Lead AI Solutions Architect - Reinsurance & Agentic Data

Lead AI Solutions Architect - Reinsurance & Agentic Data

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Michael James Associates

At a Glance

  • Tasks: Lead the design of AI and data solutions for a top Reinsurance client.
  • Company: Michael James Associates, a leader in innovative tech solutions.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Engage with C-suite stakeholders in a dynamic London market.
  • Why this job: Shape the future of AI in the insurance industry and work with cutting-edge technologies.
  • Qualifications: Experience in Agentic AI, Python, SQL, and cloud platforms like AWS.

The predicted salary is between 80000 - 100000 £ per year.

Michael James Associates is seeking an AI-focused Solutions Architect to support a Reinsurance client's Data and AI programme in London. You will oversee the technical architecture of AI and data solutions, ensuring they are architecturally sound and scalable.

The ideal candidate will have significant experience in:

  • Agentic AI development
  • Python
  • SQL
  • Cloud technologies such as AWS and Snowflake

London market/Insurance experience is vital, along with the capability to engage with C-suite stakeholders.

Lead AI Solutions Architect - Reinsurance & Agentic Data employer: Michael James Associates

Michael James Associates is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets expertise. With a strong focus on employee growth and development, we provide opportunities to engage with industry leaders while working on cutting-edge AI solutions in the reinsurance sector. Our collaborative culture fosters creativity and encourages professional advancement, making it a rewarding place for those passionate about technology and data.

Michael James Associates

Contact Details:

Michael James Associates Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead AI Solutions Architect - Reinsurance & Agentic Data

Dive Into Industry Networking Events

Get your foot in the door by attending insurance industry events and conferences. Not only will you learn about the latest trends, but you'll also meet potential employers and industry peers. Check out local chapters of professional bodies like the Chartered Insurance Institute for valuable meetups.

Use LinkedIn to Your Advantage

Don’t underestimate the power of LinkedIn in the insurance world. Engage with industry content, join relevant groups, and connect with professionals at companies you admire (like Michael James Associates). A thoughtful message explaining your interest can really make a difference!

Look Out for Graduate Schemes

Many firms in insurance have structured graduate programmes. Keep an eye on application windows and utilise your university's career services for insider tips. These schemes are designed to develop talent and often lead to permanent roles after your initial training.

Leverage Your Current Connections

Got friends or family in the industry? Now’s the time to reach out! Personal referrals can give you a head start, so let them know you're on the lookout for full-time opportunities at places like Michael James Associates. Don’t shy away from asking for a coffee chat; you never know what doors it might open!

We think you need these skills to ace Lead AI Solutions Architect - Reinsurance & Agentic Data

AI Solutions Architecture
Agentic AI Development
Python
SQL
Cloud Technologies
AWS
Snowflake

Some tips for your application 🫡

Highlight Your Analytical Skills:In insurance, we love a candidate who can crunch numbers and analyse data effectively. When crafting your CV, make sure to showcase any relevant coursework or experiences that highlight your analytical abilities, especially if you’ve tackled risk assessment or financial modelling.

Showcase Industry Knowledge:Don’t be shy about your knowledge of the insurance sector! We want to see that you've done your homework on current trends, regulations, and challenges in the industry. Mention any relevant projects or studies you’ve completed that demonstrate your understanding of the field in your cover letter.

Craft a Compelling Cover Letter:Your cover letter should tell us why you’re passionate about insurance. Share any personal experiences or what drew you into this profession. We’re looking for enthusiasm and a clear motivation for why you want to be part of our team at Michael James Associates.

Tailor Your CV for the Role:Don't just send a generic CV! Focus on tailoring it specifically for the insurance role at Michael James Associates. Highlight relevant skills such as risk management, customer service experience, or any certifications you've earned in the industry to make your application stand out.

How to prepare for a job interview at Michael James Associates

Know Your Numbers: Insurance Fundamentals

Brush up on your understanding of key insurance concepts, like underwriting principles and risk assessment. Expect the interviewer at Michael James Associates to throw some technical questions your way, so be ready to demonstrate your grasp of these essentials.

Showcase Your Analytical Side

In the insurance world, it's all about data. Prepare to discuss any analytical tools or methodologies you've used in past experiences. If you have a portfolio of projects where you've tackled complex data, bring that along to impress the team!

Prepare for Behavioural Questions

As a full-timer at Michael James Associates, they'll want to know how you handle real-life scenarios, not just theory. Think about challenges you've faced in teamwork or customer service, and how those experiences can relate to a career in insurance.

Know the Company Culture Inside Out

Understanding Michael James Associates's values and workplace culture is essential. Don’t just memorise their mission statement; think about how your personal values align with theirs. This will show your genuine interest in being part of their team long-term.