Senior Applied AI Engineer, Agentic Systems
Agilent Technologies1 hour ago
Barcelona, SpainSenior
Responsibilities
- Design architectures and build approaches for agentic systems, including agent, RAG, retrieval, and orchestration patterns.
- Build reusable AI skills and integrations using shared platform services and established integration patterns.
- Embed evaluation, testing, monitoring, and observability into AI delivery, including benchmark and regression testing.
- Implement AI solutions with appropriate identity, access, security, compliance, governance, risk controls, and human-in-the-loop approvals.
- Contribute reusable skills, orchestration patterns, evaluation assets, and documentation to the broader AI platform.
- Partner with and upskill domain subject-matter experts and business practitioners while incorporating their feedback into platform capabilities.
Requirements
- Strong full-stack software engineering background with demonstrated production LLM application experience.
- Experience building AI agents, RAG solutions, evaluation frameworks, observability capabilities, and deployment processes rather than only prototypes.
- Working familiarity with MCP or equivalent tool-use protocols and the architectural judgment to build composable systems under a registry discipline.
- Experience or genuine willingness to work in regulated environments and understand auditability requirements.
- Strong communication and influencing skills, including the ability to work with executives, scientists, and business stakeholders.
- Bachelor’s or master’s degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience.
- Typically at least 8 years of relevant experience.
Benefits
- Full-time weekly schedule.
- Day shift.
- 10% travel required.
- No end date; pay and benefits vary by country and location.
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