Senior Lead AI Engineer

As a Lead AI Engineer, 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 projects while providing essential technical leadership. Utilizing Microsoft-based technologies, including Copilot Studio, Azure Vision, Azure Language, and Azure OpenAI Service, you will develop scalable, stable, and secure AI solutions that meet business needs and efficiency objectives. Your expertise in AI and strong leadership skills will guide and inspire the team toward successful AI initiatives.

Essential duties & responsibilities: (detailed description)

• Requirement Analysis: Collaborate with business stakeholders to gather requirements and define solution objectives aligned with business goals.
• Development and Implementation: Lead solution implementation including data integration, model development, and deployment. Engineer and improve AI systems and tools. Build prototypes, POCs, and MVPs to bring solutions in a structured manner.
• Platform: Support the AI platform implementation, ensuring robustness and reliability.
• Security and Compliance: Ensure AI solutions adhere to security best practices and data privacy regulations.
• Documentation and Training: Create technical documentation and best practice guidelines. Provide training on AI technologies.
• Monitoring and Maintenance: Implement monitoring to track AI solution performance and proactively address issues.
• Architecture: Design scalable, secure, and compliant AI solutions in collaboration with AI architects, integrating smoothly with existing IT infrastructure.
• Development and Implementation: Develop, test, and implement solutions following SDLC best practices, including version control, code review, and CI/CD processes.
• Quality Assurance and Testing: Execute comprehensive testing strategies and resolve defects.
• Integration and System Connectivity: Manage AI solution integration with internal and external systems, ensuring data consistency and interoperability.
• Documentation and Change Management: Produce detailed documentation for AI processes and handle changes with minimal disruption. Contribute to best practice development.
• Stakeholder Engagement and Communication: Facilitate effective communication between technical teams and business stakeholders, managing interactions and escalations.
• Professional Development and Innovation: Stay current with AI trends and encourage team innovation by exploring new tools and techniques.
  
  

Education & special trainings:

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field (Master's degree in Science preferred).
• Fluent spoken and written English. Any other language is a plus.
• Azure certifications such as Azure AI Engineer Associate are a plus.
  
  

Qualifications & experience:

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field (Master's degree in Science preferred).
• 4+ years of experience in software engineering.
• 4+ years in AI or data science roles, with a focus on building AI solutions on Azure preferred.
• Proficient in Python or C#, with strong Azure cloud expertise.
• Skilled in Azure AI services (Copilot Studio, Cognitive Services, Machine Learning, OpenAI, Search, Blob Storage, Web App, Functions).
• Experience with LLMs, Generative AI, machine learning, NLP, and computer vision models.
• Knowledge of DevOps practices, CI/CD pipelines
• Ability to translate complex business requirements into functional specifications for effective project implementation.
• Experienced in agile environments for timely, quality solution delivery.
  
  

Physical & mental requirements:

• Ability to work well with cross-functional teams, multi-task and meet deadlines consistently
• Good communication (verbal and written) and interpersonal skills, attention to detail and ability to communicate complicated issues effectively.
• Demonstrated ability to perform consistently under varying business pressure as well as ability to adapt to a quickly changing environment.
• Effective problem-solving skills, ensuring the ability to address challenges promptly and efficiently.
  
  

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 150 million patients annually.