Sr. Staff IT Architect - AI Architect (HRIT)

Thermo Fisher Scientific•Pittsburgh, PA

21h•$130,000 - $185,000•Onsite

About The Position

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 ('HiRo') 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 ServiceNow (including NowAssist) 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 ServiceNow 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., AgentKit, Agent Builder, OpenAI API, ChatKit, 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
ServiceNow AI & Platform Requirements: Experience with building ServiceNow Virtual Agent topics with Now Assist
Familiarity with AI Agent Studio and AI-powered ServiceNow capabilities
Experience integrating ServiceNow with external AI platforms (OpenAI, AWS, etc.)
Strong understanding of Flow Designer, IntegrationHub, 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

Responsibilities

Design and implement enterprise-wide solutions, with a focus on HR AI.
Leverage ServiceNow (including NowAssist) 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
Design AI solutions using ServiceNow 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)
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

Benefits

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

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