At a Glance
- Tasks: Build and deploy cutting-edge AI solutions using AWS technologies.
- Company: Join a forward-thinking consultancy with a focus on innovation.
- Benefits: Competitive daily rate, mostly remote work, and opportunities for travel.
- Other info: Dynamic consulting environment with opportunities for professional growth.
- Why this job: Make a real impact in the AI space while working with top-tier tech.
- Qualifications: Experience with AWS AI/ML services and strong Python skills required.
The predicted salary is between 110000 - 130000 £ per year.
Contract - Inside IR35
Rate: £500 per day
Location: Mostly remote (occasional travel required)
Client: Consultancy
Overview
We're working with a consultancy client looking to engage AWS AI Engineers with strong experience across Bedrock and Generative AI. This is a hands-on delivery role focused on building and deploying real-world AI solutions across enterprise environments. Ideal for engineers who are actively working with LLMs and modern AWS AI tooling.
What They're Looking For
- Hands-on experience with AWS AI/ML services, including:
- AWS Bedrock (key)
- SageMaker
- Lambda, API Gateway
- Experience building Generative AI / LLM-powered solutions
- Strong Python development skills
- Experience integrating AI into production systems
- Exposure to prompt engineering, RAG, or agent-based architectures
- Comfortable operating in a consulting / client-facing environment
- Strong communication skills
Nice to Have
- Experience with vector databases (e.g. Pinecone, OpenSearch)
AWS AI Engineer (Bedrock) employer: Tenth Revolution Group
As a leading consultancy, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our remote-first approach offers flexibility while still providing opportunities for occasional in-person engagement, ensuring a strong team connection. We are committed to the professional growth of our employees, offering access to cutting-edge projects in AI and Generative technologies, making us an excellent employer for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land AWS AI Engineer (Bedrock)
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and AWS communities. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with AWS Bedrock and Generative AI. This could be anything from GitHub repos to case studies. It’s a great way to demonstrate your hands-on experience and make you stand out.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with AWS AI/ML services. Practice common interview questions and think of examples that highlight your problem-solving abilities in real-world scenarios.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers. Don’t miss out!
We think you need these skills to ace AWS AI Engineer (Bedrock)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your hands-on experience with AWS AI/ML services, especially Bedrock and Generative AI. 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 AI and how your experience makes you a perfect fit for this consultancy role. Let us know what excites you about working with LLMs and AWS tooling.
Showcase Your Communication Skills:Since this role involves client-facing work, it’s crucial to demonstrate your strong communication skills in your application. We want to see how you can convey complex ideas clearly and effectively, so include examples if you can!
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. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Tenth Revolution Group
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS AI/ML services, especially Bedrock and SageMaker. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Python Skills
Since strong Python development skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms or data manipulation tasks that could come up in the context of AI solutions.
✨Prepare for Client-Facing Scenarios
As this role involves consulting, think about past experiences where you've had to communicate complex technical concepts to non-technical stakeholders. Prepare examples that highlight your communication skills and ability to adapt your message based on your audience.
✨Familiarise Yourself with Generative AI
Since the role focuses on building Generative AI solutions, be prepared to discuss your experience with LLMs and any relevant architectures like prompt engineering or agent-based systems. Bring examples of how you've integrated AI into production systems to the table.
