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EVERSANA INTOUCH is a global, full-service marketing agency network serving the life sciences industry, part of the fully integrated EVERSANA commercialization platform. The company provides creative, media, enterprise solutions, and data analytics services for pharmaceutical and healthcare clients.
The Senior AI Developer, Engineering role combines senior software engineer, solutions architect, and client-facing technical consultant responsibilities. You will design, build, and deploy enterprise-grade AI solutions that connect generative AI, workflow automation, compliance controls, and business systems to accelerate pharmaceutical and healthcare marketing operations.
Key responsibilities include:
**Client Discovery & Technical Leadership:** Lead technical discovery sessions with client business, IT, architecture, security, data, and operations teams. Translate business objectives and operational challenges into technical requirements and architecture designs. Serve as a trusted technical advisor to clients and internal stakeholders, communicating complex AI, data, platform, and integration concepts to both technical and executive audiences. Identify technical risks, dependencies, and mitigation strategies early. Develop technical prototypes and proofs of concept to validate solution feasibility.
**Solution Architecture & Engineering:** Design end-to-end solutions connecting AI capabilities with client systems, data sources, content repositories, workflows, and approval environments. Build production-quality integrations using APIs, webhooks, event-based patterns, and enterprise integration platforms. Develop client-specific configuration and deployment assets while preserving shared platform architecture. Contribute hands-on code across backend services, integration components, data pipelines, and AI workflows. Design AI-enabled workflows using large language models, retrieval-augmented generation, agent orchestration, and human approval checkpoints. Implement authentication, authorization, secrets management, error handling, observability, and audit requirements.
**Enterprise Integrations & Data Engineering:** Design and build integrations with enterprise platforms including Veeva Vault, Salesforce Marketing Cloud, SharePoint, Adobe Experience Cloud, Snowflake, BigQuery, and Vertex AI. Develop system connectors and data pipelines supporting reporting, analytics, and AI workflows. Design data mapping, transformation, validation, and synchronization processes. Partner with data engineering teams on ETL/ELT and analytics initiatives.
**Cloud Infrastructure, Deployment & Operations:** Develop cloud-native solutions with preference for Google Cloud Platform. Implement CI/CD pipelines and automated deployment processes. Build and maintain containerized applications using Docker and Kubernetes. Ensure application reliability through monitoring, logging, alerting, and observability. Support production troubleshooting, performance optimization, and incident resolution.
**Requirements:**
- Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
- 9+ years of experience in software engineering, solution engineering, technical consulting, platform implementation, or related engineering roles
- 5+ years designing and deploying production cloud-based AI, data, or enterprise application solutions
- Advanced programming skills in Python and at least one additional modern language (JavaScript/TypeScript, C#, Java, or .NET)
- Significant experience designing APIs, data pipelines, event-driven architectures, enterprise integrations, authentication and security frameworks, and distributed systems
- Hands-on experience with generative AI technologies including LLMs, prompt engineering, RAG, embeddings, vector databases, agent orchestration, and AI evaluations
- Experience with Git, CI/CD, automated testing, containers, and cloud-native development practices
- Strong communication, consulting, and stakeholder management skills with ability to influence
