Boston Scientific AI Data Digital Architect 

United States, Massachusetts, Marlborough 

887615966

US-MN-Arden Hills; US-MN-Maple Grove

Your responsibilities will include:

• Define and oversee the AI/GenAI technical direction and architectural vision, ensuring alignment with strategic goals and digital and data transformation efforts.
• Translate the vision into realistic technical implementations, identifying misaligned initiatives and impractical use cases across data and digital products.
• Contribute to architecting a comprehensive AI framework that supports the deployment, evaluation, and management of GenAI solutions.
• Drive the selection of appropriate technologies and enable platforms to deliver on strategic AI/GenAI programs globally.
• Collaborate with the Enterprise Architecture team on Application, Data, and Digital to pilot use cases and discuss architectural design.
• Gather inputs from multiple stakeholders to align technical implementations with existing and future requirements.
• Oversee the successful execution of AI/GenAI programs and delivery using agile methodology.
• Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations.
• Educate AI, data, and digital product managers and business stakeholders on the potential and limitations of AI/GenAI when planning new products.

Required qualifications:

• 10+ years architecture experience.
• 5+ years of experience working in an AI, data, digital environment.
• 5+ years of experience with application architecture analysis, design, and delivery.
• 5+ years of full system development life cycle implementations
• Demonstrated ability to create implementation roadmaps that provide realistic progress to achieving a future state.
• Ability to create architectures for complex solutions leveraging approved strategic and standard technologies.
• Capable of explaining architecture principles in both IT and non-IT terms across multiple architecture domains.

Preferred qualifications:

• Certifications in AI/ML technologies and cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect.
• Experience in Generative AI and large language models (LLMs), with a preference for those experienced in delivering and productionizing these technologies.
• Experience in implementing cloud-based AI/ML workloads on platforms like AWS, Microsoft Azure, or Google Cloud.

Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.