At a Glance
- Tasks: Design and deliver AI-powered solutions using Google Cloud technologies.
- Company: Innovative tech firm in Manchester with a hybrid work model.
- Benefits: Long-term contract, competitive pay, 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 in Python, GCP, and AI/ML 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.
Remote Software Architect 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. The company is committed to employee growth, providing ample opportunities for professional development and access to cutting-edge technologies, making it an excellent employer for those seeking meaningful and rewarding careers in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Software Architect 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 want to see your work in action, so make it easy for potential employers to see what you can do.
✨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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace Remote Software 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. Let us know what excites you about working with Google Gemini and Vertex AI.
Showcase Your Projects:If you've worked on any AI-powered solutions or cloud-native architectures, make sure to mention them in your application. We love seeing real-world examples of your work, especially if they involve intelligent systems or microservices!
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 submit your materials!
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 Architectural Skills
Prepare to talk about your experience designing scalable AI/ML solutions. Have specific examples ready that demonstrate your ability to architect cloud-native applications using Python, Docker, and GKE. This will show that you can not only design but also implement effective solutions.
✨Communicate Clearly
Since this role involves collaboration with various teams, practice explaining complex technical concepts in simple terms. Think about how you would describe your architectural decisions to non-technical stakeholders, as clear communication is key in this position.
✨Be Ready for Problem-Solving Questions
Expect to face scenario-based questions that test your problem-solving skills. Prepare to discuss how you would approach building intelligent agent workflows or optimising application performance. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
