Director of Architecture

Tangent International
Leeds
1 year ago
Applications closed

Related Jobs

View all jobs

Software Engineer - (Machine Learning Engineer) - Hybrid

Senior Consultant – Data Scientist

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Data Scientist / Software Engineer

Lead Pricing Data Scientist

Director of Architecture


Director of Architecture. Join an innovative leader in the financial crime and fraud prevention space as a Director of Architecture. In this role, you'll guide a team of architects to ensure the scalability, performance, and architectural integrity of cutting-edge Machine Learning software solutions in the fraud prevention industry. We're seeking a technical leader with deep expertise in enterprise cloud architectures and fraud product development to shape the future of our clients technology landscape.


Role Overview:

In this pivotal role, you’ll oversee the architecture of high-performance, cloud-native solutions, ensuring the company remains at the forefront of the rapidly evolving fraud prevention landscape. Leading a team of top-tier architects, you’ll drive innovation, scalability, and security across platforms with a focus on building their Machine Learning capability from the ground up. You’ll be responsible for defining a future state architectural vision, aligning it with business goals, and leading transformative change across the organisation.


Key Responsibilities:

  • Lead architectural strategies for fraud detection platforms, data analytics, and security solutions, ensuring continuous scalability and innovation.
  • Oversee architectural decisions, focusing on high-availability transactional systems (99.99-99.999%) essential to financial institutions.
  • Drive the migration of legacy systems to cloud-native platforms while ensuring minimal disruption to customers.
  • Evangelize a future state architecture that aligns with business objectives, creating buy-in across the organisation.
  • Implement microservices architectures to enhance modularity and ease of scaling.
  • Collaborate with Product, Engineering, and Operations teams to align technology with business objectives.
  • Present architectural strategies to senior leadership and external partners.


Must-Have Technical Experience:

  • Proven success in developing fraud prevention products, with experience building real-time, high-availability systems.
  • Expertise in Machine Learning
  • Expertise in cloud architectures (SaaS, on-premises, and hybrid) and complex system migrations.
  • Expertise with data science, AI, and machine learning concepts.
  • Hands-on technical proficiency, with the ability to earn respect from highly skilled technical teams.
  • Knowledge of SAFe (Scaled Agile Framework) for managing large-scale, agile practices.


Industry Background:

  • Fraud domain expertise and experience in the banking or financial services industry.
  • Experience leading architecture within a software development environment.


Key Competencies:

  • 5+ years of leadership experience with a proven ability to manage and develop teams.
  • Expertise with data science, AI, and machine learning concepts.
  • Strong interpersonal skills, fostering a collaborative and accountable team culture.
  • Ability to communicate complex technical concepts effectively to senior leadership and external partners.
  • Demonstrated thought leadership and ability to align technical strategies with business goals.


Why Join:

  • Lead the architecture for mission-critical fraud prevention solutions.
  • Join a global tech team of 130+, with the architecture team (you direct reports) currently at 3 and growing.
  • Highly competitive package, including equity, benefits, and remote working flexibility.
  • Be part of a fast-growing company at the forefront of fraud prevention technology.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.