Senior Engineer AI Architecture Hybrid

Work Flexibility: Hybrid

As a Senior Engineer AI Architecture you will design develop and implement internally built AI solutions leveraging Azurebased technologies with a focus on Azure Vision Azure Language and Azure OpenAI Service. You will collaborate with crossfunctional teams to ensure technical requirements satisfy business goals identify AI opportunities and design and build scalable and innovative solutions that drive business value.

What you will do

Solution Architecture

• Design endtoend AI solutions leveraging Azure Vision Azure Language and Azure OpenAI Service considering factors such as data ingestion preprocessing modeling deployment and monitoring.

Requirement Analysis

• Collaborate with technical stakeholders to refine requirements understand use cases and define AI solution objectives ensuring alignment with business goals and priorities.

AI Implementation

• Implement AI solutions including data integration model development integration with Azure services (e.g. Azure Cognitive Services Azure Machine Learning) and deployment to cloud environments.

Custom Model Development

• Develop custom machine learning models and algorithms using Azure Machine Learning Azure Databricks or other Azurebased 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 and architecture diagrams for associated projects and provide training and support to internal teams on Azure AI technologies and tools.

What you need

Required:

• Bachelors degree in computer science artificial intelligence data science or related field.
• 2 years of experience in software engineering data engineering or AI architecture roles with a focus on building AI solutions on Azure.
• Experience in Azure AI services including Azure Cognitive Services (Vision Language Speech) Azure Machine Learning and Azure OpenAI Service.
• Experience with Python R or C#.
• Experience in Azure Synapse Analytics Azure Data Lake and Azure Kubernetes Service.
• Experience in designing and implementing machine learning models natural language processing (NLP) computer vision applications and other AI technologies.
• Experience in DevOps practices CI/CD pipelines and infrastructure as code (IaC) tools for automated deployment and management of Azure resources.

Preferred:

• Masters degree.
• Azure certifications such as Microsoft Certified: Azure AI Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert
• Certifications in AI related disciplines such as Microsoft Certified: Azure AI Engineer Associate.

Travel Percentage: 20

Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race ethnicity color religion sex gender identity sexual orientation national origin disability or protected veteran status. Stryker is an EO employer M/F/Veteran/Disability.

Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay or the pay of another employee or applicant. However employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge (b) in furtherance of an investigation proceeding hearing or action including an investigation conducted by the employer or (c) consistent with the contractors legal duty to furnish information.