Agilent seeks a Senior Applied AI Engineer to design and deploy production-grade agentic AI systems addressing scientific and operational challenges. Working within a cross-functional pod, you will build reusable skills, implement RAG and orchestration patterns, embed evaluation and observability throughout delivery, and ensure compliance with security and governance standards. This role emphasizes practical solutions that drive measurable business value beyond prototyping.
Responsibilities
- Design and build AI agent architectures, RAG applications, and orchestration patterns aligned with platform standards
- Create reusable AI skills and integrations using shared platform services with appropriate governance and access controls
- Embed evaluation, testing, and observability into delivery lifecycle with benchmark sets and regression testing
- Implement AI solutions meeting security, compliance, and governance requirements including human-in-the-loop approval processes




- Partner with domain experts and business stakeholders to understand workflows and translate requirements into production solutions

Requirements
- Full-stack engineering with demonstrated LLM application production experience
- Experience building agents, RAG solutions, evaluation frameworks, and deployment processes
- Familiarity with MCP or equivalent tool-use protocols and composable system architecture
- Ability to operate effectively within regulated environments and understand compliance requirements
- Strong communication skills to engage with both technical and non-technical stakeholders
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field, or equivalent practical experience
- Typically 8+ years of relevant experience

📌 Senior Applied AI Engineer, Agentic Systems (España)
🏢 Agilent
📍 España