Senior AI/ML Engineer GenAI & Cloud Solutions

Robotics Technologies LLC; Los Angeles (CA); Sur place; USD 86 000 - 123 000; Plein temps

Résumé du poste

Robotics Technologies LLC in Woodland Hills, CA seeks a Senior AI/ML Engineer GenAI & Cloud Solutions to design scalable GenAI systems on Azure, lead architecture, vector embeddings, prompt engineering, and secure data pipelines for enterprise healthcare workloads.

You will mentor teams, drive best practices, and ensure cost optimization and regulatory compliance in a distributed cloud environment.

Qualifications

• Agentic Layer & Protocols experience with multi-agent orchestration.
• AI/ML Engineering with embeddings, prompt engineering, and context engineering.
• GenAI & LLM concepts including NLP/LLMs.
• Python programming; Java/Go exposure is a plus.
• Azure Cloud proficiency including deployment, monitoring, and scaling.
• Experience with Azure AI Search, Redis, Cosmos DB; Blob Storage and Iceberg familiarity.
• Cloud-native architecture, microservices, serverless, scalability, performance optimization.
• Healthcare data handling with regulatory compliance knowledge.

Responsabilités

• Architect and design scalable, secure AI/ML systems on Azure.
• Lead end-to-end solution development for GenAI applications.
• Oversee deployment of AI/ML workloads on Azure.
• Design data pipelines using Azure storage/search services.
• Build and manage Azure Functions and Container Apps for microservices.
• Mentor teams, conduct design/code reviews and promote best practices.
• Stay ahead of GenAI trends and apply innovations to enterprise solutions.

Connaissances

Agentic Layer & Protocols

AI/ML Engineering

GenAI & LLM Concepts

Programming

Cloud Proficiency

Databases

Cloud-Native Architecture

Healthcare Domain

Outils

Azure Functions

Azure Container Apps

Redis

Cosmos DB

Blob Storage

Iceberg

Description du poste

Location:

WOODLAND HILLS, CA

Duration:

8Months+ Extension

Domain Exposure:

Work Authorization:

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.

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.