Senior Applied AI Engineer, Agentic Systems

AU00 Agilent Technologies Australia Pty Ltd; Barcelona; Presencial; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

Agilent Technologies Inc. is seeking a Senior Applied AI Engineer, Agentic Systems, to design, build, deploy, and govern AI solutions across the enterprise.

You will work with data engineers, domain experts, and platform teams to translate business needs into production-grade AI systems, ensuring reliability, observability, and governance. The role focuses on building AI agents, RAG applications, and reusable skills, with emphasis on scalable, secure, and auditable deployments in regulated

Formación

• Bachelor's or Master's in Computer Science, Engineering, Data Science, or related field.
• Typically, 8+ years of relevant experience for senior level.
• Strong software engineering foundations and production AI delivery experience.
• Experience building agents, RAG solutions, evaluation frameworks, and governance.

Responsabilidades

• Define architecture and build approach for the pod's use case, selecting agents, RAG, retrieval, and orchestration patterns.
• Build reusable AI skills and integrations with platform services and governance controls.
• Embed evaluation, testing, and observability into delivery from the first sprint.
• Implement AI solutions with security, compliance, and governance requirements including human-in-the-loop for regulated use cases.
• Contribute reusable assets back to the broader AI platform and document them for future teams.

Conocimientos

LLM production apps

Agents & RAG

Observability

Security & governance

Full-stack engineering

Educación

Bachelor's or Master's in CS/Engineering/Data Science

Equivalent practical experience

Herramientas

MCP or equivalent tool-use protocols

Descripción del empleo

Agilent helps laboratories around the world advance scientific discovery, diagnostics, and applied market solutions through instruments, software, consumables, services, and deep domain expertise.

About the role

As a Senior Applied AI Engineer, Agentic Systems, you will be an AI engineering SME within a cross-functional AI pod, working alongside data engineers, domain experts, business stakeholders, and platform teams. Your role is to design, build, deploy, and govern AI solutions that solve real scientific, service, commercial, and operational challenges across the enterprise. You will work directly with the end users to understand their workflows, translate business needs into production-grade AI solutions, and ensure those solutions are reliable, observable, reusable, and responsible. This role goes beyond prototyping. You will build AI agents, RAG applications, orchestration patterns, evaluation frameworks, and reusable skills that become part of Agilent’s broader AI ecosystem. You do not need to know Agilent’s internal AI platform terminology on day one. We are looking for someone with strong software engineering foundations, experience delivering AI applications into production, and a passion for building practical solutions that create measurable business value.

What you will do:

• Define the architecture and build approach for thepod'suse case, selecting appropriate agents, RAG, retrieval, and orchestration patterns; designs are reviewed with the Head of Agentic AI Platform Engineering to ensure alignment with reference patterns and platform standards.
• Build reusable AI skills and integrations using shared platform services and established integration patterns rather than one-off solutions, ensuring components are independently testable and designed for reuse, with appropriate identity, access, and governance controls.
• Embed evaluation, testing, and observability into delivery from the first sprint, defining benchmark sets with domain experts and establishing regression testing and production monitoring before launch.
• Implement AI solutions in accordance with security, compliance, and governance requirements, including risk-based controls and human-in-the-loop approval points for regulated orGxP-relevant use cases.
• Contribute reusable skills, orchestration patterns, and evaluation assets back to the broader AI platform, documenting them for future teams and designing with the second consumer in mind.
• Partner with and upskill domain SMEs and business practitioners within the pod, helping them sustain AI solutions and providing feedback back to improve platform capabilities over time.

What success looks like in year one

• Thepod'sagentic system islivein production within the domain workflow, with documented governance, identity controls, and human-in-the-loop processes where required.
• Evaluation coverage is established for critical AI behaviors, with testing, monitoring, and observability embedded into the delivery lifecycle.
• Multiple reusable skills, orchestration patterns, or evaluation assets created by the pod have been adopted, reused, or positioned for reuse across additional use cases.
• A rotating SME or business practitioner from the pod has increased their AI capability through active contribution to the solution and ongoing adoption of AI-enabled ways of working.

Qualifications

Technical Expertise

• Full-stack engineering strength with demonstrated LLM application experience in production
• Experience building agents, RAG solutions, evaluation frameworks, observability capabilities, and deployment processes, not just prototypes.
• Working familiarity with MCP or equivalent tool-use protocols, and the architectural judgement to build composable systems under a registry discipline rather than one-off integrations.

Domain and Delivery Mindset

• High agency and tolerance for ambiguity; comfortable being the senior engineer in a room of scientists, service leaders, or commercial operators, treating their expertise as a critical input to solution design.
• Experience or genuine willingness tooperatewithinregulated environments; you understand why an audit trail is a feature, not a constraint.

Communication and Influence

• Communication strong enough todemo toa VP and debug with a bench scientist in the same afternoon.
• Excellent communication and the ability to influence.
• You write and speak clearly, adapt your style to different audiences, and build credibility through clarity rather than authority.

Curiosity and Growth Mindset

• Curiosity about AI, including both its opportunities and its limitations.
• You stay informed about emerging approaches while maintaining healthy skepticism and focus on responsible implementation.
• A lifelong learner who continuously adapts, expands skills, and embraces new ways of working in a rapidly evolving field.

Education and Seniority

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Systems, or related field, or equivalent practical experience.
• Typically, at least 8+ years of relevant experience for entry to this level.

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/locations Agilent 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 Time Shift: Day Duration: No End Date Job Function: R&D Graduate and Student Career Site Visit our career site and learn more about Agilent Watch our video playlist to get a glimpse of life at Agilent! As a global leader in laboratory and clinical technologies, we are passionate about bringing great science to life. Our commitment to quality and innovation supports cutting-edge life science research, patient diagnostics, and ensures the safety of water, food, and pharmaceuticals. As scientists and clinicians pursue small, everyday advances and life-changing discoveries, we provide trusted answers to their most critical questions and challenges. Leveraging more than 50 years of expertise, we create advanced instruments, software, and consumables supported by teams of highly skilled and knowledgeable people. With 18,000 employees around the world, our global reach and comprehensive solutions provide the most reliable and accurate results, as well as optimal scientific, economic, and operational outcomes. We work collaboratively with our customers on their journey to make a real difference in human lives. Our culture is founded on trust, respect, and uncompromising integrity, and we pride ourselves on being a dynamic and inclusive workplace that celebrates diversity and fosters innovation. We can’t wait for you to join us as we continue our mission to improve the world around us. Information about Agilent is available at Agilent.com.