AI Engineer Job ID 2026-1940

WebMD•Newark, NJ

2d•Hybrid

About The Position

WebMD is seeking an AI Automation Analyst to join its team and drive the adoption of AI-powered automation across Medscape Education. This role is a hybrid between an analyst and an engineer, focusing on prototyping, tool implementation, and process optimization. The ideal candidate will have hands-on experience in using AI to solve business challenges and a strong ability to understand and translate business needs into technical solutions. This individual will be responsible for assisting with project requirement documents and supporting tasks that existing teams have struggled to staff, such as the development of a conference planning tool.

Requirements

Up to 3 years of experience in a technical or analyst role, with a focus on prototyping, process automation, or tool implementation.
Hands-on experience with AI/ML concepts and technologies, including GenAI, LLMs, and RAG architectures.
Proficiency in prompt engineering and context engineering.
Experience with no-code/low-code automation tools (e.g., n8n, Dify, cursor) and scripting/programming languages (e.g., Python, SQL) for building prototypes and utility scripts.
Familiarity with project management and development tools (e.g., YouTrack, GitLab).
A strong ability to bridge the gap between business and technical teams, with a knack for understanding business challenges and seeing how AI can solve them.
A pragmatic, hands-on, and outcome-driven mindset, with a passion for building and experimenting.
Excellent communication and stakeholder management skills.
A collaborative spirit and the ability to work effectively in a team environment.

Responsibilities

Create hands-on prototypes and utility tools using open-source LLMs/GenAI technologies to demonstrate technical feasibility and accelerate the adoption of new AI capabilities.
Evaluate, implement, and support no-code/low-code AI and automation platforms to streamline internal workflows.
Assist in the creation of project requirement documents by translating business needs into technical specifications and user stories.
Analyze existing business processes to identify opportunities for AI-driven automation and efficiency gains.
Support the implementation of AI-first process workflows across internal teams (e.g., Content, Operations) to maximize operational efficiency and quality.
Act as a key resource for internal teams, providing support and training on new AI tools and automated workflows.
Develop and maintain clear documentation for prototypes, tools, and automated processes.