Senior AI & Data Engineer: Generative AI & Data Pipelines

Dassault Systèmes; New York (NY); Hybrid; USD 103,000 - 137,000; Full time

Job summary

Medidata seeks a Senior AI & Data Engineer – Study Experience to design, build, and operate production-grade AI and data solutions enabling intelligent applications and automation. You will implement AI-enabled services, connect enterprise data to LLM-powered workflows, and develop scalable data pipelines using modern cloud technologies.

The role emphasizes Generative AI, agentic workflows, and collaboration across engineering, product, QA, PMO, and platform teams in a hybrid NYC setting with

Qualifications

• 5+ years of professional experience in software engineering, AI engineering, data engineering, or a related technical discipline.
• Strong hands-on experience developing production applications and services using Python.
• Practical experience building or integrating Generative AI applications, LLM workflows, agentic systems, or AI-enabled services.
• Good understanding of RAG, embeddings, vector search, retrieval, grounding, and LLM orchestration concepts.
• Experience with at least one AI orchestration framework or emerging protocol such as LangGraph, LangChain, MCP, or equivalent technologies.

Responsibilities

• Design and build production Generative AI applications, AI agents, and LLM-powered workflows for enterprise use cases.
• Develop AI services and backend capabilities using Python, APIs, and cloud-native engineering patterns.
• Build RAG and retrieval workflows that securely connect enterprise data and applications to AI solutions.
• Implement agentic workflows involving tool calling, structured outputs, retrieval, workflow execution, and external system integrations.
• Work with AI orchestration frameworks and emerging standards such as LangGraph, LangChain, MCP, or similar technologies.
• Implement testing, evaluation, guardrails, monitoring, and observability to improve the quality and reliability of production AI solutions.
• Design and maintain scalable data pipelines and ETL/ELT workflows that support AI, analytics, and operational applications.
• Build data solutions using AWS, Snowflake, Python, SQL, and modern data engineering technologies.
• Develop and integrate APIs and backend services, including Java-based applications where needed.
• Apply strong software engineering practices including automated testing, CI/CD, Git, security, documentation, and production support.
• Use AI-assisted development tools and coding agents as part of day-to-day design, coding, testing, debugging, and code review.
• Collaborate with engineers, architects, product teams, and business stakeholders on technical designs and production solutions.
• Mentor engineers through technical guidance, code reviews, and knowledge sharing.

Skills

Python programming

AI engineering

LLM workflows

Data engineering

CI/CD practices

Problem solving

Tools

AWS

Snowflake

LangGraph

LangChain

Airflow

Kubernetes

Docker

Terraform

Job description

Medidata seeks a Senior AI & Data Engineer – Study Experience to design, build, and operate production-grade AI and data solutions enabling intelligent applications and automation. You will implement AI-enabled services, connect enterprise data to LLM-powered workflows, and develop scalable data pipelines using modern cloud technologies.

The role emphasizes Generative AI, agentic workflows, and collaboration across engineering, product, QA, PMO, and platform teams in a hybrid NYC setting with