At a Glance
- Tasks: Design and deliver scalable AI solutions using Google Cloud technologies.
- Company: Innovative tech firm based in Manchester with a hybrid work model.
- Benefits: Long-term contract, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with strong focus on innovation and career development.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Experience in AI/ML, Python, and cloud-native architecture 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.
- 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.
Software Architect - Remote working in Manchester employer: Coltech
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your expertise in AI/ML can truly shine. With a hybrid working model based in Manchester, you'll enjoy the flexibility of remote work while benefiting from in-person collaboration two days a week, fostering both personal and professional growth. Our commitment to employee development and cutting-edge projects ensures that you will be at the forefront of technology, making a meaningful impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Software Architect - Remote working in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Google Cloud AI/ML technologies. We love seeing real-world applications of your expertise, so make sure to highlight your best work.
✨Tip Number 3
Prepare for interviews by practising common technical questions related to Python, GCP, and AI architectures. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for talented individuals like you to join our team.
We think you need these skills to ace Software Architect - Remote working 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!
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 to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
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 these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've designed and delivered scalable AI-powered solutions. Think about the architecture decisions you made and be ready to explain why you chose certain technologies or frameworks, like Python or FastAPI.
✨Communicate Clearly and Confidently
Since this role involves collaboration with various teams, practice articulating your ideas clearly. Use simple language to explain complex concepts, especially when discussing topics like microservices or semantic data modelling. This will show that you can bridge the gap between technical and non-technical stakeholders.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company's current projects or future goals related to AI/ML. This not only shows your interest in the role but also gives you a chance to demonstrate your understanding of the industry and the specific challenges they might be facing.
