Cencora is looking to advance its AI capabilities by building and leading a newly established domain focused on research, experimentation, and analysis to improve the lives of people and animals everywhere.
Requirements
- Comprehensive knowledge of the entire AI spectrum including ML, generative, agentic, computer vision, and edge AI along with key platform vendors.
- Strong knowledge of AI/ML tooling (Python, R, ML models, Azure AI Foundry) and frameworks like TensorFlow or PyTorch.
- Working knowledge of cloud platform configuration and development (Azure, AWS, GCP).
- Demonstrated expertise in modern data stacks (Vector databases, Databricks, Neo4j).
- Experience with experimentation frameworks, prototyping, and agile development methodologies.
- Outstanding leadership and organizational skills to establish processes and ways of working.
- Superior communication skills to engage both technical and business stakeholders.
Responsibilities
- Establish and lead an AI Lab function focused on research and experimentation, including the development of prototypes, proofs of concept, and pilot projects to test novel AI applications and methodologies.
- Identify and evaluate emerging AI technologies, methodologies, and trends to assess their relevance and potential impact on Cencora’s portfolio.
- Build and manage a small, high-performing team of technologists and developers focused on exploring cutting-edge AI technologies.
- Develop a structured process for research, experimentation, and evaluation of new technologies and approaches.
- Monitor industry trends by cultivating relationships with academic institutions, research organizations, innovative startups and industry thought leaders
- Represent Cencora at AI conferences, forums, and partnerships to ensure visibility and access to cutting-edge developments.
- Collaborate with stakeholders across the organization to align research efforts with business needs and priorities.
Other
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field; advanced degree (Master’s or PhD) preferred.
- 10+ years of combined experience across AI research, applied machine learning, and data-driven innovation, including at least 5 years leading high-impact, cross-disciplinary teams.
- Proven track record of leading research and innovation initiatives within a corporate, academic, or startup environment.
- Collaborative mindset to foster partnerships across diverse teams and external organizations.
- Passionate consumer of information on AI and related emerging technologies.
