At a Glance
- Tasks: Lead the design and delivery of enterprise-scale generative AI solutions remotely.
- Company: Join a forward-thinking tech company focused on innovative AI architecture.
- Benefits: Flexible remote work, competitive pay, and the chance to shape AI governance.
- Other info: Opportunity to influence senior-level technical direction in a dynamic environment.
- Why this job: Make a real impact in the AI field with cutting-edge technologies and practices.
- Qualifications: Experience as an AI/LLM Architect with strong AWS Bedrock skills.
The predicted salary is between 60000 - 80000 £ per year.
We are recruiting an experienced AI/LLM Architect to lead the design and delivery of enterprise-scale generative AI solutions. This is a high-impact contract for an AI/LLM Architect with deep expertise in AWS Bedrock, multi-model orchestration, and AI governance, working fully remotely on a strategic AI programme.
Your responsibilities as the AI/LLM Architect:
- Design and own end-to-end AI and LLM architectures using AWS Bedrock with multi-model orchestration.
- Implement and optimise multi-LLM routing strategies, selecting between Claude, OpenAI, and open-source LLMs based on cost, latency, and use case.
- Architect and deliver RAG (Retrieval-Augmented Generation) solutions using vector databases.
- Define and enforce AI governance frameworks, including model risk management, security, and compliance.
- Lead model lifecycle management, including experimentation, evaluation, deployment, monitoring, and retirement.
- Establish and mature LLMOps/MLOps practices for scalable, production-grade AI systems.
- Collaborate with engineering, security, data, and product teams to embed AI solutions into existing platforms.
- Provide architectural leadership, documentation, and technical guidance across AI initiatives.
As a successful AI/LLM Architect, you will have:
- Proven experience operating as an AI/LLM Architect in complex, enterprise environments.
- Strong hands-on expertise with AWS Bedrock and multi-model AI architectures.
- Practical experience working with Claude, OpenAI APIs, and open-source LLMs.
- Deep understanding of RAG architectures, embeddings, and vector databases (e.g., Pinecone, Weaviate, OpenSearch, FAISS).
- Demonstrable experience defining and applying AI governance and responsible AI frameworks.
- Strong knowledge of LLMOps, CI/CD for models, monitoring, observability, and cost optimisation.
- Excellent stakeholder communication skills and the ability to influence technical direction at senior level.
If you are an AI/LLM Architect looking for a high-value remote contract where you can shape enterprise AI architecture and governance, we'd love to hear from you. Apply today — professional references required.
AI / LLM Architect in Nottingham employer: SCC
SCC is an exceptional employer for AI/LLM Architects, offering a fully remote work environment that promotes flexibility and work-life balance. With a strong focus on employee growth, you will have the opportunity to lead innovative AI initiatives while collaborating with cross-functional teams in a supportive culture that values your expertise and contributions. Join us to shape the future of enterprise AI solutions and enjoy the benefits of working with cutting-edge technologies in a dynamic and inclusive setting.
StudySmarter Expert Advice🤫
We think this is how you could land AI / LLM Architect in Nottingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI space, attend virtual meetups, and engage in relevant online communities. You never know who might have a lead on that perfect AI/LLM Architect role.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a GitHub repository highlighting your projects related to AWS Bedrock and multi-model orchestration. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of RAG architectures and AI governance frameworks. Be ready to discuss how you've implemented these in past roles, as this will set you apart from other candidates.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI / LLM Architect in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI/LLM Architect role. Highlight your experience with AWS Bedrock, multi-model orchestration, and any relevant projects that showcase your skills in generative AI solutions.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific experiences that align with the job description and show your passion for AI architecture.
Showcase Your Technical Skills:Don’t forget to include your hands-on expertise with tools like Claude, OpenAI APIs, and vector databases. We want to see how you’ve applied these in real-world scenarios, so be specific!
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, it shows you’re serious about joining our team!
How to prepare for a job interview at SCC
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS Bedrock and the various LLMs mentioned in the job description. Brush up on your knowledge of multi-model orchestration and RAG architectures, as these will likely come up during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that demonstrate your expertise in AI governance and model lifecycle management. Be ready to discuss how you've implemented AI solutions in complex environments and the impact they had.
✨Communicate Clearly
Since excellent stakeholder communication skills are a must, practice explaining complex technical concepts in simple terms. This will help you connect with interviewers who may not have a deep technical background.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current AI initiatives and their approach to AI governance. This shows your genuine interest in the role and helps you assess if the company aligns with your values and expertise.
