At a Glance
- Tasks: Design and deliver scalable AI solutions using Google Cloud technologies.
- Company: Innovative tech firm in Manchester with a focus on AI/ML.
- Benefits: Long-term contract, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Experience with Google Cloud, Python, and AI/ML architectures required.
The predicted salary is between 60000 - 80000 € per year.
We are seeking an experienced Application Architect L1 with strong expertise in Google Cloud AI/ML technologies, Agentic AI systems, and modern cloud-native architecture. The ideal candidate will design and deliver scalable AI-powered enterprise solutions using Google Gemini on Vertex AI, orchestration frameworks, and knowledge-driven architectures. This role requires deep technical proficiency in Python, Google Cloud Platform (GCP), containerized deployments, and semantic data modeling, along with experience building intelligent systems powered by LLMs, RAG pipelines, and autonomous agents. The position is based in Manchester, UK, with a hybrid working model requiring 2 days onsite per week.
Key Responsibilities
- Design and architect enterprise-grade AI/ML solutions on Google Cloud Platform (GCP).
- Develop AI applications using Google Gemini models via Vertex AI.
- Build intelligent agent workflows using Google Agent Development Kit (ADK).
- Architect and deploy scalable microservices using Python and FastAPI.
- Implement cloud-native deployments using Docker and Google Kubernetes Engine (GKE).
- Design and manage Knowledge Graphs, RDF/property graph structures, and semantic models.
- Build Retrieval-Augmented Generation (RAG) pipelines integrating enterprise knowledge sources and vector search.
- Collaborate with engineering, product, and business teams to define scalable AI architectures.
- Optimize application performance, scalability, security, and reliability.
- Evaluate and improve LLM outputs using frameworks such as ARES, Ragas, and DeepEval.
- Provide architectural guidance, technical leadership, and best practices to development teams.
Required Skills
- Strong hands-on experience with:
- Google Gemini (Vertex AI)
- Google Agent Development Kit (ADK)
- Python
- Google Cloud Platform (GCP)
- Google Kubernetes Engine (GKE)
- Docker
- Knowledge Graphs
- RDF / Property Graphs
- Semantic Modelling
- Experience designing scalable cloud-native and distributed systems.
- Strong understanding of AI/ML solution architecture and LLM integration patterns.
- Experience with API-driven and microservices-based architectures.
- Excellent communication and stakeholder management skills.
Application Architect in Manchester employer: Coltech
Join a forward-thinking company that values innovation and collaboration, where as an Application Architect in Manchester, you'll have the opportunity to work with cutting-edge AI/ML technologies in a hybrid environment. Our supportive work culture fosters professional growth through continuous learning and development, while our commitment to employee well-being ensures a balanced work-life dynamic. With access to state-of-the-art resources and a team of passionate experts, you'll be empowered to make a meaningful impact in the field of AI architecture.
StudySmarter Expert Advice🤫
We think this is how you could land Application Architect in Manchester
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local tech events. The more people you know, the better your chances of landing that Application Architect gig.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Google Cloud AI/ML technologies. Share your GitHub or any relevant work during interviews to demonstrate your hands-on experience with Python and GCP.
✨Ace the Interview
Prepare for technical interviews by brushing up on your knowledge of AI architectures and microservices. Practice explaining complex concepts simply, as communication is key in this role. We want to see how you can collaborate with teams!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Application Architect in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Google Cloud AI/ML technologies and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Technical Skills:When filling out your application, be specific about your hands-on experience with tools like Google Gemini, Docker, and GKE. We’re looking for candidates who can hit the ground running, so let us know what you’ve built and how you did it!
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 the role. Plus, it’s super easy – just follow the prompts and you’ll be all set!
How to prepare for a job interview at Coltech
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Google Cloud AI/ML technologies, especially Google Gemini and Vertex AI. Be ready to discuss how you've used Python and containerized deployments in past projects, as this will show your technical proficiency.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've designed scalable AI solutions or built intelligent systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to see your thought process.
✨Understand the Role's Responsibilities
Familiarise yourself with the key responsibilities listed in the job description. Be prepared to discuss how you would approach designing enterprise-grade AI/ML solutions and optimising application performance, as this shows you're aligned with their needs.
✨Communicate Effectively
Since excellent communication is crucial for this role, practice articulating your ideas clearly. Think about how you can explain complex concepts like Knowledge Graphs and RAG pipelines in a way that's easy to understand for non-technical stakeholders.
