Senior Director, AI Platform Architecture

Thermo Fisher

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$167,500–$278,000 / yr
Posted
52 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $230k
This role $223k
$153k most similar roles pay here $302k

This role pays less than 57% of similar roles. Most pay $196,750–$263,984 — the shaded band above. At the midpoint, this role pays about $223k versus about $230k for comparable roles.

Based on 239 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 9 open roles on FindRole.

Listed pay typically runs $93,800–$127,800 across 7 roles with salary data.

Most-posted roles

View all roles at Thermo Fisher

At a glance

TL;DR · Senior Director, AI Platform Architecture

Senior Director, AI Platform Architecture serves as a senior leadership role within the CRG Digital team to define, build, and scale the foundational AI platform for clinical research applications. This leader owns the end-to-end strategy, architecture, and delivery model to ensure AI capabilities are scalable, secure, and production-ready. Key responsibilities include developing MLOps and LLMOps pipelines, managing model lifecycle management, and building reusable components like prompt frameworks and orchestration tools. The role requires expertise in GenAI, agentic workflows, Snowflake, Databricks, and cloud platforms to support both centralized and federated AI execution. Working within the clinical research domain, this position addresses the challenge of accelerating drug development by providing a robust infrastructure for data-driven decision-making while ensuring compliance and governance in a regulated environment. The role involves leading a team of engineers and architects to drive innovation.

What you'll do

  • Define and execute the AI platform strategy and roadmap aligned with corporate priorities.
  • Design and develop the core architecture for MLOps, LLMOps, and model lifecycle management.
  • Build scalable, reusable AI components including prompt frameworks, model libraries, and automation tools.
  • Establish standards for performance, scalability, reliability, and cost efficiency across all AI products.
  • Implement governance, security, and responsible AI practices to ensure regulatory compliance.
  • Provide self-service tools and infrastructure to enable federated development by distributed engineering teams.
  • Manage relationships with technology vendors and evaluate emerging AI technologies for integration.
  • Lead a high-performing team of engineers and architects while defining roles and career paths.

What we're looking for

  • Bachelor's degree required; advanced degree in computer science, engineering, AI/ML, or related field preferred.
  • 12 years of experience in software engineering, data platforms, AI/ML engineering, or platform leadership roles.
  • Proven track record of building and scaling AI/ML or data platforms in enterprise environments.
  • Strong understanding of AI/ML, GenAI technologies, MLOps/LLMOps practices, cloud platforms, and modern data architectures.
  • Experience operating in complex, matrixed organizations with cross-functional stakeholders.
  • Experience in regulated environments such as healthcare or life sciences (preferred).

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