AI ML Engineer 430364

Siri InfoSolutions Inc; Santa Clara (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Siri InfoSolutions Inc in Santa Clara, CA, seeks a Senior AI Engineer / AI Solutions Architect to design and deploy scalable, cloud-native AI solutions using Azure and Generative AI technologies.

You will lead end-to-end AI projects, build LLM orchestration frameworks and autonomous workflows, optimize Azure cloud-native microservices, and collaborate with product, research, and engineering teams to deliver secure, compliant AI-powered solutions.

Qualifications

• Extensive experience with Agentic AI, LLM orchestration, and AI agents.
• Hands-on experience with Azure AI services and cloud-native architectures.
• Proficiency in Python and C# for AI/ML deployments.
• Experience deploying AI/ML systems, embeddings, NLP, and sentiment analysis.

Responsibilities

• Design and implement enterprise-scale Agentic AI and sentiment intelligence solutions.
• Develop LLM orchestration frameworks, AI agents, prompt pipelines, and autonomous workflows.
• Build and optimize Azure cloud-native microservices for scalability and performance.
• Collaborate with product, research, and engineering teams to deliver AI-powered solutions.
• Drive AI innovation, technical strategy, and ensure responsible AI, security, and compliance.

Skills

Agentic AI

LLM orchestration

Prompt Engineering

AI Agents

Azure AI Foundry

Azure OpenAI

Azure Cloud

Python

C#

AI/ML systems

embeddings

NLP

Sentiment analysis

Microservices

Cloud-native development

AI evaluation frameworks

Job description

Job Title: Senior AI Engineer

Santa Clara, CA

Job Summary

We are seeking an experienced Senior AI Engineer / AI Solutions Architect to design and build scalable, cloud-native AI solutions using Azure and Generative AI technologies. The ideal candidate will have expertise in Agentic AI, LLM orchestration, Azure AI services, and AI/ML deployment.

Key Responsibilities

• Design and implement enterprise-scale Agentic AI and sentiment intelligence solutions.
• Develop LLM orchestration frameworks, AI agents, prompt pipelines, and autonomous workflows.
• Build and optimize Azure cloud-native microservices for scalability and performance.
• Collaborate with product, research, and engineering teams to deliver AI-powered solutions.
• Drive AI innovation, technical strategy, and ensure responsible AI, security, and compliance.

Required Skills

• Strong experience with Agentic AI, LLM orchestration, Prompt Engineering, and AI Agents.
• Hands‑on expertise in Azure AI Foundry, Azure OpenAI, Azure Cloud, Python, and C#.
• Experience with AI/ML systems, embeddings, NLP, sentiment analysis, and production deployment.
• Knowledge of microservices architecture, cloud-native development, and AI evaluation frameworks.