Senior Staff AI Architect

Thermo Fisher

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $143,000–$185,000 / yr
Posted: 8 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $200k

This role $164k

$131k most similar roles pay here $253k

This role pays less than 75% of similar roles. Most pay $163,312–$235,750 — the shaded band above. At the midpoint, this role pays about $164k versus about $200k for comparable roles.

Based on 240 similar postings.

Employer

About Thermo Fisher

Thermo Fisher Scientific is the world leader in serving science, providing analytical instruments, equipment, reagents, consumables, software, and services for life sciences research, pharmaceutical manufacturing, and diagnostics. Industry: Life Sciences & Laboratory Equipment

Thermo Fisher currently has 16 open roles on FindRole.

Listed pay typically runs $133,744–$171,900 across 12 roles with salary data.

Most-posted roles

View all roles at Thermo Fisher

At a glance

TL;DR · Senior Staff AI Architect

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As an AI & Data Architect at Thermo Fisher Scientific, you will join a dynamic and innovative team to define and govern the technical blueprint for enterprise AI and data ecosystems, ensuring solutions are scalable, secure, and aligned with enterprise standards across GenAI, analytics, and intelligent automation initiatives. Your responsibilities include defining architecture patterns for GenAI systems, data platforms, and API integrations, establishing standards for scalability and reliability, leading governance for AI systems, creating reusable frameworks, conducting risk assessments, guiding cloud infrastructure design, and partnering with leadership to shape long-term strategy. The role requires deep expertise in cloud platforms like AWS or Azure, modern data architectures, and experience designing enterprise GenAI solutions. Additional skills such as knowledge of Databricks, CRM/ERP integration architecture, and intelligent process automation frameworks are beneficial.

Skills

AWS Azure Databricks Dataiku lakehouse streaming data governance GenAI RAG agents orchestration frameworks API/microservices cloud infrastructure infrastructure as code security access control compliance UIPath Intelligent Process Automation

What you'll do

Define enterprise architecture patterns for GenAI systems and data platforms.
Establish standards for scalability, reliability, cost optimization, and observability.
Lead governance for AI systems, ensuring compliance with data privacy regulations.
Create reusable frameworks and reference architectures for development teams.
Conduct architecture reviews and risk assessments to ensure technical integrity.
Guide cloud infrastructure design and implementation of infrastructure as code strategies.

What we're looking for

7+ years of experience in enterprise data and AI architecture.
Deep expertise in cloud platforms (AWS/Azure).
Strong understanding of modern data architectures including lakehouse and streaming.
Proven experience designing enterprise Generative AI (GenAI) architectures.
Experience defining security, access control, and compliance frameworks.
Strong influencing and stakeholder management skills.

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