Agentic AI Engineer — Full-Stack & Cloud

Cognizant; Carson City (NV); On-site; USD 60,000 - 75,000; Full time

Benefits offered by this job

Health insurance

Paid time off

401(k) plan

Stock purchase plan

Parental leave

Job summary

Cognizant is seeking a Business & Data Analyst to join the IOA practice in Dallas, TX. The role focuses on designing and deploying AI applications, building data pipelines, and applying ML/NLG techniques across AWS, GCP, and Azure.

You will collaborate with business analysts and consultants to translate client requirements into scalable AI/ML solutions, stay current with AI frameworks, and contribute to automation initiatives. Relocation may be required to major hubs.

Qualifications

• Bachelor's or Master's in CS, data science, AI, or a related field.
• Strong problem-solving and communication skills.
• Hands-on cloud AI platform experience (AWS, GCP, or Azure).
• Proficiency in Python; LangChain/LangGraph a plus.

Responsibilities

• Design, build, and deploy full-stack AI applications.
• Deploy agentic AI solutions on AWS, GCP, and Azure.
• Develop data pipelines with Azure Data Factory, AWS Glue, Spark, Airflow, and Kafka.
• Apply ML and NLG techniques and deploy models via cloud services.
• Work with large-scale data platforms like Azure Synapse and Databricks SQL.
• Collaborate with business analysts to translate client requirements into scalable AI/ML solutions.
• Stay current with evolving AI frameworks and cloud-native tools.

Skills

Python

LangChain

LangGraph

RAG pipelines

Education

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

Tools

AWS

GCP

Azure

Job description

Cognizant is seeking a Business & Data Analyst to join the IOA practice in Dallas, TX. The role focuses on designing and deploying AI applications, building data pipelines, and applying ML/NLG techniques across AWS, GCP, and Azure.

You will collaborate with business analysts and consultants to translate client requirements into scalable AI/ML solutions, stay current with AI frameworks, and contribute to automation initiatives. Relocation may be required to major hubs.