At a Glance
- Tasks: Lead architectural strategy and guide teams in building innovative, scalable systems.
- Company: Accelerant, a forward-thinking tech company focused on insights and analytics.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a dynamic environment that values innovation and teamwork.
- Why this job: Shape the future of technology while collaborating with talented teams and driving impactful projects.
- Qualifications: 8-12 years in software engineering, strong leadership skills, and experience with AI tools.
The predicted salary is between 80000 - 100000 € per year.
Accelerant is seeking a Product Area Lead Architect to provide hands-on, operational architectural leadership for our Insights, Analytics & Workflows product area. This role operates at a Principal level, influencing architecture and execution across multiple autonomous product teams. You will work closely with team architects, engineering managers, product managers, and Data Science teams to ensure teams move fast without fragmenting the architecture. This is not an ivory tower architecture role. It is highly collaborative, pragmatic, and operational, focused on identifying architectural gaps, managing dependencies, and enabling teams to execute confidently within a shared architectural framework. You will champion standards-based architecture, leveraging web standards, open protocols, and industry conventions to build interoperable, accessible, and future-proof systems.
Key Responsibilities
- Operational Architectural Leadership
- Ensure architectural alignment across product teams, partnering closely with team architects and engineering managers.
- Proactively identify architectural gaps, technical debt, and quality risks; drive resolution through collaboration and influence.
- Manage cross-team technical dependencies to enable independent, parallel execution.
- Translate architectural strategy into clear, actionable guidance that teams can apply sprint by sprint.
- Cross Team Coordination & Alignment
- Facilitate architectural discussions and resolve technical conflicts across teams through principled, pragmatic decision making.
- Act as an escalation point for complex cross-team technical challenges.
- Ensure architectural decisions are clearly communicated, understood, and consistently applied.
- Design and Innovation
- Define and maintain architectural patterns across backend services, APIs, data platforms, and front-end systems.
- Design scalable, resilient systems for analytics, workflow orchestration, and intelligence features.
- Guide decomposition of legacy systems into well-defined services and domains.
- Evaluate technologies and data stores, favouring open standards and long-term maintainability.
- Architect distributed systems with focus on reliability, fault tolerance, and scalability.
- Standards & Governance
- Establish API design standards ensuring consistency, discoverability, and ease of integration.
- Define front-end standards prioritising web platform capabilities, progressive enhancement, and accessibility (WCAG).
- Create governance frameworks that balance standardisation with team autonomy.
- Drive adoption of industry standards (OAuth2, OpenID Connect, OpenTelemetry, JSON:API) over proprietary alternatives.
- Technical Leadership
- Partner with engineering teams on design reviews, PR reviews, and implementation guidance.
- Establish standards for cross-cutting concerns: API versioning, auth, observability, error handling, and resiliency patterns.
- Collaborate with platform and DevOps teams on containerisation, CI/CD, and cloud-native deployment.
- Produce clear technical design documentation that drives alignment and knowledge sharing.
- Mentor engineers and raise the overall architectural maturity of the organisation.
- GenAI, ML & AI Architecture
- Architect customer-facing GenAI features using LLMs, including RAG pipelines, prompt engineering frameworks, and conversational AI interfaces.
- Define patterns for ML model integration: serving endpoints, API contracts, versioning, and health monitoring.
- Partner with Data Science to translate models into production-grade features with clear integration contracts and deployment workflows.
- Establish standards for responsible AI, including evaluation criteria, privacy guardrails, and LLM output validation.
- AI Transformation & Productivity Leadership
- Scale AI-driven development workflows across teams, ensuring engineers leverage AI coding tools effectively.
- Guide team architects and coach senior engineers on using AI tools to enhance productivity and code quality.
- Work hands-on with teams to identify opportunities for AI to solve operational challenges and improve velocity.
- Solution Evaluation & Quality Assurance
- Evaluate and recommend technologies to enhance capabilities across analytics, workflow, and intelligence domains.
- Ensure architectural integrity through code reviews, assessments, and continuous monitoring.
- Proactively identify technical risks and devise strategies for reliability, security, and performance.
Technical Requirements
- Full Stack SaaS Architecture: Strong proficiency in modern JavaScript/TypeScript and Node.js. Deep knowledge of web platform fundamentals and browser native capabilities. Experience designing and evolving well-structured APIs for platform integrations.
- Architectural & Systems Thinking: Deep knowledge of architecture principles, design patterns, and distributed systems. Proven ability to make pragmatic trade-offs in complex, evolving systems. Experience in cloud-native environments, preferably AWS.
- AI Enabled Engineering: Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, Claude, etc.). Understanding of AI applications for development productivity and code quality improvement.
Qualifications
- 8 to 12+ years in software engineering and architecture roles.
- Proven experience operating across multiple agile teams in an architectural leadership capacity.
- Track record of managing cross-team dependencies and bridging architectural vision with day-to-day execution.
- Proven ability to drive AI adoption and transformation within engineering organisations.
- Excellent communication and facilitation skills with ability to align work across distributed teams.
- Pragmatic, operational mindset with strong problem-solving abilities.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Lead Architect in London employer: LinkedIn
At Accelerant, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Lead Architect, you will not only influence architectural decisions but also have the opportunity to mentor and grow alongside talented teams in a dynamic environment. With a focus on operational excellence and cutting-edge technology, we offer a unique chance to shape the future of our Insights, Analytics & Workflows product area while enjoying a supportive atmosphere that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to architectural leadership. Think about how you would handle cross-team dependencies or resolve technical conflicts, as these are key aspects of the role.
✨Tip Number 3
Showcase your hands-on experience! Be ready to discuss specific projects where you’ve influenced architecture and led teams. Use examples that highlight your collaborative approach and ability to drive standards-based architecture.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead Architect in London
Some tips for your application 🫡
Show Your Collaborative Spirit:In your application, let us see how you thrive in a team environment. Highlight experiences where you've worked closely with others to solve architectural challenges or manage dependencies. We love a good team player!
Be Pragmatic and Clear:When detailing your experience, focus on practical examples that demonstrate your ability to make sound architectural decisions. Use straightforward language to explain how you've tackled complex problems and delivered results.
Highlight Your Technical Leadership:Make sure to showcase your experience in leading architectural discussions and mentoring teams. We want to know how you've influenced architectural standards and guided teams through technical challenges.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at LinkedIn
✨Know Your Architecture Inside Out
Make sure you have a solid understanding of architectural principles and design patterns, especially those relevant to the role. Be prepared to discuss how you've applied these in past projects, particularly in cloud-native environments like AWS.
✨Showcase Your Collaboration Skills
This role is all about teamwork, so be ready to share examples of how you've worked with cross-functional teams. Highlight your experience in resolving technical conflicts and managing dependencies, as this will demonstrate your ability to facilitate architectural discussions.
✨Prepare for Technical Challenges
Expect to face complex technical scenarios during the interview. Brush up on your problem-solving skills and be ready to discuss how you've tackled architectural gaps or technical debt in previous roles. Think about specific examples where you drove resolution through collaboration.
✨Emphasise Your AI Experience
Given the focus on AI and GenAI features, be prepared to talk about your experience with AI coding tools and how you've integrated AI into development workflows. Share any relevant projects that showcase your ability to enhance productivity and code quality using AI.
