Thermo Fisher ScientificStaff Engineer, Artificial Intelligence
Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
Job Location: Bangalore, India
About Company:
Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving sophisticated analytical challenges, improving patient diagnostics and therapies or growing efficiency in their laboratories, we are here to support them. Our distributed team of more than 100,000 colleagues delivers an outstanding combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.
What will you do?
We are looking for an experienced AI & Data Lead to drive end to end delivery of AI and data initiatives. This role combines strong technical expertise with leadership capabilities to guide teams in building scalable GenAI solutions, predictive models, and enterprise data platforms.
You will own solution delivery, technical quality, and stakeholder alignment across multiple initiatives.
Key Responsibilities
Lead design and delivery of GenAI and agent-based solutions, ensuring scalability and governance.
Architect and oversee development of Python-based APIs and AI services.
Design and review enterprise-grade data architectures and pipelines.
Establish engineering standards for performance, testing, monitoring, and deployment.
Drive adoption of LLMOps/MLOps best practices, including evaluation, monitoring, and model lifecycle management.
Provide mentorship and technical leadership to engineers.
Partner with business leaders to translate strategic objectives into technical roadmaps.
Ensure security, compliance, and data governance across AI solutions.
Required Qualifications:
12+ years of experience in AI, data engineering, or analytics solution delivery.
3+ years leading technical teams or complex workstreams.
Strong expertise in Python, SQL, Spark/PySpark, and cloud platforms (AWS/Azure).
Experience deploying enterprise GenAI solutions.
Strong understanding of system architecture, distributed systems, and API design.
Excellent stakeholder management and communication skills.
Good to have skills
Experience embedding AI into CRM/ERP systems.
Familiarity with BI tools and semantic data modeling.
Exposure to supply chain or commercial analytics domains.
Experience leading or contributing to UiPath or enterprise RPA implementations.
Ability to design integrated AI + automation workflows.
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent experience.
Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 1,20,000 colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need.
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.