Architect
Job Location:
Job Location:
Austin, TX - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
6 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Department:
Job Summary
Description
As our Architect you will be the technical authority for one or more core product lines owning the endtoend architecture and ensuring alignment with Accruents 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
- Architect product capabilities that leverage AI/ML and GenAI services including:
- 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
- Ensure consistent adoption of shared platform capabilities including:
- 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
- Contribute guardrails for responsible AI usage including:
- 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
- Identify and mitigate:
- 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:
- 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 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
- 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.
Required Experience:
Staff IC
About Company
Fortive Corporation Overview Fortive’s essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product d ... View more
