At a Glance
- Tasks: Design and develop AI features that tackle real business challenges in a hybrid work environment.
- Company: Join a forward-thinking company at the forefront of AI technology.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on continuous learning and career advancement.
- Why this job: Be part of an innovative team shaping the future of AI solutions.
- Qualifications: Strong software engineering skills with Python and experience in AI systems required.
The predicted salary is between 63000 - 77000 £ per year.
- Position: Ai Architect (SRK20ST RM 4395)
- Sponsorship is not provided. Hybrid mode
Requirements
- Design, develop, and deliver AI-enabled features and agent-driven workflows that solve real business challenges.
- Build resilient production systems leveraging cloud-native AI services, agent frameworks, and LLM APIs (e. g., Open AI, Anthropic).
- Implement agent-based architectures encompassing reasoning loops, guardrails, observability, and operational controls.
- Collaborate closely across teams to gather requirements and iterate quickly, employing agile and Dev Ops principles.
- Champion quality and security with a “shift-left” testing mindset, ensuring compliance and reliability in AI solutions.
- Monitor AI system behaviour post-deployment, clearly communicating limitations, risks, and performance.
- Use AI-assisted coding tools to boost developer productivity and code quality within the team.
- Engage in continuous improvement through code reviews, evaluation design, and metrics-driven iteration.
Skills You Need
- Strong software engineering background, with Python‑first development experience.
- Proven experience building production systems that integrate with LLM API services e. g. Open AI API services.
- Hands‑on experience with agentic or tool‑using AI systems, including orchestration, memory, and toolchains.
- Experience designing and using evals to measure model quality, reliability, safety, and regression.
- Comfort working with cloud managed AI services and modern agent frameworks.
- Familiarity with RAG workflows, vector stores, embedding design, and latency/cost trade‑offs.
- Experience thinking about (and engineering for) failure modes, guardrails, operational reliability, and user impact.
Experience And Qualifications
- You must have experience the transitioning from traditional software engineering to AI-first environments.
- Exposure to AWS Bedrock, Azure Foundry, or similar cloud AI agent platforms.
- Knowledge of interoperability standards (A2A, MCP).
- Experience with containerisation (Docker, Kubernetes) and modern Dev Ops tooling.
- Active contributor to engineering communities, continuous learning, and knowledge sharing.
- Wealth management experience is a must have
- #J-18808-Ljbffr
Ai Architect (SRK20ST RM 4395) employer: Source-Right
As an AI Architect at our innovative company, you will thrive in a dynamic hybrid work environment that champions collaboration and continuous improvement. We offer a culture of agility and DevOps principles, alongside opportunities for professional growth through hands-on experience with cutting-edge AI technologies and cloud-native services. Join us to be part of a forward-thinking team that values quality, security, and the transformative power of AI in solving real business challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Ai Architect (SRK20ST RM 4395)
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Source-Right or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Source-Right.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Source-Right.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Source-Right that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Ai Architect (SRK20ST RM 4395)
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Source-Right.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Source-Right and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Source-Right
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Source-Right uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
