AI Engineering & Data Foundations
Agilent Technologies2 months ago
Barcelona, SpainSenior
Responsibilities
- Build production AI applications, agents, and AI-enabled workflows.
- Design retrieval foundations using retrieval-augmented generation, vector search, semantic enrichment, and knowledge assets.
- Develop reusable AI-ready data products with strong quality, governance, lineage, and reuse foundations.
- Create reusable engineering capabilities, patterns, and assets that accelerate enterprise AI use cases.
- Apply AI evaluation, monitoring, observability, and governance practices to ensure reliable outcomes.
- Partner with domain experts and business stakeholders to translate workflows and needs into scalable technical solutions.
- Use AI-assisted approaches such as metadata generation, entity resolution, and content classification to improve data quality and discoverability.
- Collaborate in cross-functional AI pods with engineers, domain experts, business stakeholders, and platform teams.
Requirements
- Experience building software, AI, platform, or data solutions in production environments.
- Familiarity with modern AI technologies, data platforms, and enterprise architectures.
- Strong engineering foundations with a focus on quality, reliability, and reusability.
- Experience or interest in AI engineering, AI agents, agentic workflows, retrieval-augmented generation, LLM application development, AI evaluation, observability, orchestration, or production AI deployment.
- Experience or interest in AI data engineering, data products, data contracts, AI-ready data foundations, metadata management, semantic enrichment, retrieval architecture, vector databases, graph technologies, data quality, governance, or lineage.
- Experience or interest in full-stack software development, distributed systems, APIs, cloud platforms, enterprise integration, platform engineering, or identity, access, and governance controls.
- Typically 6+ years of relevant experience in software engineering, AI engineering, data engineering, machine learning, platform engineering, or related disciplines.
- Bachelor's or Master's degree, or equivalent practical experience.
- Strong problem-solving, communication, collaboration, stakeholder partnership, and continuous-learning skills.
Benefits
- Full-time schedule with a day shift.
- 10% travel required.
- No end date stated for the position.
- Pay and benefits vary by country and are determined by role, level, location, skills, experience, and education or training.
Categories
AI ApplicationsData Engineering
About Agilent Technologies
Agilent Technologies builds analytical instruments, lab software, diagnostic and genomics solutions, plus consumables and services used by pharmaceutical, chemical, environmental, and clinical labs. It sells systems such as chromatography and mass spectrometry platforms, pathology and molecular diagnostic kits, and supports lab operations through its CrossLab services business. Founded in 1999 and headquartered in Santa Clara, California, Agilent is a public company listed on the NYSE (ticker: A) with global manufacturing and R&D sites.