Enterprise Applied AI Lead
Perrigo Company plc
Full-time
Remote friendly (Grand Rapids, MI)
United States
Corporate Functions
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Role Summary
Enterprise Applied AI Lead responsible for identifying, developing, and deploying AI solutions that drive business value across functions such as Brand & Category, Commercial, R&D, supply chain, marketing, and finance. Reports to the VP – Data, Analytics & AI and contributes to Perrigo’s digital transformation journey.
Responsibilities
- Define and execute the applied AI strategy aligned with Perrigo’s business goals.
- Identify high-impact AI use cases and lead cross-functional initiatives to deliver solutions.
- Collaborate with business leaders to prioritize AI projects and measure ROI.
- Define and execute a multi-year roadmap converging agentic AI, RPA, and process-mining.
- Lead the development and deployment of ML models and AI applications leveraging Gen AI, AI Agents, Agentic AI and cloud services (e.g., Azure ML).
- Operationalize an Agentic Automation CoE—governing standards, reusable templates, and ROI tracking.
- Ensure scalability, reliability, and ethical use of AI technologies.
- Oversee model lifecycle management including training, validation, monitoring, and retraining.
- Evaluate and implement AI platforms & tools; architect modular multi-agent systems powered by frontier LLMs and agent frameworks.
- Drive automation and MLOps practices for efficient model deployment.
- Integrate AI solutions with enterprise systems and data platforms.
- Lead and mentor a team of data scientists, AI/ML engineers and AI Architects.
- Foster a culture of innovation, experimentation, and continuous learning.
- Promote agile methodologies and cross-functional collaboration.
- Ensure responsible AI practices including fairness, transparency, and privacy.
- Collaborate with legal and compliance teams to align AI initiatives with regulations.
- Establish governance frameworks for AI model usage and data handling.
Qualifications
- Technical Expertise: Proficiency in Python, TensorFlow, PyTorch, and cloud-native AI platforms.
- AI/ML Knowledge: Strong understanding of supervised, unsupervised, and reinforcement learning.
- Project Management: Proven ability to lead complex AI initiatives and deliver results.
- Communication: Excellent verbal and written communication skills, with the ability to influence stakeholders.
- Leadership: Demonstrated success in building and leading high-performing AI teams.
- Problem Solving: Strong analytical mindset with a focus on scalable solutions.
- Education/Experience: Bachelor's degree in computer science, data science, or closely related field; 10–15 years of AI/ML experience, with at least 3 years in a leadership role.
- Technical Experience: 7+ years hands-on with Python, SQL, R, MATLAB, PyTorch, Keras, Git.
- Experience: 10+ years architecting ML/deep-learning solutions incl. LLMs (GPT-4, BERT, LLaMA, Dolly) and RAG pipelines.
- Experience: 8+ years building web apps (Dash, Streamlit, Shiny) and advanced data products.
- Experience: 8+ years implementing scalable AI/ML on platforms like Databricks; strong AI/MLOps; knowledge of AWS/Azure; compliance (GxP, HIPAA, GDPR).
- Education: Masters or PhD preferred.
Skills
- Strategic AI leadership and governance
- AI platform evaluation and implementation
- ML lifecycle management and MLOps
- Cross-functional collaboration and stakeholder management
- Ethical and compliant AI practices
Education
- Bachelor's degree in computer science, data science, or closely related field; Masters or PhD preferred.
Additional Requirements
- None beyond job-specific qualifications listed above.