Senior Applied AI Engineer, Agentic Systems

Job Description

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 enterpr ise.   

You will w ork directly with the end users to understand their workflows, translate business   needs into production-grade AI solutions, and ensure those solutions are reliable, observable, reusable, and   responsible.  

This role goes beyond   prototyping . You will build AI agents, RAG   applications, orchestration patterns, evaluation frameworks,   and reusable skills that become part of Agilent’s broader AI ecosystem.   

You do not need to know Agilent’s internal AI   platform terminology on day one. 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.   

What   you will do:  

• Define the   a rchitecture and build approach for the pod's use case , selecting   appropriate   agents , RAG,   retrieval , and   orchestration   patterns; 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 rat her 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   r isk- based   co n trols   and   human-in-the-loop   approval   point s   for regulated   or   GxP -relevant use cases .   

• Contribute reusable   skills, orchestration patterns, and evaluation   assets   back to the   broader AI platform , document ing   them   for   f uture teams and designing with   the second consumer   in mind .   

• Partner   with and upskill   domain SMEs and   business   practitioners   with in the pod,   helping th em   sustain   AI solutions   and providing feedback back to   improve   platform   capabilities over time .  

What success looks like in year one    

• The pod's agentic system   is   live  in production   with in the domain workflow,   with documented   governance , identity   controls , and human-in-the-loop   processes where   required .   

• Eval uation   coverage i s   established   for   critical   AI   behaviors, with   testing, monitorin g , and observability embedded into the delivery lifecycle .   

• Multiple   reusable   skills,   orchestration   patterns, or   eval uation   assets   created by the pod   have been adopted, reused, or positioned for reuse across   additional   use cases.  

• A rotating SME or   business   practitioner from the pod   has increased their AI   capab ility   through   active   contribution to the   solution and ongoing adoption of AI-enable d ways of working .   

Qualifications

Technical Expertise  

• Full-stack engineering strength with demonstrated LLM application experience in production  

• Experience   building agents, RAG   solutions , evaluation   frameworks , observability   capabilitie s , and deployment   processes , not   just   prototypes.   

• Working familiarity with MCP or equivalent tool-use protocols, and the architectural   judgement   to build composable systems under a registry discipline rather than one-off integrations.   

Domain and Delivery Mindset  

• High agency and tolerance for ambiguity;   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.    

• Experience or genuine willingness to  operate   within   regulated   environment s ; you understand why an audit trail is a feature , not a constraint .  

Communication and Influence    

• Communication strong enough to  demo to  a VP and debug with a bench scientist in the same afternoon .  

• Excellent communication and the ability to influence .   You   write and speak clearly,   adapt   your style to   different audiences , and build   credibility   through   clarity rather than   authority .   

Curiosity and Growth Mindset  

• Curiosity about AI,   including both its   opportunities   and its   limitations .   You stay informed   about emerging approaches while   maintaining   healthy   skepticism and focus on responsible implementa tion .   

• A   l ifelong learner   who   contin u ously   adapts, expands skills , and embraces new ways of working in a rapidly evolving field .   

Education and Seniority  

• Bachelor's or   Master's   d egree   in Computer Science , Engineering, Data Science, Information Systems, or relate d field , or equivalent practical experience .  

• Typically, at least 8+ years   of   relevant experience for entry to this level.

Additional Details

This job has a full time weekly schedule.Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locationsAgilent Technologies Inc. is an equal opportunity employer. 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