AI Engineer - Onsite

Cognizant Technology Solutions Corporation
Dallas, United States of America
12 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Dallas, United States of America

Tech stack

JavaScript
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Azure
Databases
Identity and Access Management
JSON
Python
Node.js
React
Large Language Models
Backend
GIT
Containerization
Amazon Web Services (AWS)
Functional Programming
Cloudwatch
REST
Docker

Requirements

Design, develop, and support cloud-native automation and Al agent workflows using Python , and LLM orchestration frameworks (LangChain / LangGraph), deployed on AWS using containerized architectures.

Responsibilities

  • Develop automation solutions using Python.

  • Build Al agents using LangChain and LangGraph to orchestrate tools, APls, and workflows.

  • Integrate automations with enterprise systems via REST APIs and databases.

  • Containerize services using Docker and support CI/CD pipelines.

  • Deploy and operate solutions on AWS (IAM, S3, Lambda, ECS/Fargate, CloudWatch).

  • Reasoning Engines: Experience with frontier models like GPT-4o, Claude 3.5, and Llama 3.x/4 specifically for tool-calling and JSON-mode outputs, Azure OpenAI proficiency., + Must have 9+ years of Python development (automation, backend services).

  • JavaScript (React/Node JS)

  • LangChain and/or LangGraph hands-on experience.

  • Docker and container-based deployments.

  • AWS Cloud Practitioner-level knowledge with hands-on exposure.

  • REST APIS, JSON, Git.

Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.

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