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

TechniPros, LLC
Minneapolis, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 135K

Job location

Minneapolis, United States of America

Tech stack

Artificial Intelligence
Apache HTTP Server
Azure
Cloud Engineering
Cloud Storage
Data Architecture
Python
Language Modeling
Performance Tuning
Redis
Azure
Search Technologies
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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