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AI/ML Architect C2C Woodland hills, CA
Job in
Los Angeles, Los Angeles County, California, 90079, USA
Listed on 2026-07-07
Listing for:
Tech Mirrors
Contract
position Listed on 2026-07-07
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Software Architect, Machine Learning/ ML Engineer, Cloud Engineer - Software
Job Description & How to Apply Below
AI/ML Architect
Location:
Woodland Hills, CA (Onsite)
Duration: 12 Months
Senior AI/ML Architect with hands on coding/development experience - GenAI & Cloud
Roles and 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.
- Ability to design and implement multi-agent AI systems.
- Experience in LLM fine-tuning, embeddings, and context engineering.
- Expertise in coding proficiency with production-grade systems in Python.
- Ability to define enterprise-level AI/ML architecture aligned with cloud-native principles.
- Experience in scalability, resilience, and performance optimization.
- Hands-on deployment of AI workloads on Azure Cloud.
- Strong knowledge of databases, search systems, and distributed storage.
- Familiarity with healthcare regulations and ability to design compliant solutions.
- Experience mentoring engineers, conducting reviews, and driving technical excellence.
- Ability to collaborate with cross-functional teams including product, compliance, and operations.
- Evidence of staying current with GenAI advancements and applying them to real-world problems.
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