your application straightforward and to the point. Use bullet points for easy reading and ensure your key achievements stand out. We appreciate clarity, especially when it comes to complex technical concepts.
Apply Through Our Website:We encourage you to submit your application directly through our website. This way, you’ll ensure it reaches the right people and you can easily track your application status. Plus, it’s super simple!
How to prepare for a job interview at Hm Revenue & Customs (Hmrc)
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and frameworks mentioned in the job description. Be ready to discuss your experience with machine learning models, generative AI, and any relevant tools like TensorFlow or PyTorch. Showing that you’re up-to-date will impress the interviewers.
✨Architectural Principles Matter
Prepare to talk about architectural principles and best practices for AI solutions. Think of examples from your past work where you defined standards or led a project. This will demonstrate your ability to enforce best practices and ensure scalability and security in your designs.
✨Showcase Your Leadership Skills
Since this role involves mentoring and leading teams, be ready to share experiences where you guided others through complex technical challenges. Highlight how you foster collaboration and innovation within your team, as this is key to succeeding in the position.
✨Communicate Clearly
Practice articulating complex technical concepts in a way that’s easy to understand. You might be asked to explain your architectural designs or decisions to non-technical stakeholders, so being able to communicate effectively is crucial. Use clear examples to illustrate your points.
