Senior AI/ML Architect for Enterprise GenAI

Cognizant Technology Solutions Corporation; Washington (District of Columbia); On-site; USD 150,000 - 230,000; Full time

Job summary

Cognizant Technology Solutions Corporation in Washington, DC seeks a Senior AI/ML Engineer to design and deliver analytics and AI-driven solutions for global investment banking operations. You will leverage Python, PySpark, Azure ML, Generative AI, and full stack development to build scalable platforms.

The role emphasizes cloud-native AI workloads, LangChain/LangGraph, RAG, and enterprise-grade governance, collaborating with business stakeholders to turn complex data into actionable insights.

Qualifications

• Experience designing and deploying enterprise ML/AI solutions.
• Strong Python and PySpark development skills.
• Hands-on with cloud platforms and AI services (Azure).
• Familiarity with Generative AI, LangChain, RAG, and agent frameworks.
• Ability to translate business problems into analytics, models, and workflows.

Responsibilities

• Design, develop, and deploy ML models analyzing large financial datasets.
• Build GenAI solutions using Azure OpenAI Service and RAG apps.
• Develop backend services and APIs using FastAPI for AI workloads.
• Create scalable data pipelines and model deployment workflows in Azure ML.
• Collaborate with stakeholders to govern, validate, and operationalize AI applications.

Skills

Python

PySpark

Azure Machine Learning

Generative AI

Full Stack Development

LangChain

LangGraph

RAG

FastAPI

Azure OpenAI Service

Tools

Azure Databricks

Azure Data Lake

Azure DevOps

Job description

Cognizant Technology Solutions Corporation in Washington, DC seeks a Senior AI/ML Engineer to design and deliver analytics and AI-driven solutions for global investment banking operations. You will leverage Python, PySpark, Azure ML, Generative AI, and full stack development to build scalable platforms.

The role emphasizes cloud-native AI workloads, LangChain/LangGraph, RAG, and enterprise-grade governance, collaborating with business stakeholders to turn complex data into actionable insights.