Architect

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.

Key Responsibilities

• Product Architecture & Strategy
  • 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)
• AI & Data Platform Enablement
  • 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
• Platform Integration & Standardization
  • 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”
• Responsible AI, Security & Governance
  • 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
• Delivery Engagement & 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
• Engineering Collaboration & Enablement
  • Partner 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
  • Promote reusable patterns, standards, and developer‑friendly approaches
  • Enable teams to integrate platform and AI capabilities with minimal friction
• Technical Debt, Risk & Scalability
  • 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
• Cross‑Product Alignment & Integration
  • 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

Required Education

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

Required 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

Required Competencies

• 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
• Ability to translate platform capabilities into product implementation patterns
• 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

Strongly 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 in 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
• Please note that this role requires a satisfactory Criminal Background Check and Public Safety Verification.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Bonus or Equity

• This position is also eligible for bonus as part of the total compensation package.

Pay Range

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