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Cognizant
AI

Sr. AI Engineer - Large Language Models Agentic Systems

Cognizant · Norfolk, VA, US · $115k - $130k

Actively hiring Posted about 11 hours ago
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Role overview

As a Senior AI Engineer – Large Language Models & Agentic Systems , you will make an impact by designing and delivering scalable, production-grade AI applications powered by large language models. You will be a valued member of the AI engineering team and work collaboratively with data scientists, software engineers, and product stakeholders to build intelligent, enterprise-ready solutions.

Responsibilities

  • Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python
  • Design and implement retrieval-augmented generation (RAG) pipelines over enterprise datasets using embeddings and vector databases
  • Build and orchestrate multi-step, tool-using AI agents (planning, execution, and memory) using frameworks such as LangChain or LangGraph
  • Integrate AI solutions with APIs, backend systems, and cloud platforms to enable scalable deployment
  • Establish evaluation, reliability, and performance strategies, including accuracy, latency, and cost optimization

Basic qualifications

  • Strong expertise in Python, with experience building and deploying production-grade backend systems
  • Hands-on experience developing applications using large language models, including prompt engineering and orchestration
  • Proven experience designing and implementing RAG architectures, including embeddings and vector databases
  • Experience with agentic frameworks such as LangChain, LangGraph, or similar technologies
  • Strong system design skills with experience building and scaling cloud-based applications

Preferred qualifications

  • Experience working with enterprise-scale data and deploying AI solutions in production environments
  • Familiarity with multiple LLM providers and model optimization techniques
  • Knowledge of evaluation frameworks for LLM performance and responsible AI practices
  • Experience building distributed systems or microservices architectures
  • Exposure to MLOps, CI/CD pipelines, and monitoring of AI systems

Benefits

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Tags & focus areas

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Fulltime Remote Ai Ai Engineer Data Science

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