At a Glance
- Tasks: Architect and develop innovative AI applications that transform businesses.
- Company: Join a leading organisation at the forefront of AI and data solutions.
- Benefits: Access to training platforms, certifications, competitive salary, and flexible working.
- Other info: Hybrid working in London with excellent career growth opportunities.
- Why this job: Make a real impact with cutting-edge AI technology in a dynamic environment.
- Qualifications: Experience in AI application architecture and strong technical skills required.
The predicted salary is between 80000 - 100000 £ per year.
Connect to your industry Application Development & Integration - Engineering AI and Data. 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: Enterprise AI & Data Solutions employer: Hm Revenue & Customs (Hmrc)
Join a forward-thinking organisation in London as an AI Application Architect, where you will thrive in a dynamic work culture that prioritises innovation and collaboration. With access to extensive training platforms like A Cloud Guru and LinkedIn Learning, you will have ample opportunities for professional growth and development, while enjoying the flexibility of hybrid working arrangements. Our commitment to ethical AI practices and support for career breaks ensures a meaningful and rewarding employment experience.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Application Architect: Enterprise AI & Data Solutions
✨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 potential employers a tangible way to see what we can do, making us stand out from the crowd.
✨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
Apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, we can keep track of our applications and follow up easily.
We think you need these skills to ace AI Application Architect: Enterprise AI & Data Solutions
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 us without any hiccups, and you can easily track your application status!
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, natural language processing, and any relevant tools like TensorFlow or PyTorch. This will show that you're not just familiar with the concepts but have hands-on experience.
✨Architectural Principles Matter
Prepare to talk about architectural principles and best practices for AI solutions. Think of examples where you've defined and enforced these standards in past projects. This will demonstrate your ability to lead and mentor teams while ensuring scalability and security in your designs.
✨Communication is Key
Since you'll be working with diverse teams, practice articulating complex technical concepts in a way that's easy to understand. Prepare to explain your architectural designs and decisions clearly, as this will highlight your excellent communication skills and stakeholder management abilities.
✨Stay Current with Trends
Research emerging AI technologies and industry trends before your interview. Being able to discuss how these trends can impact the role and the company will show your enthusiasm and commitment to continuous learning, which is crucial for a position focused on innovation.
