Sr. AI Developer, Engineering

Company Description

EVERSANA INTOUCH® is a global, full-service marketing agency network serving the life sciences industry, and is the first – and only – agency network to be part of a fully integrated commercialization platform through EVERSANA®. We provide next-generation creative and media services, enterprise solutions and data analytics services for clients.

We get fired up when people talk about getting—and staying—and healthy. That’s where we find our inspiration: in the very human experiences of patients, doctors, and even each other. Then, we collaborate on ways to make caring for one’s health more achievable, connecting patients and physicians with the information and tools they need.

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.

The Sr. AI Developer, Engineering will design, build, and deploy the core application components of EVERSANA’s AI Agency Platform — a multi-tenant enterprise system that connects generative AI, workflow automation, and compliance controls to accelerate pharmaceutical brand operations.

This Sr. AI Developer, Engineering will be responsible for developing backend services, APIs, and front‑end interfaces, integrating them seamlessly with third-party systems such as Veeva Vault, Salesforce Marketing Cloud (SFMC), SharePoint, Snowflake, and Google Cloud’s Vertex AI stack.

The ideal candidate combines hands‑on technical skills, system integration experience, and a deep understanding of data‑driven, secure platform engineering.

Our employees are tasked with delivering excellent business results through the efforts of their teams. These results are achieved by:

Application Development

• Design and implement backend services and APIs using Python (FastAPI, Flask, or similar frameworks).
• Build modern, responsive front‑end applications using React, Next.js, or Vue.js, ensuring scalability and usability.
• Develop orchestration workflows connecting AI agents, compliance services, and data pipelines.
• Implement robust error handling, logging, and retry mechanisms for reliable agent execution.
• Collaborate with AI/ML Engineers to integrate model endpoints (LLMs, RAG systems, Vertex AI Agents).

Integration & Connectors

• Build and maintain system connectors to enterprise tools such as:
  • Veeva Vault / Promo Mats (for MLR workflows)
  • Google Cloud Vertex AI & Orchestrate (for agent execution)
  • SharePoint / SFMC / Adobe Experience Cloud (for asset management and deployment)
  • Snowflake / Big Query (for analytics and data pipelines)
• Ensure secure authentication and authorization across all integrations using OAuth2, service accounts, and RBAC.
• Partner with Data Engineering to manage ETL/ELT pipelines feeding reporting dashboards.

Deployment & Orchestration

• Build microservices and APIs that support multi-tenant scalability and environment isolation.
• Automate deployments using CI/CD pipelines (Git Hub Actions, Jenkins, or Cloud Build).
• Collaborate with Dev Ops on containerization and orchestration using Docker and Kubernetes.
• Maintain code quality, testing coverage, and deployment reliability across environments (Dev, UAT, Prod).

Security & Compliance

• Implement role‑based access control (RBAC), audit logging, and encryption (at rest/in transit).
• Work closely with the Compliance and Security teams to ensure HIPAA, GDPR, and SOC 2 adherence.
• Ensure platform design meets pharma regulatory expectations for traceability and content integrity.

Collaboration & Delivery

• Partner with Product, UX, and QA teams in agile sprints to deliver features and fixes on schedule.
• Translate business and functional requirements into robust, maintainable technical solutions.
• Participate in sprint planning, code reviews, and cross‑functional demos.
• Document system design, integration specs, and deployment procedures.
• Modeling inclusive behaviors and proactively managing bias.
• All other duties as assigned.

Consi…