AI Engineer – Agentic AI & Cloud-Native Solutions

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

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan

Job summary

Cognizant is seeking a highly skilled Business & Data Analyst to join our IOA practice. You will design, build, and deploy AI-powered applications across cloud platforms, collaborating with analysts and consultants to translate client needs into scalable AI/ML solutions.

Ideal candidates have a strong background in Python, LangChain/LangGraph, data pipelines, and ML frameworks, with experience on AWS, Azure, or GCP. This role requires relocation to Dallas, TX and willingness to work onsite.

Qualifications

• Bachelor's or master's in CS, data science, AI or related.
• Strong problem-solving, analytical and communication skills.
• Hands-on experience with at least one cloud AI platform (AWS, GCP or Azure).

Responsibilities

• Design, build, and deploy full-stack AI applications.
• Build and deploy agentic AI solutions across cloud platforms (AWS, GCP, Azure).
• Develop and maintain data pipelines (Azure Data Factory, AWS Glue, Spark, Airflow, Kafka).
• Apply ML and NLG techniques using PyTorch, Scikit-learn; deploy models via Azure ML, AWS SageMaker, or Google Vertex AI.
• Work with large-scale data platforms (Azure Synapse, Databricks SQL) for model training and analytics.
• 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 programming

LangChain / LangGraph

Data pipelines

ML concepts

Communication

Education

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

Tools

LangChain

LangGraph

AWS

GCP Vertex AI

Azure ML

PyTorch

Scikit-learn

Spark

Airflow

Job description

Cognizant is seeking a highly skilled Business & Data Analyst to join our IOA practice. You will design, build, and deploy AI-powered applications across cloud platforms, collaborating with analysts and consultants to translate client needs into scalable AI/ML solutions.

Ideal candidates have a strong background in Python, LangChain/LangGraph, data pipelines, and ML frameworks, with experience on AWS, Azure, or GCP. This role requires relocation to Dallas, TX and willingness to work onsite.