Architect

About the role

As our Architect, you will be the technical authority for one or more core product lines, owning the end-to-end architecture and ensuring alignment with Accruent’s platform strategy. You will design scalable, secure, and AI-enabled product architectures that support both our core SaaS offerings and emerging AI-driven capabilities. You will operate at the intersection of product engineering, platform services (APIM, Identity, Data, AI), and business strategy, partnering closely with Engineering, Product Management, Data & AI teams, and TechOps to set standards, guide implementation, and drive execution.

Responsibilities

• Define and own the architecture vision, standards, and roadmap for assigned products or product lines

• Design scalable, high-performance, and resilient systems across application, integration, data, and AI layers

• Establish and maintain current-state and future-state architecture documentation

• Align product architecture with business priorities, customer needs, and platform strategy (Identity, APIM, Data, AI)

• Architect product capabilities that leverage AI/ML and GenAI services, including:

  • AI-assisted workflows and decisioning

  • Agent integrations and agent-driven experiences

  • Data-driven insights and predictive capabilities

• Partner with Data & AI teams to ensure:

  • Data pipelines, models, and services are scalable, secure, and production-ready

  • AI capabilities are integrated into products in a consistent and reusable manner

• Define architecture patterns for:

  • Model integration (APIs, event-driven, batch/real-time)

  • Data access and governance

  • AI service orchestration within product workflows

• Ensure consistent adoption of shared platform capabilities, including:

  • API Management (APIM)

  • Identity and access management (Auth0)

  • Data and integration platforms

  • AI/ML services and shared AI infrastructure

• Translate platform capabilities into practical, product-level implementations

• Identify platform gaps and help evolve reusable patterns and “paved roads”

• Contribute guardrails for responsible AI usage, including:

  • Data privacy and residency

  • Access control and identity propagation

  • Model usage governance and auditability

• Partner with Security and Data teams to ensure compliance with:

  • Enterprise security standards

  • Data governance requirements

• Contribute to architecture governance, including design reviews and ADRs

• Engage in delivery engagement and technical leadership, embedding with engineering teams to co-design solutions for key initiatives and roadmap delivery

• Lead architecture reviews, design sessions, and tradeoff discussions

• Ensure decisions are intentional, documented, and aligned across teams

• Balance speed vs quality, enabling rapid delivery without compromising architecture integrity

• Collaborate with Engineering, SRE, Ops, and Data teams on roadmap execution and delivery practices

• Provide hands-on architectural guidance and mentorship to engineers and tech leads

• Enable teams to integrate platform and AI capabilities with minimal friction

• Identify and mitigate:

  • Architectural risks

  • Performance and scalability concerns

  • AI and data-related risks (model performance, data drift, integration complexity)

• Own product-level technical debt strategy and prioritization

• Drive proactive architecture evolution rather than reactive fixes

• Ensure product architecture supports cross-product workflows and shared capabilities

• Promote consistency across:

  • APIs

  • Data models

  • AI integrations and services

• Contribute to a unified architecture vision supporting One Accruent platform strategy

Requirements

• B.S. in Computer Science, Engineering, or equivalent practical experience

• 8+ years in software engineering, solution architecture, or product architecture roles

• Experience designing cloud-based, distributed SaaS systems in production environments

• Experience integrating platforms across API, identity, data, and AI domains

• Experience working across multiple teams and influencing technical direction

Preferred Competencies

• Experience with:

  • API Management platforms (e.g., Azure APIM)

  • Identity platforms (e.g., Auth0)

  • Data platforms (data pipelines, analytics, or lakehouse architectures)

  • AI/ML platforms, LLM APIs, or agent-based systems

• Experience in multi-tenant SaaS architecture patterns

• Familiarity with hybrid or multi-cloud environments

• Experience with data platform integration (data pipelines, analytics, or data services)

• Experience to modernization initiatives (legacy migration, platform adoption, integration standardization)

• Experience with architecture governance processes (ADRs, design reviews)

• Exposure to AI-driven product capabilities (assistants, recommendations, automation)

Other Requirements

• Strong ownership mindset with focus on outcomes and continuous improvement

• Ability to operate across product, platform, and AI domains in a fast-paced environment

• Ability to work cross-functionally in a distributed team environment

Pay Range

The salary range for this position (in local currency) is 137,200.00 - 229,100.00