AI Engineer: Agentic AI & Cloud Data Pipelines

Cognizant; Missoula (MT); On-site; USD 55,000 - 74,000; Full time

Benefits offered by this job

Health benefits

Paid time off

401(k) plan

Disability insurance

Parental leave

Employee stock purchase plan

Job summary

Cognizant is seeking a highly skilled Business & Data Analyst to join its IOA practice. You will design, build, and deploy AI solutions that drive operational efficiency and business impact.

The role involves cloud deployment (AWS, GCP, Azure), data pipelines, ML/NLG, and collaboration with analysts and consultants to translate client needs into scalable AI/ML systems. Start date is flexible with relocation to Dallas, TX.

Qualifications

• Bachelor's or master's degree in CS, data science, AI or a related field.
• Strong 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, 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

LangChain

LangGraph

RAG pipelines

AI/ML

Cloud platforms

Spark

Airflow

Kafka

PyTorch/Scikit-learn

Education

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

Tools

AWS

GCP

Azure

Azure Data Factory

AWS Glue

Databricks

Spark

Kafka

Job description

Cognizant is seeking a highly skilled Business & Data Analyst to join its IOA practice. You will design, build, and deploy AI solutions that drive operational efficiency and business impact.

The role involves cloud deployment (AWS, GCP, Azure), data pipelines, ML/NLG, and collaboration with analysts and consultants to translate client needs into scalable AI/ML systems. Start date is flexible with relocation to Dallas, TX.