Senior AI/ML Engineer

Cloud Analytics Technologies, LLC; Woodland (CA); In loco; USD 180.000 - 240.000; Tempo pieno

Descrizione del lavoro

Cloud Analytics Technologies, LLC is seeking a senior AI/ML architect to design scalable GenAI systems on Azure. You will lead data pipelines, deployment, and microservices development while ensuring regulatory compliance and cost efficiency.

The role requires hands-on expertise with agentic frameworks, LLMs, and cloud-native patterns, plus leadership to mentor engineering teams.

Competenze

• Hands-on expertise with Agentic Layer A2A frameworks and MCP Protocol for multi-agent orchestration.
• Strong background in vector embeddings, prompt engineering, context engineering, and fine-tuning LLMs.
• Deep understanding of Generative AI, NLP models and large language models.
• Advanced Python; Java/Go exposure is a plus.
• Proficiency with Azure Cloud services: deployment, monitoring and scaling.
• Experience with Azure AI Search, Redis and Cosmos DB; Blob Storage and Iceberg familiarity is advantageous.
• Cloud-native architecture: microservices, containers, serverless, scalability, performance.
• Healthcare domain experience with regulated data and compliance frameworks.

Mansioni

• Architect and design scalable, secure AI/ML systems for GenAI apps.
• Lead end-to-end solution development including embeddings and context engineering.
• Oversee deployment of AI workloads on Azure, ensuring cost and compliance.
• Design data pipelines using Azure services and Iceberg for storage.
• Develop Azure Functions and Container Apps for microservices.
• Define architectures for performance and resilience in distributed systems.
• Mentor teams, establish best practices, and conduct reviews.
• Stay ahead of GenAI trends and integrate new approaches.

Conoscenze

Agentic Layer Protocols

AI/ML Engineering

GenAI & LLM Concepts

Python

Azure Cloud

Azure AI Search

Database Design

Cloud-Native Architecture

Healthcare Compliance

Strumenti

Azure Functions

Azure Container Apps

Cosmos DB

Redis

Blob Storage

Iceberg

Descrizione del lavoro

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: USC, GC, H-1B, OPT-EAD, GC-EAD, H4-EAD

Job Summary

• 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.

Required Skills & Expertise:

• Agentic Layer & Protocols: Hands-on expertise with Agentic Layer A2A frameworks and MCP Protocol for multi-agent orchestration.
• AI/ML Engineering: Strong background in vector embeddings, prompt engineering, context engineering, and fine-tuning LLMs.
• GenAI & LLM Concepts: Deep understanding of Generative AI, Natural Language Models (NLM), and Large Language Models (LLM).
• Programming: Advanced proficiency in Python; exposure to Java/Go is a plus.
• Cloud Proficiency: Strong experience with Azure Cloud services, including deployment, monitoring, and scaling.
• Databases: Expertise in Azure AI Search, Redis, Cosmos DB; familiarity with Blob Storage and Iceberg is advantageous.
• Cloud-Native Architecture: Solid grasp of microservices, containerization, serverless computing, scalability, and performance optimization.
• Healthcare Domain: Experience working with regulated data environments and compliance frameworks

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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