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Azure AI Engineer

TATA Consultancy Services LimitedBellevue, WA🇺🇸United StatesPosted 4 Sept 2026

Why This Role Stands Out

Advance your career as an Azure AI Engineer at TATA Consultancy Services, where you'll architect and implement cutting-edge agentic AI solutions, gaining valuable experience with LLM orchestration and Azure cloud-native development. This hybrid role offers excellent growth potential in a reputable company, perfect for experienced professionals passionate about AI innovation. You'll have the opportunity to shape AI technical strategy and deliver impactful AI-powered capabilities, with a competitive salary of ~$98K.

Quick Overview

Salary
$98k/yr
Seniority
Mid Senior
Work mode
Hybrid
Location
Bellevue, WA, United States
Posted
19 hours ago
MicroservicesMachine LearningNLPAzureC#Generative AILLMPython

Job Description

Work Location (State, City and Zip)Bellevue, USA
Base salary range (Min. & Max. to be mentioned)~$98K
Experience Range:5 Years
 
Must Have Technical/Functional Skills
Agentic AI Frameworks & Autonomous Workflow Design;  LLM Orchestration;  Prompt Engineering & AI Agents;  Azure Cloud-Native Development & Microservices;  Python;  C#;  Embeddings & AI Evaluation Frameworks;  AI/ML Systems Development & Production Deployment
Roles & 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.
Generic Managerial Skills, If any
Sentiment Analysis & NLP Solutions; Azure AI Foundry;  Azure OpenAI
Key Words to search in Resume
Agentic AI;  Generative AI;  LLMs;  AI Agents;  Azure;  Prompt Engineering;  Autonomous Workflows;  Multi-Agent Systems;  Vector Search;  Machine Learning;  Responsible AI;  Microservices;  AI Orchestration

 

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