AI ML Engineer - Minneapolis,MN,Detroit,MI,St.Louis,MO,Philadelphia,PA,Wilmington,DE,Columbus,OH,Chicago,IL

TechniPros, LLC

Minneapolis, MN, United States

29 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

$135,200.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Artificial Intelligence Apache HTTP Server Microsoft Azure Cloud Engineering Cloud Storage Data Architecture Python (Programming Language) Language Modeling Performance Tuning Redis Azure Machine Learning Search Technologies

+9 more

Large Language Models Prompt Engineering Generative AI Containerization Cosmos DB Virtual Agents Artificial Intelligence Markup Language (AIML) Serverless Computing Microservices

Job description

We are seeking a highly experienced Senior AI/ML Engineer to architect and develop enterprise-scale Generative AI solutions on Azure Cloud. The ideal candidate should possess deep expertise in Agentic AI, MCP Protocol, Azure AI Services, LLMs, cloud-native architecture, and healthcare domain solutions., * Design AI solutions using Agentic Layer A2A frameworks and MCP Protocol.

Build enterprise GenAI applications leveraging vector embeddings, prompt engineering, and context engineering.
Deploy and optimize AI workloads on Microsoft Azure Cloud.
Design AI data architectures using Azure AI Search, Redis, Cosmos DB, Blob Storage, and Apache Iceberg.
Develop Azure Functions and Azure Container Apps for AI microservices.
Optimize cloud-native architectures for scalability, resilience, and performance.
Ensure compliance with healthcare regulations including HIPAA and GDPR.
Mentor engineering teams and perform architecture/design reviews.
Evaluate emerging AI technologies and integrate modern GenAI capabilities into enterprise solutions.

Requirements

Agentic AI Frameworks (A2A)
MCP Protocol
Generative AI
Large Language Models (LLMs)
Natural Language Models (NLMs)
Prompt Engineering
Context Engineering
Vector Embeddings
Fine-tuning LLMs
Python
Azure Cloud
Azure AI Search
Redis
Azure Cosmos DB
Azure Blob Storage
Apache Iceberg
Azure Functions
Azure Container Apps
Microservices
Containerization
Serverless Computing
Cloud Architecture
Performance Optimization

Mandatory Skills:

Azure AI
Azure Cloud
Agentic AI
MCP Protocol
LLM
GenAI
Python
Azure AI Search
Cosmos DB
Redis
Azure Functions
Azure Container Apps
Prompt Engineering
Vector Embeddings
Microservices
Cloud Architecture

Benefits & conditions

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