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Thermo Fisher Scientific
Staff AI & Automation Engineer
Thermo Fisher Scientific
Hyderabad•On-site•9-12 Yrs•3 hours ago
Job description
Overview
Work Schedule Standard (Mon-Fri)
Responsibilities
- 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.
- 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
Qualifications
- 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
- Strong expertise in AI/ML and Generative AI concepts and implementations
- Hands-on experience with RAG architectures and LLM-based solutions
- Cloud-native architecture experience on AWS and/or Azure
- Strong understanding of modern data architectures (Lakehouse, streaming, data governance)
- Strong problem-solving, analytical, and stakeholder communication skills
- Ability to work independently with business stakeholders
- 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)
- Familiarity with Agile and Scrum methodologies
- 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
- Opportunity to work on cutting-edge AI and automation initiatives
- Build enterprise-scale intelligent solutions
- Collaborative and innovation-driven environment
- Strong career growth opportunities