Job description
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 aProduct AreaLeadArchitectto provide hands on, operational architectural leadership for our Insights, Analytics & Workflows product area. This role operates at aPrincipal 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 fastwithout 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 workflowsacross teams, ensuring engineers leverage AI coding tools effectively
Guide team architects and coach senior engineerson 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
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.