Senior Applied AI Engineer, Agentic Systems
Hace 2 días
Barcelona, Barcelonés (comarca); Provincia de Barcelona; Cataluña, España
AU00 Agilent Technologies Australia Pty Ltd
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Agilent helps laboratories around the world advance scientific discovery, diagnostics, and applied market solutions through instruments, software, consumables, services, and deep domain expertise.
About the role
As a Senior Applied AI Engineer, Agentic Systems, you will be an AI engineering SME within a cross-functional AI pod, working alongside data engineers, domain experts, business stakeholders, and platform teams. Your role is to design, build, deploy, and govern AI solutions that solve real scientific, service, commercial, and operational challenges across the enterprise. We are looking for someone with strong software engineering foundations, experience delivering AI applications into production, and a passion for building practical solutions that create measurable business value. designs are reviewed with the Head of Agentic AI Platform Engineering to ensure alignment with reference patterns and platform standards. Build reusable AI skills and integrations using shared platform services and established integration patterns rather than one-off solutions, ensuring components are independently testable and designed for reuse, with appropriate identity, access, and governance controls. Embed evaluation, testing, and observability into delivery from the first sprint, defining benchmark sets with domain experts and establishing regression testing and production monitoring before launch. Implement AI solutions in accordance with security, compliance, and governance requirements, including risk-based controls and human-in-the-loop approval points for regulated orGxP-relevant use cases. What success looks like in year oneThepod'sagentic system islivein production within the domain workflow, with documented governance, identity controls, and human-in-the-loop processes where required. Evaluation coverage is established for critical AI behaviors, with testing, monitoring, and observability embedded into the delivery lifecycle. QualificationsTechnical ExpertiseFull-stack engineering strength with demonstrated LLM application experience in productionExperience building agents, RAG solutions, evaluation frameworks, observability capabilities, and deployment processes, not just prototypes. comfortable being the senior engineer in a room of scientists, service leaders, or commercial operators, treating their expertise as a critical input to solution design. Education and SeniorityBachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Systems, or related field, or equivalent practical experience. Typically, at least 8+ years of relevant experience for entry to this level. Additional DetailsThis job has a full time weekly schedule. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. 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. Travel Required: 10% of the Time Shift: Day Duration: No End Date Job Function: R&D Graduate and Student Career Site Visit our career site and learn more about Agilent Watch our video playlist to get a glimpse of life at 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. 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. 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.
About the role
As a Senior Applied AI Engineer, Agentic Systems, you will be an AI engineering SME within a cross-functional AI pod, working alongside data engineers, domain experts, business stakeholders, and platform teams. Your role is to design, build, deploy, and govern AI solutions that solve real scientific, service, commercial, and operational challenges across the enterprise. We are looking for someone with strong software engineering foundations, experience delivering AI applications into production, and a passion for building practical solutions that create measurable business value. designs are reviewed with the Head of Agentic AI Platform Engineering to ensure alignment with reference patterns and platform standards. Build reusable AI skills and integrations using shared platform services and established integration patterns rather than one-off solutions, ensuring components are independently testable and designed for reuse, with appropriate identity, access, and governance controls. Embed evaluation, testing, and observability into delivery from the first sprint, defining benchmark sets with domain experts and establishing regression testing and production monitoring before launch. Implement AI solutions in accordance with security, compliance, and governance requirements, including risk-based controls and human-in-the-loop approval points for regulated orGxP-relevant use cases. What success looks like in year oneThepod'sagentic system islivein production within the domain workflow, with documented governance, identity controls, and human-in-the-loop processes where required. Evaluation coverage is established for critical AI behaviors, with testing, monitoring, and observability embedded into the delivery lifecycle. QualificationsTechnical ExpertiseFull-stack engineering strength with demonstrated LLM application experience in productionExperience building agents, RAG solutions, evaluation frameworks, observability capabilities, and deployment processes, not just prototypes. comfortable being the senior engineer in a room of scientists, service leaders, or commercial operators, treating their expertise as a critical input to solution design. Education and SeniorityBachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Systems, or related field, or equivalent practical experience. Typically, at least 8+ years of relevant experience for entry to this level. Additional DetailsThis job has a full time weekly schedule. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. 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. Travel Required: 10% of the Time Shift: Day Duration: No End Date Job Function: R&D Graduate and Student Career Site Visit our career site and learn more about Agilent Watch our video playlist to get a glimpse of life at 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. 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. 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.