AI Engineer: Cloud-Native Data & Automation for Enterprise

Cognizant Technology Solutions Corporation; Boston (MA); On-site; USD 59,000 - 72,000; 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 highly skilled Business & Data Analyst to join the IOA practice. You will design, build, and deploy full-stack AI applications, craft data pipelines, and translate client requirements into scalable AI/ML solutions.

You'll work with AWS, GCP, and Azure across on-prem and cloud environments, collaborating with analysts and consultants to drive outcomes and assist clients in revenue growth and operational efficiency.

Qualifications

• Bachelor's or Master's degree in computer science, data science, artificial intelligence, or a related discipline.
• Strong problem-solving, analytical, and communication skills.
• 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.
• Experience with data engineering tools (Spark, Airflow, Kafka) and/or ML frameworks (PyTorch, Scikit-learn).
• Strong problem-solving skills and ability to work across cloud and on-prem environments.
• Comfortable working in a fast-moving 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, 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 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

Problem solving

Analytical thinking

Communication

Cloud platforms experience

Python

ML frameworks

Data engineering tools

Fast-changing AI landscape

Education

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

Tools

LangChain

LangGraph

AWS

GCP

Azure

Job description

Cognizant is seeking a highly skilled Business & Data Analyst to join the IOA practice. You will design, build, and deploy full-stack AI applications, craft data pipelines, and translate client requirements into scalable AI/ML solutions.

You'll work with AWS, GCP, and Azure across on-prem and cloud environments, collaborating with analysts and consultants to drive outcomes and assist clients in revenue growth and operational efficiency.