AI Engineering & Data Foundations

IN01 Agilent Technologies (International)

Barcelona

Presencial

EUR 90.000 - 130.000

Jornada completa

Hace 3 días
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Descripción de la vacante

Agilent Technologies Inc. is expanding its AI capabilities across scientific, service, commercial, and operational functions. We seek engineers to design, deploy, and scale trusted AI solutions that deliver measurable business impact.

Opportunities focus on AI applications, agentic systems, retrieval foundations, AI-ready data products, and platform engineering. You will work in cross-functional AI pods alongside engineers, domain experts, and business stakeholders to translate complex

Formación

  • Experience building software, AI, platform, or data solutions in production environments with quality and reliability.
  • Ability to partner with business stakeholders and domain experts to deliver scalable solutions.
  • Strong communication skills to work across technical and non-technical audiences.
  • Curiosity about AI opportunities, with commitment to continuous learning.

Responsabilidades

  • Build production AI applications, agents, and AI-enabled workflows.
  • Design retrieval foundations for AI solutions (RAG, vector search, semantic enrichment).
  • Develop AI-ready data products with governance, lineage, and reuse.
  • Create reusable capabilities and assets to accelerate future AI use cases.

Conocimientos

Technical Expertise
Domain & Delivery Mindset
Communication & Influence
Curiosity & Growth Mindset

Educación

Bachelor's degree
Master's degree

Descripción del empleo

Job Description

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
Qualifications
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/locations.

Travel Required: 10% of the Time

Shift: Day

Duration: No End Date

Job Function: R&D Graduate and Student Career Site

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.

About Agilent

Visit our career site and learn more about 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.

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