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职位Thermo Fisher

Staff Architect, Software

Thermo Fisher

Staff Architect, Software

Thermo Fisher

Bangalore, India

·

On-site

·

Full-time

·

1w ago

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?

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:

  • 12+ 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 (Ui Path) 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 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.

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关于Thermo Fisher

Thermo Fisher

Thermo Fisher Scientific Inc. is an American life science and clinical research company. It is a global supplier of analytical instruments, clinical development solutions, specialty diagnostics, laboratory, pharmaceutical and biotechnology services.

10,001+

员工数

Waltham

总部位置

$200B

企业估值

评价

3.0

10条评价

工作生活平衡

3.5

薪酬

3.8

企业文化

3.2

职业发展

3.5

管理层

2.1

45%

推荐给朋友

优点

Good benefits and compensation

Nice people to work with

Learning opportunities and skill development

缺点

Poor management and leadership issues

Disengaged or unsupportive management

Frequent reorganizations and chaos

薪资范围

2,092个数据点

Junior/L3

Mid/L4

Junior/L3 · DATA ANALYST

1份报告

$130,000

年薪总额

基本工资

$100,000

股票

-

奖金

-

$130,000

$130,000

面试经验

8次面试

难度

3.0

/ 5

时长

14-28周

录用率

12%

体验

正面 12%

中性 63%

负面 25%

面试流程

1

Application Review

2

Recruiter Screen

3

Hiring Manager Interview

4

Panel Interview

5

Final Interview

6

Offer

常见问题

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit

Industry Specific