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Product Area Lead Architect (EU, UK, US)

AccelerantAustria, Belgium + 27 more

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About Accelerant

Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. For more information, please visit .

Location: Remote
Department: Product & Technology
Reports to: Director of Engineering

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Product Area Lead Architect (EU, UK, US)

AccelerantAustria, Belgium + 27 more

Apply now

Opens the original posting.

Apply now

Share job

Copy link or share on social media.

Apply on the original site

Companies in this catalog do not charge applicants. Never send money to apply.

About Accelerant

Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. For more information, please visit .

Location: Remote
Department: Product & Technology
Reports to: Director of Engineering

Product Area: Insights, Analytics & Workflows

Job Description

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 championstandards basedarchitecture, 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 qualityrisks;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, andfront endsystems
Design scalable, resilient systems for analytics, workflow orchestration, and intelligence features
Guide decomposition of legacy systems intowell definedservices and domains
Evaluate technologies and data stores, favoring open standards andlong termmaintainability
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 prioritizing web platform capabilities, progressive enhancement, and accessibility (WCAG)
Create governance frameworks that balance standardization 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 containerization, 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 organization
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 evolvingwell structuredAPIs for platform integrations

Architectural & Systems Thinking:

Deep knowledge of architecture principles, design patterns, and distributed systems
Proven ability to make pragmatic tradeoffs 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 withday to dayexecution
Proven ability to drive AI adoption and transformation within engineering organizations
Excellent communication and facilitation skills with ability to align work across distributed teams
Pragmatic, operational mindset with strongproblem solvingabilities
Bachelor’s orMaster’s degree in Computer Science, Engineering, or related field
Originally posted on Himalayas

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Technology Leadership