Senior AI/ML Engineer GenAI & Cloud Solutions

Cloud Analytics Technologies, LLC; Woodland (CA); On-site; USD 86,000 - 123,000; Full time

Job summary

Cloud Analytics Technologies, LLC in Woodland Hills, CA seeks a Senior AI/ML Engineer GenAI & Cloud Solutions to architect scalable GenAI platforms on Azure, with a focus on healthcare data security and regulatory compliance.

Lead end-to-end solution development, build data pipelines, deploy AI workloads, and mentor teams while staying ahead of GenAI trends and optimizing performance and cost.

Qualifications

• 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, Natural Language Models (NLM), and Large Language Models (LLM).
• Advanced proficiency in Python; exposure to Java/Go is a plus.
• Strong experience with Azure Cloud services, including deployment, monitoring, and scaling.
• Expertise in Azure AI Search, Redis, Cosmos DB; familiarity with Blob Storage and Iceberg is advantageous.
• Solid grasp of microservices, containerization, serverless computing, scalability, and performance optimization.
• Experience working with regulated data environments and healthcare compliance.

Responsibilities

• Architect scalable, secure AI/ML systems using Agentic Layer A2A and MCP Protocols.
• Drive end-to-end GenAI solution development including embeddings, prompts, and context engineering.
• Oversee deployment of AI/ML workloads on Azure with cost optimization.
• Design data pipelines using Azure AI Search, Redis, Cosmos DB, Blob Storage, and Iceberg.
• Develop Azure Functions and Azure Container Apps for microservices-based AI solutions.
• Define cloud-native patterns, implement performance tuning, ensure resilience.
• Apply healthcare regulatory knowledge (HIPAA, GDPR) to secure data.
• Mentor teams, establish best practices, and conduct design/code reviews.
• Stay ahead of GenAI/LLM trends and integrate new approaches.

Skills

Agentic Layer & Protocols

AI/ML Engineering

GenAI & LLM Concepts

Python

Azure Cloud

Azure AI Search

Redis

Cosmos DB

Cloud-Native Architecture

Healthcare Domain

Job description

Location:

WOODLAND HILLS, CA

Duration:

8Months+ Extension

Domain Exposure:

Client:

To Be Discussed Later

Employment Type:

W-2, 1099, C2C

Work Authorization:

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

Job Title: Senior AI/ML Engineer GenAI & Cloud Solutions

Location: Woodland hills, CA

Duration: 8 Months + Extension

Bill Rate: $76/hour(C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

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

Job Description:

• 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.

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.

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.

Some of our Business Ventures - Knowledge Analytics

Do restrictive necessities, your capability for advanced analytics or your business model need custom-made applications and infrastructure configurations? opt for our hosted managed services to urge comprehensive analytics solutions supported industry-leading Cloud Analytics Technologies, LLC code - delivered by the Cloud Analytics Technologies, LLC consultants UN agency understand these solutions best. Through a mix of with-it technology and dedicated service and support, Cloud Analytics Technologies, LLC hosted managed services will facilitate you: