At a Glance
- Tasks: Design innovative AI architectures and lead cross-cloud integration projects.
- Company: Dynamic tech outsourcing company based in London.
- Benefits: Competitive salary, vibrant office culture, and opportunities for professional growth.
- Other info: Engage in thought leadership and contribute to the AI community.
- Why this job: Join a global team and shape the future of AI technology.
- Qualifications: 8-10+ years in technical leadership with expertise in cloud architecture.
The predicted salary is between 60000 - 80000 £ per year.
This Job Opportunity is only offered for candidates living and eligible to work in the UK.
Client: Tech Outsourcing Company.
As an AI Architect, you will design end-to-end Retrieval-Augmented Generation (RAG) and Cache-Augmented Generation architectures, ensuring strong standards for evaluation, observability, lineage, and performance optimization.
Detailed Duties and Responsibilities
- Establish cross-cloud and vendor integration frameworks, advising on platform selection while balancing interoperability, scalability, and vendor lock-in considerations.
- Design scalable integration patterns connecting agentic AI systems with enterprise platforms, identity services, collaboration tools, and cloud-native infrastructure.
- Define and govern reference architectures for multi-agent systems, including hierarchical, peer-to-peer, and sequential orchestration models, guiding teams on architecture pattern selection.
- Contribute to industry thought leadership through conference presentations, publications, and active participation in the AI community.
- Define GenAIOps architectural standards including CI/CD, infrastructure as code, monitoring, and performance metrics such as latency, cost, hallucination risk, and token consumption.
- Provide senior technical leadership and strategic advisory to executive stakeholders, facilitating workshops, shaping AI roadmaps, and mentoring engineering and architecture teams.
- Architect integrated memory systems covering session memory, long-term knowledge using vector databases and knowledge graphs, and audit or episodic memory strategies.
- Architect enterprise AI safety, security, and governance guardrails, including prompt security, PII protection, bias mitigation, and human-in-the-loop workflows aligned with industry frameworks.
Targeted Qualifications
- Fluency in English Language, C1 level or higher.
- Attention to detail and problem-solving.
- Demonstrated expertise building complex RAG pipelines and orchestration architectures.
- Demonstrated thought leadership through publications, conference speaking, patents, or open-source contributions.
- Min 8–10+ years of experience in technical leadership roles with strong foundations in software engineering and enterprise cloud architecture.
- Multi-cloud architectural expertise across Azure, AWS, and GCP environments.
- Deep architectural expertise in at least one major cloud platform (Azure, AWS, or GCP) with working knowledge of additional cloud ecosystems.
- Professional cloud certifications such as Azure Solutions Architect Expert, AWS Solutions Architect Professional, or GCP Professional Cloud Architect.
- Strong stakeholder engagement skills with experience advising senior leadership and C-level executives on technology strategy and governance.
- Development experience with orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
- Proven experience designing and delivering GenAI and LLM-based solutions using enterprise AI platforms.
- Experience designing or prototyping advanced multi-agent systems and collaborative AI architectures.
- Practical experience with GenAIOps tooling, AI governance frameworks, and AI FinOps or model routing strategies.
- Hands-on experience with LLM instruction tuning or model fine-tuning approaches.
Interpersonal Skills
- Communicative, speak and/or write well and get your ideas across to others easily.
- Interpreter, look at things and make sense of them, figure what is needed and how to fulfil it.
- Confident, pleasant, energetic, helpful, trustworthy.
- Efficient, perform tasks in the fastest and simplest ways that they can be done.
- Organized and punctual, put things in order so that they run smoothly and are always on time.
- Flexible, can carry different responsibilities, sometimes with very little advanced notice.
- Listen, listen/pay attention to what others are saying, without daydreaming or judging them.
- Precise, make sure that things are done accurately, correctly, and exactly.
- Willingness to acquire new knowledge.
- Service customers, be friendly patient, and polite with customers and try your best to service their needs/wants.
Office Based – London, UK. A global team committed to the company values. A dynamic work environment in a dynamically international company.
AI Architect – English Speaker – Office Based employer: SpotOn TA
Tech Outsourcing Company is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about AI and technology. With a strong emphasis on employee growth, you will have access to mentorship opportunities and the chance to lead cutting-edge projects in a dynamic environment. Located in a vibrant tech hub, we offer competitive benefits and a supportive atmosphere that encourages creativity and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land AI Architect – English Speaker – Office Based
✨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 SpotOn TA 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 SpotOn TA.
✨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 SpotOn TA.
✨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 SpotOn TA 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 – English Speaker – Office Based
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 SpotOn TA.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at SpotOn TA 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 SpotOn TA
✨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 SpotOn TA 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.