Sr AI Engineer (Generative AI & Pharmacovigilance)

Company DescriptionAt EVERSANA, we are proud to be certified as a Great Place to Work across the globe. Were fueled by our vision to create a healthier world. How Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us! Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA. Job DescriptionWe are seeking a highly motivated AI Engineer with 5+ years of experience in Artificial Intelligence, Machine Learning, Generative AI, and Agentic Engineering to join our Pharmacovigilance Technology team. The ideal candidate will work closely with Pharmacovigilance SMEs, Product Owners, Data Scientists, Safety Operations Teams, and Software Engineers to design, develop, and deploy AI-powered solutions that enhance drug safety monitoring, adverse event case processing, signal detection, literature surveillance, regulatory reporting, and medical document intelligence. This role offers an opportunity to shape next-generation AI products leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), NLP, Machine Learning, and Agentic AI frameworks within the Life Sciences domain. ESSENTIAL DUTIES AND RESPONSIBILITIES Our employees are tasked with delivering excellent business results through the efforts of their teams. These results are achieved by: AI Solution Development Design, develop, and deploy AI/ML solutions for Pharmacovigilance business processes.Build Generative AI applications using OpenAI, Azure OpenAI, Anthropic, Llama, or equivalent LLM platforms.Develop domain-specific AI assistants for PV operations and safety case management.Build intelligent document processing solutions for source documents, ICSRs, safety narratives, and regulatory reports.Large Language Models & GenAI Build and optimize RAG-based applications using vector databases.Develop prompt engineering frameworks and evaluation methodologies.Fine-tune domain-specific models using pharmacovigilance datasets.Develop AI agents and workflow automation capabilities using Agentic AI frameworks.Develop and implement evaluation strategies for LLM and Agentic AI applications.Data Engineering & Integration Collaborate with data engineers to integrate safety systems and clinical data sources.Develop data pipelines for structured and unstructured PV data.Integrate APIs and enterprise applications into AI workflows.Work with structured and graph-based data sources to support advanced AI applications.MLOps & Deployment Deploy AI models and GenAI applications into production environments.Implement monitoring, model evaluation, drift detection, and performance optimization.Maintain scalable, secure, and compliant AI infrastructure.Implement observability and telemetry for AI/ML applications and services using OpenTelemetry.Support CI/CD and automated deployment pipelines for AI applications.Compliance & Governance Ensure AI solutions comply with GxP, GVP, FDA, EMA, MHRA, and internal quality standards.Support AI validation, audit readiness, traceability, and documentation requirements.Implement Responsible AI and model governance practices.Stakeholder Collaboration Partner with Pharmacovigilance SMEs and Product Managers to understand business requirements.Translate regulatory and safety requirements into scalable AI solutions.Support demos, proof-of-concepts, and innovation initiatives. QualificationsMINIMUM KNOWLEDGE, SKILLS AND ABILITIES The requirements listed below are representative of the experience, education, knowledge, skill and/or abilities required. Education Bachelors degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Physics, Bioinformatics, or a related discipline.Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Physics, Engineering, Bioinformatics, or a related discipline is highly valued.Candidates with advanced degrees are encouraged to apply; however .