GenAI Solution Architect

GenAI Solution Architect

Temporary 72000 - 108000 £ / year (est.) Home office (partial)
LA International

At a Glance

  • Tasks: Lead the design and delivery of cutting-edge Generative AI solutions.
  • Company: Join a forward-thinking tech company in London with a collaborative spirit.
  • Benefits: Flexible work schedule, competitive pay, and opportunities for professional growth.
  • Other info: Work in a dynamic environment with excellent career advancement potential.
  • Why this job: Be at the forefront of AI innovation and make a real impact.
  • Qualifications: 10+ years in tech, with 4+ years in AI/ML or architecture roles.

The predicted salary is between 72000 - 108000 £ per year.

Our client is looking for a GenAI Solution Architect to join the team on a six month initial contract, working two/three days a week onsite in London and the rest from home. This role is Inside IR35.

The GenAI Solution Architect will lead the design, development, and delivery of enterprise grade Generative AI solutions across business functions. This role requires deep expertise in AI/ML architecture, LLMs, vector databases, prompt engineering, cloud-native platforms, and responsible AI governance. The architect will partner with product, data, engineering, and business stakeholders to translate use cases into scalable, secure, and production-ready AI solutions.

Responsibilities

  • Lead the design, development, and delivery of enterprise-grade Generative AI solutions across business functions.
  • Collaborate with product, data, engineering, and business stakeholders to translate use cases into scalable, secure, and production-ready AI solutions.

Required Skills & Experience

  • 10+ years in technology with 4+ years in AI/ML or architecture roles.
  • Strong knowledge of GenAI frameworks (LangChain, LlamaIndex, Haystack).
  • Hands-on experience with LLM fine tuning, prompt engineering, RLHF, and RAG pipelines.
  • Expertise in Python, API design, cloud-native architectures, and microservices.
  • Experience with MLOps platforms (MLFlow, Kubeflow, Sagemaker, Vertex AI, Azure ML).
  • Deep understanding of vector databases and embedding models.
  • Strong architectural documentation and solution design capabilities.

GenAI Solution Architect employer: LA International

Our client offers a dynamic and innovative work environment in the heart of London, making it an excellent employer for a GenAI Solution Architect. With a strong focus on collaboration and employee growth, the company provides opportunities to work on cutting-edge AI solutions while enjoying a flexible work schedule that balances onsite and remote work. Employees benefit from a culture that values creativity and responsibility, ensuring meaningful contributions to impactful projects.

LA International

Contact Details:

LA International Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land GenAI Solution Architect

Tip Number 1

Network like a pro! Reach out to your connections in the AI/ML space and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you directly to hiring managers.

Tip Number 2

Showcase your expertise! Create a portfolio that highlights your projects related to Generative AI, LLMs, and cloud-native solutions. This will give potential employers a clear view of what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI/ML. Be ready to discuss your experience with frameworks like LangChain and MLOps platforms, as these are hot topics right now.

Tip Number 4

Don't forget to apply through our website! We have loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!

We think you need these skills to ace GenAI Solution Architect

AI/ML Architecture
Generative AI Solutions
LLMs (Large Language Models)
Vector Databases
Prompt Engineering
Cloud-Native Platforms
Responsible AI Governance

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the GenAI Solution Architect role. Highlight your experience in AI/ML architecture and any relevant projects you've worked on. We want to see how your skills align with the job description!

Showcase Your Expertise:Don’t hold back on showcasing your expertise in GenAI frameworks and technologies. Mention specific tools like LangChain or MLOps platforms you’ve used. This will help us see your hands-on experience and technical know-how.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about Generative AI and how you can contribute to our team. We love seeing genuine enthusiasm and a clear understanding of the role.

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at LA International

Know Your Tech Inside Out

Make sure you’re well-versed in the specific technologies mentioned in the job description, like GenAI frameworks and MLOps platforms. Brush up on your knowledge of LLM fine-tuning and prompt engineering, as these will likely come up during technical discussions.

Showcase Your Collaboration Skills

Since this role involves working with various stakeholders, be prepared to discuss past experiences where you successfully collaborated with product, data, and engineering teams. Highlight how you translated complex use cases into actionable AI solutions.

Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about how you would approach designing a Generative AI solution for a specific business function and be ready to articulate your thought process.

Demonstrate Responsible AI Governance Knowledge

Given the emphasis on responsible AI governance, be prepared to discuss ethical considerations in AI. Familiarise yourself with best practices and be ready to share your thoughts on how to implement them in your solutions.