What are the responsibilities and job description for the AI/ML Engineer position at UnivEdge Consulting LLC?
We need Senior / Lead / Architect level resource with minimum 15 years of genuine experience.
Role: Senior AI/ML Engineer – GenAI & Cloud Solutions
Key Responsibilities:
- Architect and Design: Lead the design of scalable, secure, and high-performance AI/ML systems leveraging Agentic Layer A2A frameworks and MCP Protocols.
- Solution Engineering: Drive end-to-end solution development including vector embeddings, prompt engineering, and context engineering for enterprise-grade GenAI applications.
- Cloud Deployment: Architect and oversee deployment of AI/ML workloads on Azure Cloud, ensuring compliance, scalability, and cost optimization.
- Data Architecture: Design and optimize data pipelines and storage solutions using Azure AI Search, Redis, Cosmos DB, Blob Storage, and Iceberg.
- Application Development: Build and manage Azure Functions and Azure Container Apps for microservices-based AI solutions.
- Performance & Scalability: Define cloud-native architecture patterns, implement performance tuning, and ensure resilience across distributed systems.
- Domain Expertise: Apply deep knowledge of healthcare domain requirements, ensuring solutions meet regulatory standards (HIPAA, GDPR, etc.) and handle sensitive data securely.
- Technical Leadership: Mentor engineering teams, establish best practices, and conduct design/code reviews.
- Innovation & Research: Stay ahead of emerging GenAI, LLM/NLM trends, and integrate cutting-edge approaches into enterprise solutions.
Salary : $60 - $70