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Thermo Fisher Scientific

Makes lab instruments, reagents and supplies

AI Enablement Specialist

AI Application EngineeringUpdated on Nov 10
Full-timeMelbourne VIC, AustraliaNo salary listedHybrid

About the Job

Requirements

  • A bachelor's degree and 1–3 years of relevant experience are required.
  • Hands-on experience building AI workflows and automations in a real organizational context is required.
  • Proficiency with Codex, OpenAI, or other reputable AI tools is required.
  • Understanding of structured and unstructured data, APIs, data quality, retrieval and grounding, system integration, and enterprise data sources is required; data engineering expertise is not necessary.
  • Ability to identify business opportunities and translate them into practical AI-enabled solutions that deliver measurable business outcomes is required.
  • Experience developing proof of concepts, prototypes, AI workflows, or automation solutions in a business environment is required.
  • Ability to explain AI concepts to technical and non-technical audiences and support adoption is required.
  • Understanding of Responsible AI, information security, data privacy, and governance principles is required.

Responsibilities

  • Partner with business teams to identify opportunities where AI can solve business challenges, improve productivity, and unlock new business capabilities.
  • Facilitate AI discovery sessions and translate business opportunities into practical AI use cases with measurable business value.
  • Design, develop, and implement AI-enabled solutions using approved Thermo Fisher AI platforms, low-code technologies, and workflow automation tools.
  • Rapidly develop proof of concepts, prototypes, and minimum viable solutions, validating ideas before scaling successful solutions.
  • Continuously optimize AI solutions to maximize business value, usability, and adoption.
  • Build trusted relationships with business stakeholders and promote effective adoption of AI capabilities across the organization.
  • Deliver demonstrations, workshops, and coaching to improve AI literacy and encourage new ways of working.
  • Develop reusable AI assets, prompts, templates, and best practices that accelerate solution delivery and adoption.
  • Contribute to a pipeline of innovative AI use cases that support business growth, productivity, and customer outcomes.
  • Ensure AI solutions comply with security, privacy, governance, and Responsible AI standards while measuring adoption, productivity improvements, and business value.

Desired Qualifications

  • Curiosity about emerging AI technologies, prompt engineering, agentic AI, and digital innovation, with a commitment to continuous learning.

About the Company

Thermo Fisher Scientific

Makes lab instruments, reagents and supplies

Thermo Fisher Scientific makes and sells the instruments, chemicals, consumables and lab services that drug companies, hospitals, universities and industrial labs use for research, testing and production. Its products cover work from gene sequencing and protein analysis to diagnostic tests and lab freezers, and its distribution arm ships supplies to labs worldwide. Drug developers also hire it to run clinical trials and to manufacture medicines under contract. It earns money from consumables that labs buy again and again, along with instrument sales, service contracts and outsourcing fees. The company traces its roots to Thermo Electron, founded in 1956, which merged with Fisher Scientific in 2006, and it is based in Waltham, Massachusetts.

Company size
10,001+
Company stage
IPO
Headquarters
Waltham, MA
Founded
1956

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