Barcelona, Catalonia, Spain · On-site
Job Description Agilent inspires and supports discoveries that advance the quality of life by providing life science, diagnostic, and applied market laboratories worldwide with instruments, services, consumables, applica…
Skills: Artificial Intelligence, LLM Application, Agentic Systems, RAG, Orchestration Patterns
Wilmington, Delaware, United States · Remote OK
$114k–$178k/yr
Job Description The Global Senior Sales Incentive Compensation Design Analyst is a global subject matter expert responsible for advanced sales incentive design analysis, plan modeling, business case translation, market b…
Skills: Sales Incentive Design, Compensation Analysis, Financial Modeling, Data Analytics, Business Strategy
Windsor, Nova Scotia, Canada · On-site
$83k–$130k/yr
Job Description Performs a variety of engineering duties to support manufacturing operations. Improves products, processes and applications to meet agreed-upon objectives. May redesign products to meet cost objectives, o…
Skills: Manufacturing engineering, Process improvement, Product design, Supply chain management, Standard operating procedures
Barcelona, Catalonia, Spain · On-site
Job Description Agilent inspires and supports discoveries that advance the quality of life by providing life science, diagnostic and applied market laboratories worldwide with instruments, services, consumables, applicat…
Skills: AI Product Management, LLM Applications, RAG, Agentic Workflows, Stakeholder Management
Barcelona, Catalonia, Spain · On-site
Job Description Agilent inspires and supports discoveries that advance the quality of life by providing life science, diagnostic and applied market laboratories worldwide with instruments, services, consumables, applicat…
Skills: Data Engineering, AI Consumption, Microsoft Fabric, Snowflake, RAG
Middelburg, Zeeland, Netherlands · Hybrid
Job Description Life Science Business Development Intern Agilent inspires and supports discoveries that advance the quality of life. We provide life science, diagnostic and applied market laboratories worldwide with inst…
Skills: Business development, Market analysis, Sales support, Customer communication, Order forecasting
Wilmington, Delaware, United States · Hybrid
$35/hr–$56/hr
Job Description This is a hybrid position requiring employees to work on-site at least three (3) days per week. Relocation assistance is not available for this role. Job Summary The Reverse Logistics Specialist plays a c…
Skills: Reverse logistics, Supply chain management, Order management, Asset recovery, Customer service
Melbourne, Victoria, Australia · Remote OK
$168k–$315k/yr
Job Description We’re looking for a Lead, AI Engineering & SDLC Automation (Director) to define and lead PSD’s AI-enabled engineering automation strategy, roadmap, and delivery function. This role will lead a team respon…
Skills: AI Engineering, SDLC Automation, Platform Engineering, DevOps, Developer Productivity
Basel, Basel-City, Switzerland · Remote OK
Job Description As a Key Account Manager covering strategic large and midsize accounts you will be member of the dynamic Agilent sales team. In this crucial sales role, you will utilize your expertise and technical knowl…
Skills: Key account management, Sales strategy, Analytical chemistry, Chromatography, Mass spectrometry
Changzhou, Jiangsu, China · Remote OK
Job Description 1.负责东区的ICPMS\ICPOES\AAS\分子光谱等仪器的安装、维护、维修以及培训等售后工作； 2.解决用户使用仪器时遇到的问题； 3.以客户为中心，了解用户需求，通过专业的服务赢得用户认可。 Qualifications 1.化学、环境、材料等相关专业，硕士及以上学历； 2.熟悉仪器分析等相关知识，具有良好的沟通和表达能力及团队协作精神，英语良好； 3.有电学和化学理论基础，良好的动手能力； 4.…
Skills: ICPMS, ICPOES, AAS, Molecular Spectroscopy, Instrument Installation
District of Columbia, United States · Remote OK
$110k–$197k/yr
Job Description We are seeking a highly motivated, results-driven Account Manager with strong business acumen to drive growth across the Cellular and Molecular Research (CMR) portfolio. This role is responsible for ownin…
Skills: Consultative selling, Business acumen, Sales strategy, Account management, Molecular biology
Hyderabad, Telangana, India · Remote OK
Job Description Agilent inspires and supports discoveries that advance the quality of life. We provide life science, diagnostic and applied market laboratories worldwide with instruments, services, consumables, applicati…
Skills: Managed PKI, Certificate Lifecycle Management, Cloud HSM, Prisma Access Browser, Microsoft Entra ID
Kunming, Yunnan, China · Remote OK
Job Description 岗位职责 •负责安捷伦光谱仪器的安装、培训、维护、维修等服务； •与销售、售前及应用工程师等团队紧密合作； •主动发掘客户需求，通过专业的技术和服务为客户提供解决方案。 Qualifications 岗位要求 •化学、食品、环境、药学、材料学、精密仪器等相关专业本科及以上学历，熟悉分析仪器原理。 •出色的人际交往和沟通能力，动手能力强。 •抗压性好，适应出差。 Additional Details Thi…
Skills: Spectroscopy, Instrument Installation, Technical Training, Maintenance, Repair
Waldbronn, Baden-Württemberg, Germany · Remote OK
$144k–$270k/yr
Job Description We’re seeking a Lead, SDLC Security Engineering (Manager) to lead the implementation, operation, and adoption of security tooling, automated guardrails, and secure SDLC practices across the Productivity S…
Skills: SDLC Security Engineering, Application Security, Cloud Security, DevSecOps, CI/CD Security Automation
Milan, Lombardy, Italy · Hybrid
$31k–$52k/yr
