Cloud-Native AI Engineer: Build Scalable AI Apps

Cognizant; Dallas (TX); On-site; USD 59,000 - 72,000; Full time

Benefits offered by this job

Medical Insurance

Paid holidays and PTO

401(k) plan

Disability insurance

Parental leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a highly skilled Business & Data Analyst to join the IOA practice in Dallas, TX. You will design and deploy AI/ML solutions, build data pipelines, and collaborate with stakeholders to translate requirements into scalable AI applications.

The role requires experience with Python, LangChain/LangGraph, and cloud platforms (AWS, GCP, Azure). Start dates in Oct/Nov 2026 or Jan/Feb 2027 are expected, with relocation to Dallas as needed.

Qualifications

• Bachelor's or master's in CS, data science, AI, or a related field.

Responsibilities

• Design, build, and deploy full-stack AI applications using Python, LangChain, LangGraph, RAG pipelines, AutoGen, CrewAI, and Semantic Kernel.
• Build and deploy agentic AI solutions across cloud platforms, including AWS, GCP, and Azure.
• Develop and maintain data pipelines using Azure Data Factory, AWS Glue, Spark, Airflow, and Kafka.
• Apply ML and NLG techniques using PyTorch, Scikit-learn, and R, deploying models via Azure ML, AWS SageMaker, or Google Vertex AI.
• Work with large-scale data platforms including Azure Synapse and Databricks SQL to support model training and analytics.
• Collaborate with business analysts and consultants to translate client requirements into scalable AI/ML solutions.
• Stay current with evolving AI frameworks, cloud-native tools, and agentic AI architectures.

Skills

Python proficiency

Analytical thinking

Communication skills

Cloud experience

Education

Bachelor's or Master's in CS/Data Science/AI

Tools

Python

LangChain

LangGraph

Azure Data Factory

Airflow

Spark

Kafka

Databricks

Job description

Cognizant is seeking a highly skilled Business & Data Analyst to join the IOA practice in Dallas, TX. You will design and deploy AI/ML solutions, build data pipelines, and collaborate with stakeholders to translate requirements into scalable AI applications.

The role requires experience with Python, LangChain/LangGraph, and cloud platforms (AWS, GCP, Azure). Start dates in Oct/Nov 2026 or Jan/Feb 2027 are expected, with relocation to Dallas as needed.