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For Companies At a Glance
- Tasks: Lead exciting GenAI projects and create innovative AI solutions.
- Company: Dynamic tech company based in London/Edinburgh with a hybrid work culture.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact in the AI field while collaborating with industry leaders.
- Qualifications: Experience in GenAI, model creation, and stakeholder management required.
- Other info: Join a forward-thinking team with excellent career advancement opportunities.
The predicted salary is between 48000 - 72000 £ per year.
Work Location: London / Edinburgh
Mode of Working: Hybrid Office Requirement: 2 days in office
The Role
AWS Solution Designer (with GenAI experience)
Your responsibilities:
- Lead end to end GenAI initiatives including model creation, finetuning, benchmarking, evaluation, and RAG system design.
- Drive LLM evaluation frameworks ensuring accuracy, safety, robustness, and alignment with business and compliance needs.
- Manage delivery of AI and data projects, ensuring timelines, quality, governance, and cross functional alignment.
- Collaborate with senior stakeholders to translate commercial and institutional business objectives into scalable AI and analytics solutions.
- Provide techno managerial leadership across teams, enabling execution excellence, innovation, and adoption of GenAI capabilities.
- A hands-on experience on Gen AI solutions would be preferable.
Your Profile
Essential skills/knowledge/experience:
- Techno manager with experience hands-on (preferably)/delivery on GenAI - Models creation, Finetuning, Benchmarking and evaluation, RAG, LLM evaluation.
- Stakeholder management, Delivery management.
AWS Solution Designer employer: Stackstudio Digital.
Contact Detail:
Stackstudio Digital. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Solution Designer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews by practising common questions related to AWS and GenAI. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your projects! If you've worked on any GenAI initiatives, make sure to highlight them in conversations. Bring along a portfolio or case studies that demonstrate your hands-on experience and problem-solving skills.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AWS Solution Designer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AWS Solution Designer role. Highlight your experience with GenAI, model creation, and stakeholder management. We want to see how your skills align with 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 passionate about GenAI and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Relevant Projects: If you've worked on any projects related to AI or data management, make sure to mention them. We’re keen to see your hands-on experience and how you've driven initiatives in the past.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to track your application better. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Stackstudio Digital.
✨Know Your GenAI Inside Out
Make sure you brush up on your knowledge of Generative AI, especially around model creation and finetuning. Be ready to discuss specific projects you've worked on and how you tackled challenges in benchmarking and evaluation.
✨Showcase Your Stakeholder Management Skills
Prepare examples that highlight your experience in managing stakeholders. Think about times when you translated complex technical concepts into business language, and how you ensured alignment with commercial objectives.
✨Demonstrate Delivery Management Expertise
Be ready to talk about your approach to managing AI and data projects. Discuss how you ensure quality and governance while meeting timelines, and share any tools or methodologies you use to keep everything on track.
✨Engage with Cross-Functional Collaboration
Think of instances where you collaborated with different teams to drive innovation. Highlight how you fostered teamwork and execution excellence, and be prepared to discuss how you can bring this collaborative spirit to their organisation.
