AI Engineer — Agentic AI & Cloud ML Specialist

Cognizant; Concord (NH); On-site; USD 55,000 - 74,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus 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 its IOA practice. You design, build, and deploy AI-driven applications and data pipelines across AWS, GCP, and Azure, translating client requirements into scalable solutions.

You will work with Python, LangChain, LangGraph, and ML frameworks to build agentic AI solutions on cloud platforms, collaborating with business analysts and staying current with evolving AI architectures.

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.

Education

Bachelor's or Master’s degree in a related field (computer science, data science, AI)

Tools

Python

LangChain

LangGraph

RAG pipelines

AutoGen

CrewAI

Semantic Kernel

AWS Bedrock

GCP Vertex AI

Azure AI + Copilot Studio

Azure Data Factory

AWS Glue

Spark

Apache Airflow

Kafka

PyTorch

Scikit-learn

R

Azure ML

SageMaker

Vertex AI

Azure Synapse

Databricks SQL

Job description

Cognizant is seeking a highly skilled Business & Data Analyst to join its IOA practice. You design, build, and deploy AI-driven applications and data pipelines across AWS, GCP, and Azure, translating client requirements into scalable solutions.

You will work with Python, LangChain, LangGraph, and ML frameworks to build agentic AI solutions on cloud platforms, collaborating with business analysts and staying current with evolving AI architectures.