Job Description Agilent inspires and supports discoveries that advance the quality of life. We provide life science, diagnostic and applied market laboratories worldwide with instruments, services, consumables, applicati…
Skills: Inside sales, Customer engagement, Service based selling, Prospecting, Objection handling
Ahmedabad, Gujarat, India · On-site
Job Description Responsible for supporting customers through on-site activities such as installation, implementation, maintenance and repair of company and multi-vendor systems solutions which may include hardware, softw…
Skills: Hardware installation, Software installation, Network configuration, Preventive maintenance, Product repair
Mumbai City, Maharashtra, India · On-site
Job Description Responsible for supporting customers through on-site activities such as installation, implementation, maintenance and repair of company and multi-vendor systems solutions which may include hardware, softw…
Skills: Hardware installation, Software installation, Network configuration, Product diagnostics, Preventive maintenance
Hyderabad, Telangana, India · Remote OK
Job Description Responsible for supporting customers through on-site activities such as installation, implementation, maintenance and repair of company and multi-vendor systems solutions which may include hardware, softw…
Skills: Hardware installation, Software installation, Network configuration, Preventive maintenance, Product repair
New Delhi, Delhi, India · On-site
Job Description Responsible for supporting customers through on-site activities such as installation, implementation, maintenance and repair of company and multi-vendor systems solutions which may include hardware, softw…
Skills: Hardware installation, Software installation, Network configuration, System maintenance, Repair services
Bengaluru, Karnataka, India · On-site
Job Description Responsible for supporting customers through on-site activities such as installation, implementation, maintenance and repair of company and multi-vendor systems solutions which may include hardware, softw…
Skills: Hardware installation, Software configuration, Network troubleshooting, Preventive maintenance, Technical support
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The AI Harness Engineer is responsible for designing and building agentic systems, RAG workflows, and orchestration patterns within the AI platform. They ensure quality, observability, and compliance in production while collaborating with domain experts to integrate these solutions into existing workflows.
Candidates must have full-stack engineering strength with proven experience in deploying LLM applications, agents, and RAG systems in production environments. Strong communication skills and the ability to work within regulated environments are essential, along with a bachelor's or master's degree and 8+ years of relevant experience.
Agilent inspires and supports discoveries that advance the quality of life by providing life science, diagnostic, and applied market laboratories worldwide with instruments, services, consumables, application, and both measurement and asset management expertise.
The single point of contact in the pod for architecture, reuse, and quality; builds agents and evals into delivery. This is the engineering edge of the forward-deployed model: building working agentic systems inside real workflows, sitting with the users, learning the domain, and shipping into the tools the experts already live in.
The defining discipline of the role is building agents on the AI platform: consuming certified data products, authoring skills against the registry, integrating through the MCP spine, promoting through eval gates, and ensuring governance.
Responsible for
Architecture and build approach for the pod's use case: agents, RAG, orchestration patterns, and the judgment to know which is appropriate; designs reviewed with the Head of Harness Engineering to stay consistent with reference patterns.
Building on the harness plane as designed: skills authored as minimal, distinct, non-overlapping, independently testable capabilities in the registry; integration through the MCP / A2A spine rather than bespoke plumbing; agent identity and entitlements respected at every data product boundary.
Quality, eval, and observability built into delivery from the first sprint using the shared eval harness: benchmark sets defined with the domain experts, regression gates wired into promotion, and production observability live before launch, not after the first incident.
Risk-tier compliance in practice, including the GxP commit-point pattern on regulated use cases: agent chains operate freely, and any write to a validated record routes through the human-in-the-loop commit point.
Engineering output to the platform: skills, orchestration patterns, and evaluation sets contributed back to the registry as reusable Fabric assets, documented well enough for the second consumer.
Pairing with and upskilling the rotating domain SMEs and Agilent practitioners in the pod, to enable businesses to sustain the engagement and ongoing use of AI solutions, and providing feedback back to the core platform for enhancements.
