Develop and implement a comprehensive technology strategy for all AI platform solutions, encompassing AI Cloud Architecture, AI Cloud and AI Platforms.
Lead and inspire teams of talented professionals, fostering a culture of innovation, collaboration, and excellence.
Oversee the design and deployment of scalable, secure, and efficient AI cloud solutions. Ensure best practices in cloud-native development and DevOps are followed.
Work with internal stakeholders to define the MLOps roadmap and enable utilization across all of Stryker.
Collaborate with the business development team to identify new market opportunities, enhance service offerings, and establish strategic partnerships.
Provide technical leadership, offering expert advice and solutions for complex cloud and AI challenges.
Stay at the forefront of technology trends and innovations in AI and cloud computing, integrating cutting-edge solutions into our offerings.
Ensure the reliability, scalability, and security of all technology solutions. Drive continuous improvement in processes and technologies.
What you need:
Required
Educational Qualification of B Tech / BS / BE or equivalent.
10 years of experience in software development, with at least 3 years in a managerial or leadership role or equivalent experience.
7 Years of experience with AI and machine learning technologies, including designing and deploying scalable AI solutions.
7 Years of Experience in data science, including analytical tools, managing large datasets and basic data curation.
7 Years experience implementing, managing and maintaining solutions on Microsoft Azure.
Deep understanding of cloud computing platforms (e.g., Azure/AWS) and experience in managing complex cloud architectures.
Proven track record of managing and delivering large-scale software projects on time and within budget.
Proficiency in application modernization, cloud-native development, DevOps practices, and security best practices in cloud environments.
Preferred
Strong problem-solving, analytical, and critical thinking skills.
Excellent communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to executive management and non-technical stakeholders.
Experience in leading cross-functional teams and driving initiatives that enhance technology capabilities and business outcomes.
Proven ability to develop and execute strategic plans to foster growth and innovation in cloud and AI technologies.
