Agentic AI Engineer: Full-Stack ML & Data Pipelines

Cognizant Technology Solutions Corporation; Cheyenne (WY); On-site; USD 55,000 - 75,000; Full time

Benefits offered by this job

Insurance

Paid time off

401(k)

Disability

Parental leave

Employee stock plan

Job summary

Cognizant is seeking a highly skilled Business & Data Analyst to join the IOA practice, focusing on AI-powered automation. You will design, build, and deploy full-stack AI solutions, translate client needs into scalable ML workflows, and collaborate with analysts to drive business impact.

The role emphasizes continuous learning across AWS, GCP, and Azure ecosystems. You will work on data pipelines, model deployment, and large-scale analytics to support enterprise clients.

Qualifications

• Bachelor's or master's degree in computer science, data science, artificial intelligence, or related discipline.
• Strong problem-solving, analytical, and communication skills; ability to articulate concepts to diverse 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 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, Vertex AI, and Azure AI + Copilot Studio.
• 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; deploy models via Azure ML, AWS SageMaker, or 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

LangChain

LangGraph

RAG pipelines

AutoGen

CrewAI

Semantic Kernel

AWS/GCP/Azure

PyTorch/Scikit-learn

Azure Synapse/Databricks

Education

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

Tools

AWS

GCP

Azure

Azure ML

Databricks

Job description

Cognizant is seeking a highly skilled Business & Data Analyst to join the IOA practice, focusing on AI-powered automation. You will design, build, and deploy full-stack AI solutions, translate client needs into scalable ML workflows, and collaborate with analysts to drive business impact.

The role emphasizes continuous learning across AWS, GCP, and Azure ecosystems. You will work on data pipelines, model deployment, and large-scale analytics to support enterprise clients.