What success looks like in year one
The pod's agentic system lives in production in the domain workflow, composing registered skills, with documented risk tier, identity propagation, and human-in-the-loop policy.
Eval coverage in place for the use case's critical behaviors, with regression gates passing as a condition of every promotion and measured time-to-detection for behavioral regressions in production.
Multiple assets contributed back to the registry (skills, patterns, or eval sets) and consumed/reused by multiple use cases.
A rotating SME or internal practitioner from the pod is demonstrably more capable than when they arrived, evidenced by their contribution to the build.
Full-stack engineering strength with demonstrated LLM application experience in production:
Experience with building agents, RAG, evaluation, observability, and deployment, not only prototypes.
Working familiarity with MCP or equivalent tool-use protocols, and the architectural taste to build composable systems under a registry discipline rather than one-off integrations.
High agency and tolerance for ambiguity; you are comfortable being the senior engineer in a room of scientists, service leaders, or commercial operators, and you treat their expertise as the specification.
Experience or genuine willingness to operate under regulated-environment constraints; you understand why an audit trail is a feature.
Communication strong enough to demo to a VP and debug with a bench scientist in the same afternoon
Curiosity about AI, its potential and its pitfalls. The field moves monthly, and the people who thrive here are genuinely curious about both sides of it: what these systems can newly do, and where they fail, mislead, or quietly degrade. We want people who read the failure analyses as eagerly as the launch posts, who experiment on their own initiative, and who hold excitement and skepticism at the same time without letting either one win permanently.
Lifelong learner. Whatever expertise a candidate arrives with will be partially obsolete within a year, and that is not a defect of the candidate; it is the condition of the field. We hire people who have reinvented their toolkit before and expect to do it again, who learn in public, and who treat being wrong as information rather than injury. A history of deliberate self-reinvention counts for more than any single credential.
Excellent communication and the ability to influence. Nothing in this organization ships by authority alone. Every role here persuades: domain experts to engage, stewards to share what they know, sponsors to stay honest about value, and functions like Legal, Quality, and Security to move from gatekeeping to partnership. We look for people who write and speak clearly, who adapt their register from bench scientist to Board, and who change minds through credibility and clarity rather than escalation.
Bachelor's or Master's Degree or equivalent.
Typically, at least 8+ years relevant experience for entry to this level.
Let’s Bring Great Science to Life.
Agilent customers are finding new ways to treat cancer, ensure food, water, air, and medicine quality and safety, discover new drug treatments, research infectious diseases, and create alternative energy solutions for a greener planet. From start to finish, we have them covered with our vast product solutions and services portfolio. Around the world, Agilent’s people bring innovations, technologies, and services to the forefront of science. Our teams design and manufacture a wide array of advanced analytical, research, and diagnostic solutions and tools for use inside and outside laboratories. Additionally, the unique expertise of Agilent’s CrossLab and technical teams provides valuable insight and support to our customers, helping them fully optimize their laboratories and resources to better focus on what's important: bringing great science to life. In fiscal 2022, Agilent Technologies generated revenue of (US) $6.85 billion.
Offices: 5301 Stevens Creek Boulevard, Santa Clara, CA 95051, US · Produktionsvej 42, Ejby, Capital Region 2600, DK · Hi-Tech City Road, Hyderabad, TS 500081, IN · 1 Yishun Ave 7, Singapore, Singapore 768923, SG · Calle Jose Echegaray, 8, Las Rozas de Madrid, Community of Madrid 28232, ES
Let’s Bring Great Science to Life.
Agilent customers are finding new ways to treat cancer, ensure food, water, air, and medicine quality and safety, discover new drug treatments, research infectious diseases, and create alternative energy solutions for a greener planet. From start to finish, we have them covered with our vast product solutions and services portfolio. Around the world, Agilent’s people bring innovations, technologies, and services to the forefront of science. Our teams design and manufacture a wide array of advanced analytical, research, and diagnostic solutions and tools for use inside and outside laboratories. Additionally, the unique expertise of Agilent’s CrossLab and technical teams provides valuable insight and support to our customers, helping them fully optimize their laboratories and resources to better focus on what's important: bringing great science to life. In fiscal 2022, Agilent Technologies generated revenue of (US) $6.85 billion.
Offices: 5301 Stevens Creek Boulevard, Santa Clara, CA 95051, US · Produktionsvej 42, Ejby, Capital Region 2600, DK · Hi-Tech City Road, Hyderabad, TS 500081, IN · 1 Yishun Ave 7, Singapore, Singapore 768923, SG · Calle Jose Echegaray, 8, Las Rozas de Madrid, Community of Madrid 28232, ES
