Architect

Fortive•Austin, TX

41d

About The Position

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.

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
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)
Strong expertise in Identity and security (OAuth2, JWT, RBAC)
Strong expertise in Scalable application and system architecture
Working knowledge of AI/ML systems integration and LLM-based architectures
Working knowledge of 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
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
Satisfactory Criminal Background Check and Public Safety Verification

Nice To Haves

Experience with API Management platforms (e.g., Azure APIM)
Experience with Identity platforms (e.g., Auth0)
Experience with Data platforms (data pipelines, analytics, or lakehouse architectures)
Experience with 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)

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, and data-driven insights and predictive capabilities
Partner with Data & AI teams to ensure data pipelines, models, and services are scalable, secure, and production-ready, and that 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, and 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, and 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, and model usage governance and auditability
Partner with Security and Data teams to ensure compliance with enterprise security standards and data governance requirements
Contribute to architecture governance, including design reviews and ADRs
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
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
Identify and mitigate architectural risks, performance and scalability concerns, and 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, and AI integrations and services
Contribute to a unified architecture vision supporting One Accruent platform strategy