At a Glance
- Tasks: Lead architectural strategy and execution for innovative product teams in analytics and workflows.
- Company: Accelerant, a forward-thinking tech company focused on collaboration and operational excellence.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a dynamic team that values innovation and collaboration.
- Why this job: Shape the future of technology with hands-on leadership and cutting-edge AI solutions.
- Qualifications: 8-12 years in software engineering, strong architectural skills, and experience with AI tools.
The predicted salary is between 72000 - 108000 € 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 Nottingham employer: Accelerant
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 strategies but also have the opportunity to mentor and grow alongside talented teams in a dynamic environment. With a strong focus on professional development and the integration of cutting-edge technologies, Accelerant offers a unique platform for meaningful contributions and career advancement in the heart of a vibrant tech community.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Architect in Nottingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Lead Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your architectural projects and contributions. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common architectural scenarios and be ready to discuss how you've tackled challenges in past roles.
✨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 are proactive about their job search.
We think you need these skills to ace Lead Architect in Nottingham
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Lead Architect role. Highlight your experience in operational architectural leadership and how you've influenced teams in the past. We want to see how you can fit into our collaborative environment!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Mention your proficiency in JavaScript/TypeScript, Node.js, and any experience with AI coding tools. We’re looking for someone who can hit the ground running, so let us know what you bring to the table.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the heart of your qualifications and experiences.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Accelerant
✨Know Your Architecture Inside Out
Make sure you have a solid understanding of architectural principles, design patterns, and distributed systems. Be ready to discuss how you've applied these in previous roles, especially in collaborative environments. This will show that you're not just theoretical but can also bring practical insights to the table.
✨Showcase Your Collaborative Spirit
Since this role is highly collaborative, prepare examples of how you've worked with cross-functional teams in the past. Highlight your experience in resolving technical conflicts and managing dependencies. This will demonstrate your ability to facilitate discussions and drive alignment across teams.
✨Be Ready to Discuss AI Integration
Given the focus on AI-driven development workflows, brush up on your experience with AI coding tools and how they can enhance productivity. Be prepared to share specific instances where you've leveraged AI in your projects, as this will showcase your forward-thinking approach.
✨Prepare for Technical Deep Dives
Expect to dive deep into technical discussions during the interview. Prepare to explain your thought process behind architectural decisions, including trade-offs you've made in complex systems. This will help the interviewers see your problem-solving abilities and your operational mindset.
