Agilent is expanding its AI capabilities across scientific, service, commercial, and operational functions. We are building a team of engineers who can help design, deploy, and scale trusted AI solutions that create measurable business impact.
We're interested in connecting with experienced professionals across AI Engineering, AI Data Engineering, and related technical disciplines who are passionate about applying AI in real-world environments. Depending on your background and interests, opportunities may focus on AI applications, agentic systems, retrieval foundations, AI-ready data products, platform engineering, or the underlying capabilities that enable AI at scale.
You will work within cross-functional AI pods alongside engineers, domain experts, business stakeholders, and platform teams to turn complex business challenges into practical, production-ready solutions.
What You May Work On
Building production AI applications, agents, and AI-enabled workflows.
Designing retrieval foundations for AI solutions, including RAG, vector search, semantic enrichment, and knowledge assets.
Developing AI-ready data products with strong foundations in quality, governance, lineage, and reuse.
Creating reusable capabilities, patterns, and assets that accelerate future AI use cases across the enterprise.
Applying evaluation, monitoring, observability, and governance practices to ensure reliable AI outcomes.
Partnering directly with domain experts to understand workflows and translate business needs into scalable technical solutions.
Leveraging AI-assisted approaches such as metadata generation, entity resolution, and content classification to improve data quality and discoverability.
We're Particularly Interested in Professionals with Experience In:
AI Engineering
AI agents and Agentic Workflows
Retrieval-Augmented Generation (RAG)
LLM application development
AI evaluation and observability
AI orchestration and integration
Production AI deployment
AI Data Engineering
Data products and data contracts
AI-ready data foundations
Metadata management and semantic enrichment
Retrieval architecture
Vector databases and graph technologies
Data quality, governance, and lineage
Software & Platform Engineering
Full-stack software development
Distributed systems and APIs
Cloud platforms and enterprise integration
Platform engineering
Identity, access, and governance controls
What We're Looking For:
Technical Expertise
Experience building software, AI, platform, or data solutions in production environments.
Familiarity with modern AI technologies, data platforms, and enterprise architectures.
Strong engineering foundations and commitment to quality, reliability, and reusability.
Domain & Delivery Mindset
Strong problem-solving skills and comfort operating in ambiguous environments.
Ability to partner closely with business stakeholders, domain experts, and technical teams.
An instinct to build solutions that can scale beyond a single project or use case.
Communication & Influence
Strong communication skills and the ability to collaborate across technical and non-technical audiences.
Ability to explain complex concepts clearly and build credibility through expertise and partnership.
Curiosity & Growth Mindset
Curiosity about AI, both its opportunities and limitations.
Commitment to continuous learning in a rapidly evolving field.
Education & Seniority
Bachelor's or Master's degree, or equivalent practical experience.
Typically, 6+ years of relevant experience in software engineering, AI engineering, data engineering, machine learning, platform engineering, or related disciplines.
Additional Details
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/locationsAgilent 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.Travel Required: 10% of the TimeShift: DayDuration: No End DateJob Function: R&DSkills Required
- Experience building software, AI, platform, or data solutions in production environments
- Familiarity with modern AI technologies, data platforms, and enterprise architectures
- Strong engineering foundations and commitment to quality, reliability, and reusability
- Strong problem-solving skills and ability to operate in ambiguous environments
- Ability to collaborate with business stakeholders, domain experts, and technical teams
- Strong communication skills across technical and non-technical audiences
- Bachelor's or Master's degree, or equivalent practical experience
- Typically 6 or more years of relevant experience in software engineering, AI engineering, data engineering, machine learning, platform engineering, or related disciplines
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.
-
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.
-
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.
-
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.
.png){kind=logo}
