





Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Metro role but senior, niche Enterprise AI and regulated MedTech needs reduce candidate density.
MedTech regulatory and enterprise AI architecture requirements strongly limit transferable background.
Explicit 10+ years, required enterprise AI architecture and regulated MedTech experience create high selection strictness.
Design and architect scalable, secure Enterprise AI and GenAI solutions across Manufacturing, MedTech, Commercial, and Procurement domains aligned to business outcomes.
Lead AI delivery lifecycle including AI design assurance, governance, stakeholder collaboration, and vendor-led program oversight to ensure responsible AI adoption and operational readiness.
Develop integration architectures connecting AI solutions with ERP, CRM, manufacturing, data platforms, and collaboration tools, emphasizing security, privacy, and compliance in regulated MedTech environments.
Bachelor’s degree in Computer Science, Engineering, Information Systems or equivalent experience.
10+ years of experience in Solution Architecture, enterprise applications, AI-enabled solutions, or systems integration roles.
Demonstrated expertise designing Enterprise AI, GenAI, or intelligent automation solutions within Manufacturing and MedTech regulated domains; knowledge of Commercial and Procurement functions preferred.
Not explicitly mentioned: Notice period or mandatory certifications, though certifications in Azure AI, Cloud Architecture, TOGAF, Agile, or PMP are preferred.
Experienced in enterprise AI solution design with strong understanding of regulated Manufacturing and MedTech processes and compliance requirements.
Skilled in integration architecture across ERP, CRM, cloud, middleware, and SaaS platforms, including secure AI data interactions and governance.
Proficient at leading complex AI delivery programs in matrixed environments, collaborating with senior stakeholders, vendors, and cross-functional teams on responsible AI and adoption initiatives.