Software Engineer
Senior Staff IT Architect responsible for designing and governing enterprise-wide IT solutions, driving cloud and security architecture, and leading DevOps and microservices initiatives to support Thermo Fisher Scientific’s global scientific and analytical operations.
Work Schedule
Environmental Conditions
Job Description
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.
This is a remote role open in the US only.
What will you do?
The AI & Data Architect will define and govern the technical blueprint for enterprise AI and data ecosystems. This role ensures solutions are scalable, secure, reusable, and aligned with enterprise standards across GenAI, analytics, and intelligent automation initiatives.
This is a strategic role balancing architecture leadership with practical execution guidance
Key Responsibilities
Define enterprise architecture patterns for GenAI (RAG, agents, orchestration frameworks), Data platforms (lakehouse/warehouse architectures) and API/microservices-based integrations
Establish standards for scalability, reliability, cost optimization, and observability.
Lead governance for AI systems, including data privacy and compliance.
Create reusable frameworks and reference architectures for squads.
Conduct architecture reviews and risk assessments.
Guide cloud infrastructure design and infrastructure as code strategies.
Partner with leadership to shape long term AI and data strategy.
Required Qualifications:
7+ years of experience in enterprise data and AI architecture.
Deep expertise in cloud platforms (AWS/Azure).
Strong understanding of modern data architectures (lakehouse, streaming, data governance).
Proven experience designing enterprise GenAI architectures.
Experience defining security, access control, and compliance frameworks.
Strong influencing and stakeholder management skills.
Good to have skills
Experience with Databricks, Dataiku or vector databases.
Knowledge of CRM/ERP integration architecture.
Background in supply chain or commercial analytics ecosystems.
Experience architecting enterprise RPA (UiPath) platforms.
Knowledge of Intelligent Process Automation (IPA) frameworks combining AI + RPA.
Education
Bachelor’s or master’s degree in computer science, Engineering, Data Science, or equivalent exp
Posted June 27, 2026