Lead Integration Architect

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OtherIntegration Architect

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Quick Summary

Key Responsibilities

Design and own integration architecture solutions across the software platform, instruments, applications, and enterprise systems Define integration standards and reference architectures: API design,

Requirements Summary

10+ years of software engineering or architecture experience,

Technical Tools

OtherIntegration Architect

Agilent Technologies is connecting a diverse portfolio of instruments, applications, and platform services into a unified software ecosystem. The Lead Integration Architect is a senior individual contributor role responsible for defining and operationalizing the integration architecture standards and reference patterns that enable interoperability across Agilent's software platform and partner divisions.

Responsibilities

~1 min read

→Design and own integration architecture solutions across the software platform, instruments, applications, and enterprise systems
→Define integration standards and reference architectures: API design, event-driven patterns, schema governance, and versioning, and validate their implementation in practice
→Architect and hands-on guide containerized integration solutions using Kubernetes, ensuring platform-grade reliability, scalability, and operability
→Review and approve critical integration designs across product teams, making binding architecture decisions where standards are at stake
→Build and maintain a library of reusable integration patterns and reference implementations, working code and blueprints, not just documentation
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Provide architecture leadership for integrations involving connected instruments, laboratory systems, IoT devices, and edge computing environments, ensuring secure, reliable, and scalable data exchange between physical products and software platforms.
→Partner across divisions as the go-to integration authority, solving complex cross-system and cross-organizational architecture problems directly
→Define integration contracts between platform services, instruments, and enterprise systems, owning technical quality of those interfaces
→Identify and actively remediate integration patterns that introduce technical debt, bypass governance, or create cross-team coupling risks

Requirements

~1 min read

10+ years of software engineering or architecture experience, with 5+ years in hands-on integration architecture roles
Deep practical expertise across the full integration stack: REST/GraphQL API design, event-driven architecture (Kafka, MQTT, or equivalent), asynchronous messaging, and schema governance
Strong hands-on experience with Kubernetes, deploying, operating, and architecting containerized workloads at platform scale
Experience with Docker and cloud-native deployment patterns across edge and cloud environments
Demonstrated experience architecting integrations for connected devices, instruments, industrial equipment, IoT platforms, or similar hardware-centric ecosystems.
Strong understanding of device connectivity, telemetry, edge computing, machine-to-cloud communication, and real-time data integration patterns.
Demonstrated track record of delivering integration solutions, not just defining patterns but owning their design and technical quality through implementation
Experience setting and enforcing API versioning, schema management, and contract-based integration standards
Ability to make and defend binding architecture decisions across teams with competing priorities

Nice to Have

~1 min read

Experience in scientific instrumentation, laboratory software, or regulated industries (life sciences, diagnostics)
Familiarity with service mesh, API gateway, and platform-level integration infrastructure
Experience integrating AI/ML inference services and data pipelines through governed integration patterns
Background working across organizational boundaries, integrating systems owned by separate divisions or external partners
Exposure to GitOps, infrastructure-as-code, and DevSecOps practices in a platform engineering context

This job has a full time weekly schedule.

Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locations

Agilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

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