Azure AI Engineer: RAG Pipelines & LLM Orchestration

Cognizant; Washington (District of Columbia); On-site; USD 110,000 - 135,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Paid Holidays

401(k) plan

Employee Stock Purchase Plan

Job summary

Cognizant in Washington, DC seeks a hands-on AI engineer to build and run production-grade generative AI solutions on Microsoft Azure. You will own RAG pipelines, embeddings, vector search, and API orchestration to deliver scalable AI applications.

You will work with LangChain, LangGraph, Semantic Kernel, Azure OpenAI, and be responsible for observability, cost-aware tuning, CI/CD, containerization, and building web services with Python, Node.js, and React.

Qualifications

• Hands-on Python for backend services and automation.
• Hands-on experience with LangChain and/or LangGraph.
• Experience with RAG, embeddings, and vector search.
• Hands-on experience with Azure OpenAI and Azure AI Search.
• Proficiency with REST APIs, JSON, and Git.

Responsibilities

• Design and implement end-to-end RAG pipelines: data ingestion, embedding generation, vector database management, and retrieval optimization
• Develop and maintain APIs to orchestrate RAG workflows, including retrieval, prompt handling, and model interaction
• Build orchestration and multi-step reasoning workflows using Semantic Kernel, LangChain, or LangGraph, including tool use and memory
• Integrate LLMs such as Azure OpenAI, and tune prompts for accuracy, performance, and cost
• Implement observability, monitoring, and evaluation using LangSmith and Azure monitoring tools to track output quality, latency, and hallucination rates
• Troubleshoot and improve retrieval quality, grounding accuracy, and response relevance
• Deploy and manage AI services on Azure using CI/CD pipelines and containerization
• Build and maintain scalable web applications using Python, Node.js, and React
• Apply responsible AI practices, including guardrails, security controls, and compliance standards

Skills

Python

LangChain

LangGraph

RAG

Embeddings

Vector search

Azure OpenAI

Azure AI Search

REST APIs

JSON

Git

CI/CD

Containerization

Node.js

React

Tools

Semantic Kernel

LangChain

LangGraph

Azure Container Apps

AKS

Job description

Cognizant in Washington, DC seeks a hands-on AI engineer to build and run production-grade generative AI solutions on Microsoft Azure. You will own RAG pipelines, embeddings, vector search, and API orchestration to deliver scalable AI applications.

You will work with LangChain, LangGraph, Semantic Kernel, Azure OpenAI, and be responsible for observability, cost-aware tuning, CI/CD, containerization, and building web services with Python, Node.js, and React.