Job Description :

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

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