Azure AI Engineer: Agentic AI & LLM Orchestration

Tata Consultancy Services; Bellevue (WA); On-site; USD 64,000 - 98,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage:Medical

Parental Leaves

401K Plan

Certification & Training Reimbursement

Vacation, Time Off, Sick Leave & HOLID

Job summary

Tata Consultancy Services in Bellevue, WA is seeking a senior AI engineer to architect and implement large-scale agentic AI solutions for sentiment intelligence and to build cloud-scale Azure services focused on reliability and performance.

You will develop LLM orchestration frameworks, prompt pipelines, and agent workflows while collaborating with product, research, and data engineering teams to deliver AI-powered capabilities and ensure security, compliance, and responsible AI adoption.

Qualifications

• Experience architecting large-scale AI solutions for sentiment intelligence.
• Experience building cloud-scale Azure services focusing on reliability and performance.
• Developing LLM orchestration frameworks, prompt pipelines, and agent workflows.

Responsibilities

• Architect, design, and implement large-scale agentic AI solutions for sentiment intelligence.
• Build and optimize cloud-scale Azure services for reliability, performance, and scalability.
• Develop LLM orchestration frameworks, prompt pipelines, and agent workflows.
• Collaborate with product, research, applied science, and data engineering teams to deliver AI-powered capabilities.
• Drive AI technical strategy, engineering excellence, experimentation, and innovation.
• Ensure security, compliance, operational excellence, and responsible AI adoption.

Skills

Agentic AI frameworks

LLM orchestration

Prompt engineering

AI agents

Azure cloud-native development

Microservices

Python

C#

NLP solutions

Azure OpenAI

Tools

Azure OpenAI

Azure AI Foundry

Job description

Tata Consultancy Services in Bellevue, WA is seeking a senior AI engineer to architect and implement large-scale agentic AI solutions for sentiment intelligence and to build cloud-scale Azure services focused on reliability and performance.

You will develop LLM orchestration frameworks, prompt pipelines, and agent workflows while collaborating with product, research, and data engineering teams to deliver AI-powered capabilities and ensure security, compliance, and responsible AI adoption.