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Responsibilities
We are seeking a highly motivated AI Engineer with 5+ years of experience hine 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 RESPONSIBILITIESOur employees are tasked with delivering excellent business results through the efforts of their teams. These results are achieved by:AI Solution DevelopmentDesign, 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 & GenAIBuild 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 & IntegrationCollaborate 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 & DeploymentDeploy AI models and GenAI applications into production environments.Implement monitoring, model evaluation, drift detection, and performance optimization.Maintaure, 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 & GovernanceEnsure 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 CollaborationPartner 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 ABILITIESThe requirements listed below are representative of the experience, education, knowledge, skill and/or abilities required.EducationBachelor’s degree a Science, Artificial Intelligence, Engineering, Physics, Bioinformatics, or a related discipline.Master’s or PhD ificial Intelligence, Machine Learning, Data Science, Physics, Engineering, Bioinformatics, or a related discipline is highly valued.Candidates with advanced degrees are encouraged to apply; however, 5+ years of relevant hands-on industry experience remains the primary experience requirement.Experience5+ years of hands-on experience in AI/ML engineering.Experience developing and deploying production-grade AI applications.Mandatory experience developing solutions using Agentic AI frameworks.Experience with Generative AI, LLMs, RAG, NLP, and AI/ML application development.Experience working with cloud platforms and production AI/ML deployment environments.Experience working e Sciences, Clinical, or Pharmacovigilance domains is preferred.Technical SkillsProgramming / DatabasesPython – MandatorySQLREST APIsPostgreSQLAI / MLMachine LearningDeep LearningTransformer ModelsGenerative AILLM Fine-TuningNLPGenAI EcosystemAzure OpenAI / OpenAI APIsLangChainAgentic AI frameworks – MandatorycrewAILlamaIndexPrompt EngineeringRAG ArchitectureSemantic SearchVector DatabasesCloud PlatformsGCP – PreferredAzureAWSMLOps / InfrastructureMLflowDockerKubernetesCI/CD PipelinesOpenTelemetryPREFERRED QUALIFICATIONSGood understanding of Pharmacovigilance processes such as ICSR intake, case processing, submission, aggregate reports, signal detection, etc.Experience with Graph Databases and GraphRAG.Knowledge of Clinical Trial and Regulatory ecosystems.Experience working in GxP-validated environments.Experience implementing AI solutions within regulated Healthcare or Life Sciences environments.Experience with AI observability, evaluation, monitoring, and model governance.Preferred Domain KnowledgePharmacovigilanceDrug SafetyClinical ResearchClinical TrialsRegulatory AffairsLife SciencesHealthcareGxP / GVP environmentsFDA / EMA / MHRA regulatory ecosystemsAdditional InformationOUR CULTURAL BELIEFS:Patient Minded I act with the patient’s best interest in mind.Client Delight I own every client experience and its impact on results.Take Action I am empowered and empower others to act now.Grow Talent I own my development and invest in the development of others.Win Together I passionately connect with anyone, anywhere, anytime to achieve results.Communication Matters I speak up to create transparent, thoughtful and timely dialogue.Embrace Diversity I create an environment of awareness and respect.Always Innovate I am bold and creative in everything I do.Our team is aware of recent fraudulent job offers representing EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA.From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility.
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