Lead Integration Architect

Agilent Technologies

1d•$183,648 - $286,950•Onsite

About The Position

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. This role owns integration architecture at the standards and governance level, establishing API design patterns, event-driven architecture standards, schema governance, and versioning frameworks that product teams adopt across the portfolio. You are a hands-on technical leader who bridges strategy and execution: defining the patterns, reviewing critical designs, and actively influencing teams to adopt consistent, scalable integration approaches.

Requirements

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 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 Haves

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

Responsibilities

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
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