Sr AI Engineer (Generative AI & Pharmacovigilance)

We 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.

Qualifications :

MINIMUM 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 5 years of relevant hands-on industry experience remains the primary experience requirement.

Experience

• 5 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 in Healthcare Life Sciences Clinical or Pharmacovigilance domains is preferred.

Technical Skills

Programming / Databases

• Python Mandatory
• SQL
• REST APIs
• PostgreSQL

AI / ML

• Machine Learning
• Deep Learning
• Transformer Models
• Generative AI
• LLM Fine-Tuning
• NLP

GenAI Ecosystem

• Azure OpenAI / OpenAI APIs
• LangChain
• Agentic AI frameworks Mandatory
• crewAI
• LlamaIndex
• Prompt Engineering
• RAG Architecture
• Semantic Search
• Vector Databases

Cloud Platforms

• GCP Preferred
• Azure
• AWS

MLOps / Infrastructure

• MLflow
• Docker
• Kubernetes
• CI/CD Pipelines
• OpenTelemetry

PREFERRED QUALIFICATIONS

• Good 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 Knowledge

• Pharmacovigilance
• Drug Safety
• Clinical Research
• Clinical Trials
• Regulatory Affairs
• Life Sciences
• Healthcare
• GxP / GVP environments
• FDA / EMA / MHRA regulatory ecosystems

Additional Information :

OUR CULTURAL BELIEFS:

Patient Minded I act with the patients 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 in the market misrepresenting 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 EVERSANAs 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 ones identity. All of our employees points of view are key to our success and inclusion is everyones responsibility.

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Remote Work :

Yes

Employment Type :

Full-time