
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
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
Strong expertise in:
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
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)
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.
Personal development and becoming the best you is all about growth and exploring new skills and opportunities – both in and out of the office. At Accruent, we call this Grow Without Limits, and we’re proud to offer each of our employees the resources, coaching and support necessary to achieve Growth Without Limits in their personal and professional lives. Explore where the path takes you.
Bonus or Equity
Pay Range
The salary range for this position (in local currency) is 137,200.00 - 229,100.00
Originally posted by Advanced Sterilization Products. View original posting
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