Role Overview:The AI Engineer & Automation Lead will design, implement, and operationalize automation and AI capabilities that enhance the efficiency, quality, and compliance of digital content operations within a highly regulated Life Sciences environment.
Key Responsibilities:- Build AI-driven solutions to improve speed, accuracy, and compliance across the content lifecycle.
- Develop smart automation for automated QC for email, banner, PDF, and IVA assets.
- Create and maintain an AI powered PDF/document comparison engine to accelerate regulatory review, ensuring alignment with source files, claim references, and approved content.
- Design and implement AI-based PDF annotation capabilities, enabling automated review tagging, comment summarization, and change detection.
Marketing Technology & Content Operations Automation:- Design and automate workflows across Veeva PromoMats / Vault (VAE generation, metadata validation, reference linking), Veeva CRM (VAE send, audience targeting, testing), Salesforce Marketing Cloud (SFMC) email builds, dynamic content testing, and deployments, Adobe Journey Optimizer (AJO) journey setup, testing, and email operationalization.
- Enhance operational efficiency through automated asset packaging and trafficking, compliance metadata validation, automated broken-link and rendering checks, IVA build and update validation scripts.
Quality Assurance & Compliance Support:- Lead manual + automated quality control aligned to Lilly's standards, including content accuracy, regulatory compliance elements (ISI, footnotes, references, claims alignment), channel-specific formatting (email, IVA, PDF, banner), rendering across devices, browsers, CRM platforms.
- Support audit readiness and documentation for automated processes to remain compliant with Life Sciences regulations.
Content Production & Delivery Support:- Perform manual PDF creation when automated GTS workflows cannot produce compliant output.
- Oversee and automate banner trafficking, including file format validation, tracking parameter insertion (UTMs, platform tags), platform-readiness auditing.
Required Qualifications:- Bachelor's or Master's in Computer Science, Engineering, Data Science, AI/ML, or similar.
- 4+ years experience in AI development, automation, or MarTech engineering-preferably within Life Sciences.
- Hands-on experience with Python, JavaScript/TypeScript, AI/ML frameworks (OpenAI, Azure OpenAI, TensorFlow, PyTorch), Veeva Vault PromoMats & Veeva CRM, SFMC, Adobe Experience Cloud, AJO, PDF processing tools (PyPDF2, PDFMiner, OCR libraries).
Preferred Qualifications:- Prior work supporting pharmaceutical content supply chains, digital factories, or global production teams.
- Experience automating VAE builds, IVA QC, SFMC dynamic content validation, Veeva metadata validation.
Core Competencies:- Strong understanding of pharma compliance and digital content governance.
- Ability to translate regulatory and process requirements into scalable automation.
- Excellent stakeholder management skills-able to partner with brand teams, MLR, analytics, and technology groups.
- High attention to detail and quality-first mindset.
- Ability to operate in a global, matrixed organization.
