AI Engineer — Agentic AI & Cloud Pipelines

Cognizant; Madison (WI); On-site; USD 65,000 - 70,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays + PTO

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Business & Data Analyst to join our IOA practice to design and deploy AI applications, build data pipelines, and translate client requirements into scalable AI/ML solutions.

The role emphasizes cloud experience (AWS/GCP/Azure), Python proficiency, and collaboration with analysts and consultants to drive AI-enabled outcomes. Start dates span Oct/Nov 2026 or Jan/Feb 2027, with performance-based incentives.

Qualifications

• 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, with the ability to articulate technical concepts to both technical and non-technical stakeholders
• Hands-on experience with at least one cloud AI platform (AWS, GCP, or Azure).
• Proficiency in Python; experience with LangChain, LangGraph, or similar agentic frameworks strongly preferred.
• Experience with data engineering tools (Spark, Airflow, Kafka) and/or ML frameworks (PyTorch, Scikit-learn) is a plus.
• Strong problem-solving skills and ability to work across cloud and on-prem environments.
• Comfortable working in a fast-moving, evolving AI landscape.

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 (Bedrock, AgentCore), GCP Vertex AI, and Azure AI + Copilot Studio.
• Develop and maintain data pipelines using Azure Data Factory, AWS Glue, Spark, Apache Airflow, and Kafka.
• Apply machine learning 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

Cloud platforms

Data pipelines

ML deployment

NLG

Communication

Problem solving

Education

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

Tools

LangChain

LangGraph

Azure Data Factory

AWS Glue

Spark

Airflow

Kafka

PyTorch

Scikit-learn

Azure ML

SageMaker

Vertex AI

Job description

Cognizant is seeking a Business & Data Analyst to join our IOA practice to design and deploy AI applications, build data pipelines, and translate client requirements into scalable AI/ML solutions.

The role emphasizes cloud experience (AWS/GCP/Azure), Python proficiency, and collaboration with analysts and consultants to drive AI-enabled outcomes. Start dates span Oct/Nov 2026 or Jan/Feb 2027, with performance-based incentives.