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
• Embed 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

Competencies

• Strong expertise in:
• Strong expertise in API design and integration patterns (REST, event-driven, asynchronous), including streaming and messaging;
• Familiarity with modern AI integration patterns such as agent orchestration, API/tool invocation, and agent-based workflows (e.g., MCP)
• Identity and security (OAuth2, JWT, RBAC)
• Scalable application and system architecture
• Working knowledge of:
• AI/ML systems integration and LLM-based architectures
• Data access patterns, pipelines, and governance considerations
• Strong communication skills across engineering and leadership audiences
• Experience driving architecture decisions across teams without direct authority
• Experience aligning technical decisions with business and product priorities

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