Job Title: Senior AI/ML Engineer
Location: Columbus, OH, Chicago, IL, Minneapolis, MN, Detroit, MI, St. Louis, MO, Philadelphia, PA, Wilmington, DE.
Long Term Contact
Looking for W2 candidates. No C2C
Job Summary:
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.
Key Responsibilities:
- 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.
Required Skills:
- 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
Best Regards:
Bindu M
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