At Agilent, we inspire and support discoveries that advance the quality of life by providing trusted answers to our customers' most critical scientific and laboratory questions. The Software & Informatics Division is one of Agilent's fastest-growing businesses, and this role is pivotal in modernizing our OpenLab Suite — accelerating the next generation of scientific software that our global customers rely on every day.
We are seeking an experienced Software Modernization Enablement Lead Engineer to drive the digital transformation of our legacy systems. In this role, you will design the standardized, scalable processes and tools that accelerate developer productivity and software modernization at scale. You will pioneer the use of generative AI and autonomous AI agents to automate code translation, extract scientific algorithms and business logic, and accelerate migration to our next-generation platform — bridging traditional enterprise systems with cutting-edge software engineering.
This is an ideal opportunity for a self-starter who is innovative, passionate about delivering world-class software, and energized by a fast-paced, next-generation product development environment. You will continuously monitor industry trends and apply emerging technologies to deliver measurable value to our customers.
Key ResponsibilitiesArchitect AI-Driven Migration Methodology: Design and execute methodologies and tooling to refactor, rearchitect, and translate legacy codebases into modern, cloud-native architectures using AI-augmented tools.
Build Agentic AI Workflows: Develop and implement multi-agent AI workflows to automate code analysis, logic extraction, and documentation generation.
Ensure Code Quality: Establish automated and "Human-in-the-Loop" verification frameworks so AI-generated code is secure, performant, and compliant.
Automate Testing: Integrate AI tools to automatically generate, execute, and maintain comprehensive unit and integration test suites throughout code translation.
Education: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
Experience: 8+ years in software engineering, including a minimum of 3 years in AI application development and demonstrated experience in enterprise application modernization.
AI/LLM Integration: Hands-on experience building multi-agent AI workflows for code analysis and logic extraction; composable-skills frameworks for legacy modernization; and agentic orchestration for code generation, documentation, and test synthesis.
Legacy & Modern Languages: Deep expertise in modern languages (.NET C#, ASP.NET Core, Python, Java, Go) and strong familiarity with legacy enterprise environments (WPF, WCF, ASP, C++, C#, or mainframe architectures).
Cloud Platforms & Infrastructure: Hands-on experience with Kubernetes, containerization, microservices, hybrid edge-to-cloud topologies, and major cloud providers (AWS, Azure). Strong conceptual command of any major cloud platform is expected at the expert level.
CI/CD & DevOps: Advanced knowledge of automated pipelines, Infrastructure as Code (IaC), automated unit and integration test pipelines, and Human-in-the-Loop verification frameworks.
Platforms & Data: Familiarity with both Windows and Linux environments and database technologies.
Communication & Collaboration: Excellent communication skills with the ability to evaluate solutions through both short-term and long-term lenses in an iterative development cycle, and a track record of working effectively across diverse, cross-functional teams.
Additional Details
This job has a full time weekly schedule. Applications for this job will be accepted until at least June 30, 2026 or until the job is no longer posted.The full-time equivalent pay range for this position is $172,512.00 - $269,550.00/yr 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/locationsAgilent 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 orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email [email protected] or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required: OccasionalShift: DayDuration: No End DateJob Function: R&DSkills Required
- Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical field.
- 8+ years in software engineering with a minimum of 3 years in AI application development and enterprise application modernization.
- Hands-on experience building multi-agent AI workflows, composable-skills frameworks, and agentic orchestration for code generation, documentation, and test synthesis.
- Expertise in modern languages: C#, ASP.NET Core, Python, Java, Go.
- Familiarity with legacy enterprise environments: WPF, WCF, ASP, C++, C#, or mainframe architectures.
- Hands-on experience with Kubernetes, containerization, microservices, and hybrid edge-to-cloud topologies.
- Experience with major cloud providers (AWS, Azure) and expert conceptual command of cloud platforms.
- Advanced knowledge of CI/CD, Infrastructure as Code (IaC), automated unit and integration test pipelines, and Human-in-the-Loop verification frameworks.
- Familiarity with Windows and Linux environments and database technologies.
- Excellent communication skills and ability to work effectively across diverse, cross-functional teams.
Agilent Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Agilent Technologies and has not been reviewed or approved by Agilent Technologies.
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Retirement Support — The core U.S. package highlights a generous 401(k) match as a strength. Retirement programs are positioned as competitive within the company’s total rewards.
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Equity Value & Accessibility — An Employee Stock Purchase Plan at a discount provides accessible equity and augments total compensation. Ownership opportunities are presented as a notable advantage alongside retirement benefits.
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Leave & Time Off Breadth — Flexible Time Off, company holidays, a personal holiday, and paid volunteer time create a broad leave offering. Time off can accrue into multiple weeks in the first year, supporting flexibility.
Agilent Technologies Insights
What We Do
Analytical scientists and clinical researchers worldwide rely on Agilent to help fulfill their most complex laboratory demands. Our instruments, software, services and consumables address the full range of scientific and laboratory management needs—so our customers can do what they do best: improve the world around us. Whether a laboratory is engaged in environmental testing, academic research, medical diagnostics, pharmaceuticals, petrochemicals or food testing, Agilent provides laboratory solutions to meet their full spectrum of needs. We work closely with customers to help address global trends that impact human health and the environment, and to anticipate future scientific needs. Our solutions improve the efficiency of the entire laboratory, from sample prep to data interpretation and management. Customers trust Agilent for solutions that enable insights...for a better world.
