Senior AI & Data Engineer

This role serves as the Web Delivery Lead within the Global Digital Engagement Platforms team, responsible for leading the end-to-end delivery of enterprise websites built on the Adobe Experience Manager (AEM) platform. The ideal candidate combines strong delivery management capabilities with hands-on technical proficiency in Python, AI/ML model integration, and prompt engineering to drive next-generation digital experiences.

What You Will Do

Lead a cross-functional delivery team across global markets, ensuring websites are launched on time, within scope, and aligned with brand, compliance, and accessibility standards. Develop and maintain Python-based automation scripts and tools to streamline website setup, content migration, metadata enrichment, QA validation, and reporting workflows.

Why It Might Be a Fit

This is a unique opportunity to sit at the intersection of delivery excellence, platform engineering, and AI innovation, shaping how the company engages patients, healthcare professionals, and caregivers through its global web channel. The ideal candidate has a builder's mindset—someone who can architect automation solutions, train and fine-tune AI models for content operations, and embed intelligent capabilities into the web delivery lifecycle.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• 2–3+ years in web delivery/digital platforms
• AEM platform expertise — AEM Sites, Cloud Service, Java, OSGi, JCR, JavaScript, Content Fragments
• Python (3.x) proficiency — automation scripting, API integrations, and ML model development using TensorFlow, PyTorch, or Hugging Face
• AI/ML & prompt engineering — experience with LLMs (GPT, Claude, LLaMA), prompt optimization, model fine-tuning, RAG patterns, and vector databases
• Proven ability to lead globally distributed, cross-functional teams in agile environments with strong stakeholder communication
• Working knowledge of Adobe Experience Cloud, cloud platforms (AWS/Azure/GCP), and DevOps tooling (CI/CD, Docker, Kubernetes)
• Familiarity with CDN, DNS, WAF, cookie consent, web accessibility (WCAG/EAA), and pharma/life sciences compliance requirements
• Experience with NLP, personalization algorithms, semantic search, and ability to evaluate and build business cases for emerging AI technologies

Benefits

• equal opportunity employer
• candidate privacy policy