Work Flexibility: Hybrid

AI Manager

As an AI Manager at Stryker, you will drive innovation by contributing to the full Software Development Lifecycle (SDLC) of AI solutions. This role involves conceptualizing, designing, developing, and implementing AI initiatives while providing essential technical leadership. Leveraging Microsoft-based technologies including Copilot Studio, Azure Vision, Azure Language, and Azure OpenAI Service you will develop scalable, stable, and secure AI solutions that align with business needs and operational efficiency objectives. Your combined expertise in AI and leadership will guide and inspire cross-functional teams toward successful AI deployments.

What you will do:

• Team Leadership & Citizen Development: Lead and mentor the cross-functional AI team while defining and executing a citizen development strategy to empower business users.
• Requirement Analysis: Gather and translate AI requirements to ensure alignment with business objectives.
• Solution Development & Implementation: Oversee the end-to-end delivery of AI solutions, from data integration to deployment.
• Platform Support: Support AI platforms for performance, reliability, and seamless integration.
• Security & Compliance: Enforce data privacy, security best practices, and governance throughout the AI lifecycle.
• Architecture Design: Collaborate on creating scalable, secure AI architectures that balance performance and cost-effectiveness.
• Quality Assurance & Testing: Develop and execute robust testing strategies to ensure solution quality and swiftly address defects.
• Integration & Connectivity: Ensure seamless system interoperability and implement effective CI/CD practices.
• Monitoring & Maintenance: Establish monitoring systems to track performance and proactively optimize AI solutions.
• Documentation & Stakeholder Communication: Maintain clear technical documentation and facilitate effective communication between technical teams and business stakeholders.

What you need:

Required Qualifications:

• Minimum 12 years of experience in leading teams designing, implementing, maintaining, and enhancing AI or software solutions with minimum 4 years of people management experience.

• Proficiency in Python or C#, with solid experience in Azure cloud services (Copilot Studio, Azure AI Services, Azure Machine Learning).

• Familiarity with DevOps practices and CI/CD pipelines (Azure DevOps or equivalent).

• Demonstrated ability in agile environments to translate business requirements into functional specifications, leading to efficient and effective implementation of automation projects throughout the software development life cycle.

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field (Master’s degree in Science preferred).

• Azure certifications (e.g., Azure AI Engineer Associate) are highly advantageous.

Travel Percentage: 10%