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- Tasks: Design and implement innovative AI solutions using cutting-edge technologies.
- Company: Global leader in analytics and digital solutions, based in London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: Experience with LLM applications and Python; knowledge of AI/ML libraries required.
- Other info: Exciting projects in a dynamic environment with global impact.
The predicted salary is between 36000 - 60000 £ per year.
Gen AI Solutions Architect – Urgent
Total Exp Required:- Atleast 10-15 years
*NO Sponsorship Offered*
Essential Qualifications
- LLM Expertise: Proven experience building applications with modern LLMs (GPT, Llama, Mistral, Claude), including prompt engineering and fine-tuning.
- GenAI & Agentic Frameworks: Practical expertise with GenAI tools (LangChain, LlamaIndex) and agentic frameworks (AutoGen, CrewAI, LangGraph).
- AI Architecture: Deep understanding of AI/ML architectures—microservices, event-driven systems, RAG, Graph RAG, Agentic RAG, and multi-agent designs.
- Vector Databases: Proficient with embeddings and vector DBs (Pinecone, Weaviate, Chroma, FAISS).
- Cloud Platforms: Hands-on deployment experience on AWS, Azure, or GCP.
- MLOps/LLMOps: Skilled in building automated pipelines for testing, CI/CD, monitoring, and governance of AI/LLM systems.
Solutions Architect employer: MANNING SERVICES LIMITED
Contact Detail:
MANNING SERVICES LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with LLMs and Agentic AI solutions. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects with Python and AI/ML libraries. This gives potential employers a taste of what you can do beyond the application.
✨Tip Number 3
Prepare for the interview by brushing up on the latest trends in Generative AI and multi-agent systems. We want to see your passion and knowledge shine through when discussing RAG and vector databases!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Solutions Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLM applications and AI frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
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 your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python and any AI/ML libraries you’ve worked with. We love seeing specific examples of how you’ve used these technologies in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at MANNING SERVICES LIMITED
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest LLM applications and frameworks like LangChain and LangGraph. Brush up on your Python skills and be ready to discuss how you've used AI/ML libraries in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges using generative AI solutions. Think about scenarios where you implemented multi-agent systems or worked with vector databases like Pinecone or Weaviate.
✨Stay Current with Industry Trends
Familiarise yourself with the latest trends in generative AI and agentic frameworks. Being able to discuss recent advancements or case studies will show your passion and commitment to the field.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to generative AI and their future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.
