Agilent’s ACG R&D organization is seeking a Software Architect to help define and evolve enterprise software platforms that support service operations and customer-facing analytics solutions. This role focuses on architecture, technical leadership, and cross‑functional collaboration.

You will work in a globally distributed, fully remote team building SaaS platforms, analytics, and monitoring solutions that integrate laboratory instruments, customer environments, and Agilent enterprise systems.

Key Responsibilities

• Define and evolve software architecture for large‑scale SaaS, analytics, and monitoring platforms.
• Translate product and business concepts into feasible technical solutions through requirements, architecture design, and proof‑of‑concepts.
• Partner with product, marketing, engineering, and leadership to align solutions with business goals.
• Architect event‑driven, data‑centric, and enterprise‑integrated systems.
• Evaluate emerging technologies, including AI‑enabled capabilities, and guide technical adoption.
• Provide architectural guidance, documentation, and technical direction to development teams.
• Clearly communicate architectural concepts to technical and non‑technical stakeholders.
• Ensure solutions are scalable, performant, maintainable, and meet regulatory requirements (ISO, GDPR, EU CRA, etc) and follow best practices in cybersecurity.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
• 8+ years of professional software development experience, including senior or architectural responsibilities.
• Hands‑on software development background with the ability to guide engineering teams (this role is not primarily coding‑focused).
• Experience designing enterprise or B2B cloud platforms, including SaaS, data/analytics, or monitoring systems.
• Strong understanding of data-centric architectures, including batch/streaming pipelines, data models, and integration patterns.
• Strong knowledge of cloud-native architectures, microservices, APIs, web app frameworks, containerization, and DevOps practices.
• Excellent communication and stakeholder engagement skills with both technical and non-technical groups.

Preferred Experience

• Experience in life sciences, laboratory informatics, scientific instruments or other regulated enterprise environments.
• Designing analytics or data platforms, including lakehouse architectures, real-time streaming, metadata management, or monitoring/observability systems.
• Familiarity with AI/ML concepts, MLOps processes, data governance, and model lifecycle considerations.
• Experience with IoT/edge architectures, telemetry ingestion, digital twins, or instrument fleet management.
• Experience with agile development methodologies and distributed team collaboration.

Additional Details

La fourchette salariale au Canada de ce poste est de 110,186.00$ à 194,381.00$ CA par an, et le titulaire est admissible à des primes, à des actions et à des avantages sociaux. Nos fourchettes salariales sont déterminées en fonction du rôle, du niveau et de l’emplacement. À l’intérieur de la fourchette, la rémunération individuelle est déterminée par le lieu de travail et d’autres facteurs, notamment les compétences liées à l’emploi, l’expérience et les études ou la formation pertinentes. Au cours du processus d’embauche, un recruteur peut fournir des renseignements sur l’échelle salariale particulière d’un lieu de travail donné. Vous trouverez des renseignements complémentaires à https://careers.agilent.com/locations/americas/canada.

This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least April 1, 2026 or until the job is no longer posted.

The full-time equivalent pay range for this position is $143,760.00 - $240,349.00/yr USD in the US, or $110,186.00 - $194,381.00/yr CAD in Canada, plus eligibility for bonus, stock and benefits. 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 Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual