Senior AI Engineer | €600/Daily | 12-Month Contract
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At a glance
What you'll be doing
Join a leading global insurance organization as a Senior AI Engineer, focusing on building a new AI capability from the ground up. This role offers autonomy in shaping technology and architecture while working within a specialized team dedicated to AI solutions.
- Design and build scalable foundations for AI agents and ML-powered systems.
- Shape the architecture and evolution of the organisation’s AI and agent platform.
- Build and evolve MCP and A2A capabilities across the AI estate.
- Develop production-grade AI solutions that can integrate with existing enterprise systems.
- Modernise the technology estate by integrating new agentic technology with established platforms.
Key requirements
Must-have
- AWS or Azure cloud experience.
- Strong Python backend engineering experience.
- 2+ years’ experience in AI Engineering, with hands-on experience building Agentic AI and/or MCP-based solutions.
Experience: 2+ years in AI Engineering
Role signals
- Technical focus
- AI
- Architecture / system design
- Indicated in the listing
- Hands-on vs management
- Hands-on
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Full job description
Senior AI Engineer | €600/Daily | 12-Month Contract
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Design and build a brand-new AI capability from the ground up
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Join a specialist team focused on AI
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Take real ownership of architecture, technology choices and production delivery
An exciting AI opportunity with a leading global insurance organisation with a strong reputation for innovation, technical excellence and delivering complex solutions at scale.
As part of a major investment in AI, they are establishing a new specialist AI engineering team focused on identifying opportunities to automate and transform business processes through intelligent, production-ready AI solutions.
This is a chance to join at the beginning of that journey, working within a small, tight-knit team of highly specialised engineers where everyone brings a different skill set and plays a meaningful role in shaping the technology.
They are looking for a Senior AI Engineer who wants to take ownership and have a genuine influence on how AI is designed, built and deployed across the organisation.
Why You’ll Love This Role
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Design and build the foundations of a new AI platform from the ground up.
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Work on technology that moves beyond proof-of-concept into real production use cases.
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Enjoy genuine autonomy by influencing the tools, patterns, architecture and engineering approaches
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Take ownership across the full AI engineering lifecycle, from initial design through to production.
What You’ll Do
-
Design and build scalable foundations for AI agents and ML-powered systems.
-
Shape the architecture and evolution of the organisation’s AI and agent platform.
-
Build and evolve MCP and A2A capabilities across the AI estate.
-
Develop production-grade AI solutions that can integrate with existing enterprise systems.
-
Modernise the technology estate by bringing greenfield agentic technology together with established enterprise platforms.
Key Requirements
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AWS or Azure cloud experience.
-
Strong Python backend engineering experience.
-
2+ years’ experience in AI Engineering, with hands-on experience building Agentic AI and/or MCP-based solutions.
For more information, contact
For additional opportunities, visit the Archer Recruitment website.
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
Based on this listing, the role of Senior AI Engineer involves designing and building a new AI capability, emphasizing ownership of architecture and technology choices.
- AI architecture·High
- Production-grade AI solutions·High
- Cloud technologies (AWS/Azure)·High
- Python backend engineering·High
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Review AI Projects
0–10 minSpend time reflecting on your past AI projects and prepare specific examples.
Research Cloud Technologies
10–15 minInvestigate the latest features of AWS and Azure that are relevant to AI.
Practice Technical Questions
15–25 minPrepare answers for potential technical questions related to AI architecture and deployment.
Prepare Questions to Ask
25–30 minFormulate insightful questions to ask the interviewer about the team and projects.
Talking points
, 4 itemsAI Architecture Design
Prepare to discuss your experience in designing scalable AI systems and how you approach architectural decisions.
Production Deployment
Be ready to share examples of how you've transitioned AI projects from proof-of-concept to production, highlighting challenges faced.
Cloud Integration
Think of instances where you've utilized AWS or Azure in AI projects, focusing on specific services and their impact.
Python Engineering
Reflect on your backend development experience with Python, particularly in AI contexts, and be prepared to discuss code or projects.
What to research
, 3 itemsResearch AI Trends
Look into current trends in AI engineering, particularly in the insurance sector.
Explore Cloud Services
Familiarize yourself with the latest features of AWS and Azure relevant to AI.
Review Python Libraries
Brush up on Python libraries commonly used in AI, such as TensorFlow or PyTorch.
Questions to ask
, 4 itemsWhat are the key challenges the team is currently facing in AI development?
Why ask this? To understand the team's current landscape and how you can contribute.
How does the team prioritize projects within the AI engineering space?
Why ask this? To gauge the decision-making process and project management style.
What tools and technologies does the team currently use for AI development?
Why ask this? To learn about the technical environment and assess fit.
Can you describe the team culture and collaboration style?
Why ask this? To understand the work environment and team dynamics.
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