Senior AI Engineer, Agentic Systems - Production AI Agents

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 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