Senior Gen AI Engineer - Azure & LangChain

Cognizant; Lincoln (NE); On-site; USD 100,000 - 156,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays

401(k) plan

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Senior AI/ML Engineer in the United States to design advanced analytics and AI-driven solutions for investment banking and brokerage operations. You will leverage Python, PySpark, Azure ML, LangChain/LangGraph, and GenAI with FastAPI to build scalable backend services and enterprise-ready AI apps.

The role emphasizes distributed computing, cloud-native AI platforms, responsible AI governance, and collaboration with stakeholders to turn data into actionable insights and

Qualifications

• 8+ years in Data Science/ML/AI Engineering or related fields.
• Expert Python and PySpark for large-scale data processing.
• Strong experience with FastAPI, REST APIs, and microservices.
• Hands-on with LangChain, LangGraph, RAG architectures, and Agentic AI frameworks.
• Deep Azure ML and Azure OpenAI Service skills; cloud-native AI platform expertise.
• Experience deploying enterprise-grade AI/ML solutions; CI/CD practices.

Responsibilities

• Design, develop, and deploy ML models and analytics for finance data.
• Build predictive, classification, anomaly detection, and forecasting models.
• Create Generative AI solutions and RAG apps leveraging vector databases.
• Develop enterprise-grade Python full-stack services and APIs.
• Operationalize models with MLOps, monitoring, governance and security.

Skills

Python

PySpark

Azure Machine Learning

Generative AI

Full Stack Development

FastAPI

ML/AI Engineering

LangChain

LangGraph

RAG

Agentic AI Frameworks

Azure OpenAI Service

Azure Databricks

Tools

FastAPI

REST APIs

Microservices Architecture

Docker

Kubernetes

CI/CD

Azure Data Lake

Azure Databricks

Azure DevOps

Job description

Cognizant is seeking a Senior AI/ML Engineer in the United States to design advanced analytics and AI-driven solutions for investment banking and brokerage operations. You will leverage Python, PySpark, Azure ML, LangChain/LangGraph, and GenAI with FastAPI to build scalable backend services and enterprise-ready AI apps.

The role emphasizes distributed computing, cloud-native AI platforms, responsible AI governance, and collaboration with stakeholders to turn data into actionable insights and