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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 forward-thinking 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.
Job Description
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 us a tangible way to see 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 these topics!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team.
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 generative AI frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing 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 Solutions Architect role. Keep it engaging and personal!
Showcase Your Technical Skills: When listing your technical skills, be specific! Mention your experience with Python, AI/ML libraries, and vector databases. We love seeing concrete examples of how you've used these technologies in your work.
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 like GPT and Claude, as well as frameworks such as LangChain and CrewAI. Brush up on your Python skills and be ready to discuss how you've used AI/ML libraries like Transformers and spaCy in real projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems using generative AI solutions. Think about how you've implemented RAG or multi-agent systems in past roles and be ready to explain your thought process and the impact of your solutions.
✨Familiarise Yourself with Vector Databases
Since this role involves working with vector databases like Pinecone and Weaviate, make sure you understand their functionalities and advantages. Be prepared to discuss how you’ve integrated these technologies into your projects and the outcomes they produced.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to generative AI and how they envision the future of Agentic AI solutions. This shows your genuine interest and helps you gauge if the company is the right fit for you.
