Lead AI Engineer with Recent Healthcare Client Experience

Remote • Posted 16 hours ago • Updated 16 hours ago
Contract W2
Contract Independent
No Travel Required
Remote
$60 - $70/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Generative Artificial Intelligence (AI)
  • Cloud Computing
  • Google Cloud Platform
  • Microsoft Azure
  • Microsoft Certified Professional
  • Good Clinical Practice
  • Health Care
  • Customer Experience
  • Data Analysis
  • Machine Learning (ML)
  • Communication
  • Offshoring
  • Management
  • ATLAS
  • Artificial Intelligence
  • Python
  • Forecasting
  • Leadership
  • Mentorship
  • MongoDB
  • Supervision
  • Vector Databases
  • Video
  • API

Summary

TITLE- Lead AI Engineer with Recent Healthcare Client Experience

LOCATION- REMOTE 

DURATION- 6 MONTHS  

INTERVIEW-  VIDEO

 

We''re needing a Lead AI Engineer who has experience with architecture and design, working w/ multiple engineering teams to design solutions to develop frameworks across a portfolio.

 

Cloud: Google Cloud Platform, Azure

AI:  Must know how to build custom models, how to implement and define those models.  Building data pipelines, etc.  Heavy Data Analytics background (python).

GenAI:  AgenticAI

 

Must have a Healthcare background. 

Must have Lead experience mentoring other team members and include on resume how many team members they lead in each project - also include if offshore and offshore

 Required Qualifications:

·  Proven expertise in AI technologies and frameworks.

·  Extensive experience in full stack Python development (frontend, backend, API).

·  Demonstrated success in designing and deploying GenAI applications using RAG architecture in production and hands-on experience building document ingestion pipelines with vector databases (MongoDB Atlas preferred).

·  Strong leadership skills with experience managing development tasks and coordinating teams.

·  Excellent verbal and written communication skills.

·  Ability to lead projects independently with minimal supervision.

·  Solid background in data analytics, prediction, and forecasting using AI/ML models.

·  Experience deploying AI applications to cloud platforms (Azure, Google Cloud Platform).

·  Familiarity with AgenticAI and MCP technologies.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91093714
  • Position Id: 8913963
  • Posted 16 hours ago
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