Senior AI Engineer | AI Strategy & Transformation | €750–€850 Daily

Archer · Recruitment agency
Contract•AI•€750-850/day (EUR)•Dublin, Ireland · Remote within Ireland
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At a glance

Employment type
Contract
Workplace
Remote
Day rate
€750-850/day (EUR)
Category
AI

Technologies & skills

Primary technologies

PHP

What you'll be doing

Senior AI Engineer role driving AI strategy and transformation for a major insurance sector technology rebuild. Influence AI adoption, identify high-value use cases, and act as an AI evangelist across business and tech teams. 6-month contract, mostly remote, based in Ireland.

  • Shape and drive AI initiatives from concept through to delivery, working across technology, data and business teams
  • Act as a trusted AI evangelist, educating stakeholders and challenging assumptions around what AI can achieve
  • Help define the organisation’s approach to AI adoption, experimentation and implementation

Key requirements

Must-have

  • Strong experience across AI, machine learning, data science or AI engineering, with technical depth in modern AI capabilities
  • Experience shaping and driving AI initiatives, not just delivering within an established roadmap
  • Ability to translate complex technical concepts into clear business opportunities and actionable strategies
  • Genuine AI evangelist who keeps ahead of the technology landscape and understands where AI can create real value

Role signals

Technical focus
AI strategy, evangelism, and delivery

Full job description

Senior AI Engineer | AI Strategy & Transformation | €750–€850 Daily

  • Shape how AI is used across a major technology transformation

  • Turn AI opportunities into real products, platforms and business outcomes

  • €750–€850 daily | 6-month contract | Long-term potential | Mostly remote

A leading organisation in the insurance sector is embarking on an exciting transformation, rebuilding core platforms and capabilities from the ground up while moving away from legacy technology.

As a Senior AI Engineer, you’ll have the opportunity to help shape where AI fits into that journey — identifying opportunities, challenging conventional thinking and turning emerging technology into something the business can genuinely use.

If you’re someone who is technically credible and can think strategically, understand what AI can unlock, and bring people with them then this could be the right opportunity for you.

You’ll act as an AI evangelist and trusted technical voice, helping teams understand what’s possible, where AI can add genuine value, and how to turn that potential into practical solutions.

Why You’ll Love This Role

  • Shape the AI strategy — help define where and how AI should be used across a major technology transformation.

  • Greenfield transformation — be part of rebuilding platforms and capabilities rather than simply optimising legacy technology.

  • Be the AI voice — influence senior stakeholders, technology teams and business leaders on what AI can actually deliver.

  • From opportunity to execution — identify high-value use cases and help drive them from idea through to implementation.

  • Work at the forefront of change — bring emerging AI capabilities into a real-world, highly regulated industry.

What You’ll Do

  • Shape and drive AI initiatives from concept through to delivery, working across technology, data and business teams.

  • Act as a trusted AI evangelist, educating stakeholders and challenging assumptions around what AI can achieve.

  • Help define the organisation’s approach to AI adoption, experimentation and implementation.

Key Requirements

  • Strong experience across AI, machine learning, data science or AI engineering, with the technical depth to understand modern AI capabilities.

  • Experience shaping and driving AI initiatives, rather than purely delivering within an established roadmap.

  • Able to translate complex technical concepts into clear business opportunities and actionable strategies.

  • A genuine AI evangelist who keeps ahead of the technology landscape and understands where AI can create real value.

For more information, contact [email protected]

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 Senior AI Engineer role focuses on shaping and driving AI strategy and transformation within a major insurance sector technology overhaul, acting as both a technical expert and an AI evangelist to deliver real business outcomes.

  • AI strategy and business alignment·High
  • Technical depth in modern AI·High
  • Stakeholder influence and communication·High

Only have 30 minutes?

Follow a focused preparation plan based on this job.

Start 30-minute prep

Your 30-minute plan

  1. Review and Select Key AI Project Examples

    0–8 min

    Identify 2-3 relevant AI initiatives you have led, focusing on your role in shaping, delivering, and communicating business value.

  2. Practice Explaining Technical Concepts to Non-Technical Audiences

    8–14 min

    Rehearse clear, concise explanations of complex AI topics, using analogies or business-focused language.

  3. Research Latest AI Trends and Regulatory Considerations

    14–20 min

    Update yourself on emerging AI technologies and compliance challenges relevant to the insurance sector.

  4. Prepare Questions for the Interviewer

    20–25 min

    Draft thoughtful, role-specific questions to demonstrate your strategic thinking and engagement.

  5. Reflect on Stakeholder Engagement Experiences

    25–30 min

    Recall situations where you influenced or educated stakeholders about AI, and be ready to discuss outcomes.

Likely questions

, 6 items

Priority reflects how strongly this topic is emphasised in the job listing, not whether it will be asked.

Talking points

, 5 items

  • Leading AI Initiatives from Concept to Execution

    Demonstrate your experience in identifying, shaping, and delivering AI projects that move beyond established roadmaps, showing initiative and end-to-end ownership.

  • Translating AI Capabilities into Business Outcomes

    Showcase your ability to bridge the gap between technical AI solutions and tangible business value, especially in regulated industries.

  • AI Evangelism and Stakeholder Engagement

    Prepare examples of how you have educated, influenced, or challenged stakeholders to adopt or rethink AI solutions.

  • Staying Ahead of Emerging AI Technologies

    Highlight how you keep current with AI advancements and assess their practical application within an organization.

  • AI Adoption in Highly Regulated Environments

    Discuss your approach to implementing AI in sectors with strict compliance or legacy technology challenges.

What to research

, 4 items

  • Recent AI Initiatives Led

    Review and prepare to discuss specific examples where you shaped and delivered AI projects from concept to implementation.

  • AI Strategy in Transformation Contexts

    Be ready to explain your approach to defining and executing AI strategies during major technology transformations.

  • Stakeholder Communication Techniques

    Prepare examples of how you have communicated complex AI concepts to non-technical audiences and influenced decision-making.

  • Emerging AI Technologies

    Update yourself on the latest AI trends and be able to discuss how you evaluate and introduce new technologies.

Questions to ask

, 6 items
  1. What are the top business priorities driving this AI transformation?

    Why ask this? Clarifies the strategic context and helps you align your approach.

  2. How is success measured for AI initiatives in this transformation?

    Why ask this? Helps you understand expectations and key performance indicators.

  3. What are the main challenges the organization faces in adopting AI?

    Why ask this? Gives insight into potential obstacles and areas where your expertise can add value.

  4. How are cross-functional teams structured for AI projects?

    Why ask this? Clarifies collaboration models and your potential interfaces.

  5. What is the appetite for experimentation and risk-taking with new AI technologies?

    Why ask this? Reveals the organization's openness to innovation and your freedom to propose new ideas.

  6. How does the organization ensure compliance and manage risk when implementing AI in a regulated environment?

    Why ask this? Shows your awareness of industry constraints and helps you prepare for practical challenges.

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Apply NowApply before: 9 Nov 2026