Solution Architect with GenAI & ML background in
Azure - 100% Remote
These are long term roles > 6 months.
EST hrs
Fully Remote
JD
Knowledge of Azure GENAI services – AI Search , AI doc intelligence , Azure functions , Logic apps, GitHub code deployment .
Knowledge of Langchain , related tech , python
Background in data , or machine learning
Able to have proven work on document chunking , chatbots querying routing , entity extraction , document comparison , sentiment analysis . Ability to do bulk documents for main projects and avoid profiles with POCs only.
Knowledge of DEVOPS – terraforms ( good to have)
Domain knowledge in Legal , Procurement , Finance good to have.
WORK LOCATION & SCHEDULE: The selected candidate will work 100% While this person may work remotely from home anywhere in the USA, they will work on an East Coast schedule (Core Working Hours 9:00am-5:00pm Eastern).
Scope:Individual contributor that works under limited supervision. Apply subject matter knowledge. Capacity to understand specific needs or requirements to apply skills/knowledge.
Qualified candidates must beauthorizedto work in the United States.
WHAT YOU NEED TO SUCCEED (required/minimum qualifications):
Bachelor’s Degree Computer Science/equivalent area of study or equivalent professional experience required.
6+ years professional experience in Data Science with ML and min 2 years GenAI
Minimum of 6+ years’ experience using MS Azure, Amazon Web Services (AWS) or GCP
Demonstrated ability to design, implement, and evaluate conversational system solutions: conversational flows, intents, and entities.
WHAT WILL GIVE YOU A COMPETITIVE EDGE (preferred qualifications):
Experience evaluating and designing ML & GenAI Solutions
Experience using Bot Framework SDK, Bot Framework Composer or Power Virtual Agents (PVA)
Experience with Azure and Azure Data Services
Experience with Azure Cognitive Services, Azure AI Services, Azure Bot Service (ABS)
Deep Software engineering experience with Python
Experience with CI/CD pipelines like Jenkins or Azure DevOps
