Director, AI Acceleration

About the role

The role of AI Engineering Director at P&G involves leading a team in developing cutting-edge AI tools to address complex business challenges. This includes defining and shaping innovative frameworks, deploying algorithmic products across clouds, and managing a team of AI engineers.

Responsibilities

• Engage in proof of concepts and experiments to evaluate new models and technology.
• Develop high quality, standard-compliant, tested code.
• Contribute code and tools to central reusable libraries and repositories and open-source projects, in line with P&G IT policies.
• Develop data models, model features, data quality tests, ETL/ELT pipelines, and distributed computer architectures.
• Deploy algorithmic products across the clouds, skillfully leveraging cloud-native services.
• Directly manage other AI engineers, providing coaching, and grooming for development.
• Stay up to date on AI landscape, bringing in latest technologies to adapt to P&G business challenges.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Mathematics, Data Science, or related field.
• 10+ years of experience working across IT or Engineering roles.
• 6+ years of technical hands-on experience developing AI/ML applications.
• Demonstrated track record of building production solutions with traditional and Generative AI models.
• Proficient in Python and working in Cloud environments.
• Knowledgeable in code and work management tools: Git, Jira, Confluence.
• Exceptional communication skills to work with cross-functional teams and non-technical stakeholders.
• Ability to mentor and develop engineering talent.

Qualifications

• Masters or PhD in Computer Sciences, Software Engineering or related field preferred.
• 3+ years of experience in developing solutions with GenAI, LLM & Agentic tools.

Pay

The starting pay range for this role is $144,000.00 - $220,000.00 per year, with compensation varying based on a variety of factors including location, role, degree/credentials, relevant skills, and level of experience.