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채용Thermo Fisher

Sr. Staff IT Architect - AI Architect (HRIT)

Thermo Fisher

Sr. Staff IT Architect - AI Architect (HRIT)

Thermo Fisher

Pittsburgh; Raleigh; Frederick; Carlsbad

·

On-site

·

Full-time

·

2d ago

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

As part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world's toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.

DESCRIPTION:

Join our collaborative team at Thermo Fisher Scientific as a Sr Staff IT Architect, specializing in HR AI solutions. You'll help drive innovation in HR technology solutions that evolve the HR services experience for our users. In this role, you'll focus on the design and architecture of our enterprise HR AI chatbot ('Hi Ro') and implement AI-driven HR service delivery capabilities.

How you will make an impact:

  • Design and implement enterprise-wide solutions, with a focus on HR AI.
  • Leverage Service Now (including Now Assist) capabilities as well as other AI tools and capabilities (ChatGPTe, Flowise, etc.)
  • Lead the design of AI-driven HR chatbot and AI agent use cases
  • Collaborate with HR stakeholders to translate requirements into robust architectural designs
  • Perform technical analysis and present architecture decisions/recommendations to key stakeholders
  • Define integration patterns across systems, ensuring alignment with enterprise standards and protocols
  • Monitor and improve AI performance and adoption in HR service delivery
  • Contribute to AI strategy and governance within the HR technology ecosystem

What you will do: Architecture

  • Design AI solutions using Service Now and other AI platforms (ChatGPTe, Flowise, etc.)
  • Work directly with HR stakeholders to refine use cases, translating ambiguous needs into clear, scalable designs
  • Define how the HR chatbot and AI agents behave—how they answer questions, trigger transactions, and interact with systems like Workday and ChatGPTe
  • Design how LLMs connect to APIs, workflows, and data sources—ensuring solutions are practical, secure, and maintainable
  • Attend requirements gathering sessions with business stakeholders
  • Design complex chatbot flows and agentic AI use cases
  • Define integrations and architecture for HR AI solutions (APIs, MCP)

AI Strategy and Guidance

  • Make product or technology recommendations for AI solutions, evaluating and selecting appropriate tools and platforms to meet business needs
  • Analyze and model technical solutioning options, considering scale, security, UX, business value and cost implications
  • Provide technical assessments, highlighting capabilities, limitations, and trade-offs to non-technical stakeholders
  • Research industry best practices for AI technologies in HR service delivery
  • Work with platform vendor to provide usage feedback and request product changes.
  • Knowledge share and collaborate with other technical teams to implement architectural standards across the organization

REQUIREMENTS:

  • Advanced Degree plus 6 years of experience, or Bachelor's Degree plus 8 years of experience in enterprise architecture with progressive technical leadership responsibilities
  • Preferred Fields of Study: Computer Science, Engineering, Information Technology or related field
  • Experience with OpenAI products is highly advantageous (e.g., Agent Kit, Agent Builder, OpenAI API, Chat Kit, MCP Servers)

AI Architecture & Development:

  • Experience designing LLM-based solutions in enterprise environments
  • Experience with building AI agents and multi-agent orchestration (MCP experience is a plus)
  • Strong skills in prompt engineering, system instruction design, and orchestration
  • Familiarity with multiple AI development platforms
  • Knowledge of RAG including chunking, embeddings, reranking, and retrieval strategies
  • Understanding of hallucination mitigation, grounding, citations, and knowledge freshness
  • Ability to evaluate AI outputs and define performance metrics
  • Knowledge of AI governance, risk, and data privacy

Service Now AI & Platform Requirements:

  • Experience with building Service Now Virtual Agent topics with Now Assist
  • Familiarity with AI Agent Studio and AI-powered Service Now capabilities
  • Experience integrating Service Now with external AI platforms (OpenAI, AWS, etc.)
  • Strong understanding of Flow Designer, Integration Hub, Scripted REST APIs, and outbound integrations
  • Experience designing HRSD solutions (Case Management, Knowledge, Employee Center) is a plus

Additional Skills:

  • Deep expertise in cloud architecture, cybersecurity, data/analytics, automation, and network infrastructure
  • Proven experience designing and implementing large-scale enterprise solutions
  • Strong knowledge of modern architectural patterns, frameworks and best practices
  • Experience with cloud platforms (AWS, Azure, GCP) and associated services
  • Expertise in infrastructure as code, automation, and DevOps practices
  • Strong understanding of security principles and compliance requirements
  • Strong stakeholder management and executive communication abilities
  • Demonstrated ability to guide and influence through collaboration
  • Strong analytical and problem-solving capabilities with attention to detail
  • Experience with Agile methodologies and project delivery frameworks
  • Excellent written and verbal communication skills
  • Ability to translate complex technical concepts for non-technical audiences

Compensation and Benefits

The salary range estimated for this position based in Pennsylvania is $130,000.00–$185,000.00.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:

  • A choice of national medical and dental plans, and a national vision plan, including health incentive programs

  • Employee assistance and family support programs, including commuter benefits and tuition reimbursement

  • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy

  • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan

  • Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

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Thermo Fisher 소개

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+

직원 수

Waltham

본사 위치

$200B

기업 가치

리뷰

3.0

10개 리뷰

워라밸

3.5

보상

3.8

문화

3.2

커리어

3.5

경영진

2.1

45%

친구에게 추천

장점

Good benefits and compensation

Nice people to work with

Learning opportunities and skill development

단점

Poor management and leadership issues

Disengaged or unsupportive management

Frequent reorganizations and chaos

연봉 정보

2,092개 데이터

Junior/L3

Mid/L4

Junior/L3 · DATA ANALYST

1개 리포트

$130,000

총 연봉

기본급

$100,000

주식

-

보너스

-

$130,000

$130,000

면접 경험

8개 면접

난이도

3.0

/ 5

소요 기간

14-28주

합격률

12%

경험

긍정 12%

보통 63%

부정 25%

면접 과정

1

Application Review

2

Recruiter Screen

3

Hiring Manager Interview

4

Panel Interview

5

Final Interview

6

Offer

자주 나오는 질문

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit

Industry Specific