Architect, AI Systems

Why join Stryker?

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As an Architect, AI Systems, you will lead the design, development, and implementation of internally built AI solutions leveraging Azure-based technologies, with a focus on Azure Vision, Azure Language, and Azure OpenAI Service. You will collaborate with cross-functional teams to understand business requirements, identify AI opportunities, and architect scalable and innovative solutions that drive business value. This role requires expertise in Azure AI services, software architecture, and strong leadership skills to guide and inspire the team towards successful AI initiatives.

Who we want:

Dedicated achievers. People who thrive in a fast-paced environment and will stop at nothing to ensure a project is complete and meets regulations and expectations.

Goal-oriented developers. Keeping the customer and requirements squarely in focus, people who deliver safe and robust solutions.

Motivated product launchers. People who bring strategic direction and drive for execution to ensure products are developed and launched with precision.

What you will do:

• Solution Architecture: Design end-to-end AI solutions leveraging Azure Vision, Azure Language, and Azure OpenAI Service, considering factors such as data ingestion, preprocessing, modeling, deployment, and monitoring.
• Technical Leadership: Provide guidance and leadership to AI development teams, driving best practices, architectural standards, and ensuring alignment with Azure AI capabilities and industry trends.
• Requirement Analysis: Collaborate with business stakeholders to gather requirements, understand use cases, and define AI solution objectives, ensuring alignment with business goals and priorities.
• Azure AI Implementation: Lead the implementation of AI solutions on Azure, including data integration, model development, integration with Azure services (e.g., Azure Cognitive Services, Azure Machine Learning), and deployment to Azure cloud environments.
• Custom Model Development: Develop custom machine learning models and algorithms using Azure Machine Learning, Azure Databricks, or other Azure-based tools, tailored to specific business needs and use cases.
• Integration and Orchestration: Integrate AI solutions with existing systems, applications, and data pipelines, leveraging Azure services such as Azure Data Factory, Azure Functions, and Azure Logic Apps for orchestration and automation.
• Performance Optimization: Optimize AI models and algorithms for performance, scalability, and efficiency, utilizing techniques such as distributed computing, parallel processing, and model tuning on Azure infrastructure.
• Security and Compliance: Ensure the security and compliance of AI solutions, adhering to Azure security best practices, data privacy regulations, and industry standards (e.g., GDPR, HIPAA).
• Monitoring and Maintenance: Implement monitoring and logging mechanisms to track the performance, reliability, and usage of AI solutions, and proactively identify and address issues to ensure uptime and availability.
• Documentation and Training: Create technical documentation, architecture diagrams, and best practice guidelines for AI development on Azure, and provide training and support to internal teams on Azure AI technologies and tools.

What you need:

• Bachelor's in Computer Science, Artificial Intelligence, Data Science, Engineering, Business, or equivalent field of study required.
• Master's degree in MIS, MBA or related disciplines preferred.
• 8+ years of experience in software engineering is required.
• 4+ years data engineering, or AI architecture roles, with a focus on building AI solutions on Azure preferred.
• Expertise in Azure AI services, including Azure Cognitive Services (Vision, Language, Speech), Azure Machine Learning, and Azure OpenAI Service preferred.
• Strong programming skills in languages such as Python, R, or C#, and proficiency in Azure cloud technologies (e.g., Azure Synapse Analytics, Azure Data Lake, Azure Kubernetes Service) preferred.
• Experience in designing and implementing machine learning models, natural language processing (NLP), computer vision applications, and other AI technologies preferred.
• Familiarity with DevOps practices, CI/CD pipelines, and infrastructure as code (IaC) tools for automated deployment and management of Azure resources preferred.
• Azure certifications such as Microsoft Certified: Azure AI Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert are a plus.
• Certifications in AI-related disciplines is preferred (e.g., AWS Certified Machine Learning Specialty, Microsoft Certified: Azure AI Engineer Associate).

About Stryker

Our benefits:

• 12 paid holidays annually
• Health benefits include: Medical and prescription drug insurance, dental insurance, vision insurance, critical illness insurance, accident insurance, hospital indemnity insurance, personalized healthcare support, wellbeing program and tobacco cessation program.
• Financial benefits include Health Savings Account (HSA), Flexible Spending Accounts (FSAs), 401(k) plan, Employee Stock Purchase Plan (ESPP), basic life and AD&D insurance, and short-term disability insurance.

For a more detailed overview of our benefits or time off, please follow this link to learn more: US Stryker employee benefits

About Stryker
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, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 130 million patients annually. More information is available at stryker.com.

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Stryker is driven to work together with our customers to make healthcare better. Employees and new hires in sales and field roles that require access to customer accounts as a function of the job may be required, depending on customer requirements, to obtain various vaccinations as an essential function of their role.