AI Engineer

Cognizant

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Work type
On-site
Location
Dallas, TX
Posted
47 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $184k
$122k $236k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $142,972–$224,237.

Based on 240 similar postings.

Employer

About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 330 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 211 roles with salary data.

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At a glance

TL;DR · AI Engineer

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The AI Engineer (IOA) joins the Intuitive Operations and Automation practice to design, build, and deploy full-stack AI applications and agentic AI solutions. The role involves developing RAG pipelines and autonomous operations across cloud platforms including AWS Bedrock, GCP Vertex AI, and Azure AI. Key responsibilities include maintaining data pipelines using Azure Data Factory, AWS Glue, Spark, Apache Airflow, and Kafka. The engineer will apply machine learning and NLG techniques using PyTorch, Scikit-learn, and R, while utilizing Azure Synapse and Databricks SQL for model training. The position requires translating client requirements into scalable solutions within an AI-powered BPO context. Necessary skills include proficiency in Python, LangChain, LangGraph, AutoGen, CrewAI, and Semantic Kernel to drive business impact through adaptive operations.

What does a AI Engineer earn?

Median $211200 from 139 postings across 39 companies.

See salary data

Skills

Python LangChain LangGraph RAG AutoGen CrewAI Semantic Kernel AWS GCP Azure AWS (Bedrock Vertex AI Azure AI Azure Data Factory AWS Glue Spark Apache Airflow Kafka PyTorch Scikit-learn R Azure Synapse Databricks SQL Azure ML AWS SageMaker NLG

What you'll do

  • Design, build, and deploy full-stack AI applications using Python, LangChain, and RAG pipelines.
  • Build and deploy agentic AI solutions on AWS, GCP, or Azure cloud platforms.
  • Develop and maintain data pipelines using Azure Data Factory, Spark, Airflow, and Kafka.
  • Apply machine learning and NLG techniques using PyTorch and Scikit-learn to deploy models.
  • Manage large-scale data platforms including Azure Synapse and Databricks SQL for model training.
  • Translate client requirements into scalable AI and machine learning solutions.

What we're looking for

  • A bachelor's or master's degree in computer science, data science, artificial intelligence, or a related discipline.
  • Good problem-solving, analytical, and communication skills to articulate technical concepts to various stakeholders.
  • Hands-on experience with at least one cloud AI platform such as AWS, GCP, or Azure.
  • Proficiency in Python.
  • Experience with LangChain, LangGraph, or similar agentic frameworks (preferred).
  • Experience with data engineering tools (Spark, Airflow, Kafka) and/or ML frameworks (PyTorch, Scikit-learn) (preferred).
  • Ability to work across cloud and on-prem environments.
  • Work Authorization.

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