AI Solutions Architect

Stryker Corporation
United States
19 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Languages
English

Tech stack

Artificial Intelligence Microsoft Azure Machine Learning Software Deployment Prompt Engineering Generative AI Information Technology

Job description

As part of the Global Process Excellence organization, the AI Solutions Architect will play a strategic role within the Intelligent Automation, driving the adoption of Artificial Intelligence across Global Finance and other business functions.

This position will partner with business leaders and the Enterprise Digital & Technology (EDT) organization to identify opportunities, define AI strategies, and deliver scalable AI solutions that generate measurable business value. The role requires expertise in Azure AI Foundry, Copilot Studio, and modern AI technologies, combined with strong communication and leadership skills to guide initiatives from ideation through production deployment.

The AI Solutions Architect will serve as a trusted advisor to both business and technology teams, ensuring AI solutions are aligned with enterprise standards, security requirements, and strategic objectives.

What will you do:

  • Partner with business stakeholders to identify, prioritize, and define AI opportunities aligned with business goals.
  • Lead AI discovery workshops and facilitate conversations that translate business challenges into AI solutions.
  • Develop AI roadmaps and implementation strategies in collaboration with business teams and EDT.
  • Design end-to-end AI solutions leveraging Azure AI Foundry, Azure OpenAI, Copilot Studio, AI Agents, and related technologies.
  • Collaborate closely with EDT teams to ensure solutions align with enterprise architecture, security, governance, and technology standards.
  • Lead AI initiatives throughout the full project lifecycle, from ideation and solution design to deployment, adoption, and value realization.
  • Evaluate emerging AI technologies and recommend opportunities for business transformation.
  • Mentor developers and technical teams on AI solution design and best practices.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • 6+ years of experience in technology, digital transformation, solution architecture, or intelligent automation.
  • 3+ years of experience leading AI, Generative AI, Machine Learning, or Intelligent Automation initiatives.
  • Proven experience designing and delivering enterprise AI solutions.
  • Hands-on experience with Azure AI Foundry, Azure OpenAI, and Copilot Studio.
  • Strong understanding of AI Agents, Prompt Engineering, and AI governance principles.
  • Experience partnering with business leaders to define AI strategies and build AI roadmaps.
  • Experience working closely with enterprise IT organizations and cross-functional global teams.
  • Excellent communication, presentation, and stakeholder management skills.
  • Strong English verbal and written communication skills.

About the company

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology and Orthopaedics that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on stryker.wd1.myworkdayjobs.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:34 min

Transitioning from traditional software development to artificial intelligence consulting

Patrick Schnell Patrick Schnell · Coffee With Developers

2:37 min

Tracing the evolution from early AI to generative AI

Mike Mike · WWC 2025

1:06 min

Outline of free tools for Microsoft Azure

Radu Vunvulea Radu Vunvulea · WWC 2022

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

2:12 min

Navigating technical clarity as a global black belt

Chris Heilmann +2 · LIVE

2:14 min

Introduction to generative AI and content warnings

Cheuk Ho · WWC 2023

Videos

See all

Related articles

See all