Job description
Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
Description
We are seeking a highly skilled Staff AI & Automation Engineer to design, build, and scale enterprise AI/ML, Generative AI, and automation solutions. This role will focus on delivering intelligent, scalable systems that drive business value through advanced analytics, automation, and innovation.
Experience Required
- 9+ years of overall experience in Data, AI, and Automation domains
- 4+ years of experience in AI/ML implementation
- 2+ years of hands-on experience in automation implementation
- Proven experience delivering at least 2–3 end-to-end AI/ML and/or Automation initiatives independently
Key Responsibilities
- Design and implement advanced AI/ML and Generative AI solutions for enterprise use cases
- Lead end-to-end AI/ML solution development from ideation through deployment and scaling
- Design and implement Retrieval-Augmented Generation (RAG) solutions including ingestion, embeddings, retrieval, and response generation
- Identify and implement automation opportunities using RPA and workflow automation tools
- Develop automation solutions using tools such as UiPath, Automation Anywhere, Blue Prism, and Power Automate
- Integrate AI and automation solutions with enterprise applications, APIs, and data platforms
- Collaborate with stakeholders to understand business requirements and translate them into scalable technical solutions
- Ensure scalability, performance, and reliability of AI and automation systems
- Drive innovation through adoption of emerging technologies including IoT and digital twins
Required Skills & Qualifications
- Strong expertise in AI/ML and Generative AI concepts and implementations
- Hands-on experience with RAG architectures and LLM-based solutions
- Experience with automation/RPA tools (UiPath, Automation Anywhere, Blue Prism, Power Automate)
- Cloud-native architecture experience on AWS and/or Azure
- Experience with Kubernetes (EKS/AKS) and CI/CD tools (GitHub Actions, Azure DevOps, Jenkins)
- Strong understanding of modern data architectures (Lakehouse, streaming, data governance)
- Experience in defining security, access control, and compliance frameworks
- Strong problem-solving, analytical, and stakeholder communication skills
- Ability to work independently with business stakeholders
Preferred Qualifications
- Experience with Databricks, Dataiku, or vector databases
- Knowledge of data platform engineering including Databricks Lakehouse, S3 or equivalent storage, and scalable pipelines
- Exposure to IoT and digital twin technologies
- Certifications in AI, Automation, and/or Cloud (AWS/Azure)
- Experience in GxP or Quality processes
- Familiarity with Agile and Scrum methodologies
Key Competencies
- Strong technical depth in AI and automation
- Innovation and continuous learning mindset
- Ability to drive outcomes independently
- Strong collaboration across cross-functional teams
Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
Why Join Us
- Opportunity to work on cutting-edge AI and automation initiatives
- Build enterprise-scale intelligent solutions
- Collaborative and innovation-driven environment
- Strong career growth opportunities
This job post has been translated by AI and may contain minor differences or errors.
