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 opportunities for professional growth.
- Other info: Collaborate with diverse teams in a dynamic, high-impact environment.
- Why this job: Shape the future of AI with cutting-edge technologies and impactful projects.
- Qualifications: Experience in AI/LLM architecture and strong AWS Bedrock skills required.
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 (eg 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.
NOTE: At SCC, we take the privacy and security of your information very seriously. Any information we hold will be handled in accordance with current data protection legislation. Upon submitting your application, SCC will process your information in line with our privacy policy, which can be found on our website under Legal - Privacy Notice - Flexible Resourcing.
AI / LLM Architect employer: SCC
At SCC, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture, especially for our remote AI/LLM Architect role. We offer competitive compensation, comprehensive benefits, and ample opportunities for professional growth, allowing you to thrive in a dynamic environment while contributing to cutting-edge AI solutions. Join us to be part of a strategic programme where your expertise will directly impact enterprise-scale projects and governance frameworks.
StudySmarter Expert Advice🤫
We think this is how you could land AI / LLM Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI space and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving AWS Bedrock and multi-model architectures. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Stay updated with industry trends! Follow relevant blogs, podcasts, and forums to keep your knowledge fresh. This will not only help you in interviews but also show your passion for the field.
✨Tip Number 4
Apply through our website! We’ve got some fantastic roles waiting for talented individuals like you. Don’t miss out on the chance to be part of exciting AI initiatives by submitting your application directly.
We think you need these skills to ace AI / LLM Architect
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 and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
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 relate to multi-model orchestration and AI governance, as these are key areas for us.
Showcase Your Technical Skills:Don’t forget to showcase your technical expertise in your application. Include details about your hands-on experience with Claude, OpenAI APIs, and vector databases. We love seeing concrete examples of your work!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
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 to discuss specific projects where you've implemented AI governance frameworks or worked with vector databases. Use concrete examples to demonstrate your hands-on expertise and how it aligns with the responsibilities of the role.
✨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 LLMOps. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
