Senior Agentic AI Engineer

Cognizant

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$100,000–$130,000 / yr
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $115k
$82k $269k
below market most similar roles pay here above market

This role pays less than 99% of similar roles. Most pay $161,250–$247,362 — the blue band above. At the midpoint, this role pays about $115k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 330 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 211 roles with salary data.

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View all roles at Cognizant

At a glance

TL;DR · Senior Agentic AI Engineer

The Senior Agentic AI Engineer will lead a development team across onshore and offshore locations to design and architect solutions based on specific client requirements. This role involves hands-on development, supporting QA and UAT teams, and building production-grade Generative AI applications. Key responsibilities include developing and orchestrating AI agents, intent modeling, conversation design, and prompt engineering. You will utilize technologies such as AWS Lex, Amazon Bedrock, Bedrock AgentCore, AWS Strands SDK, AWS Lambda, S3, DynamoDB, and API Gateway. The work focuses on building voice and chat bots, implementing Retrieval-Augmented Generation, and managing multi-agent workflows. You must ensure secure AI deployment through guardrails, prompt injection mitigation, and performance tuning for accuracy, latency, scalability, and reliability within enterprise conversational AI systems.

What you'll do

  • Lead the development team across onshore and offshore locations.
  • Design and architect AI solutions based on specific client requirements.
  • Develop and orchestrate production-grade AI agents using Amazon Bedrock and Bedrock AgentCore.
  • Build and manage LLM applications featuring tool calling, function calling, and multi-agent workflows.
  • Implement Retrieval-Augmented Generation (RAG) architectures and prompt engineering techniques.
  • Secure enterprise AI agents using guardrails, prompt injection mitigation, and data protection controls.
  • Optimize LLM agents for accuracy, latency, scalability, reliability, and cost efficiency.
  • Monitor and troubleshoot production AI agents and conversational AI systems.

What we're looking for

  • Experience with Conversational AI and Agentic AI platforms including AWS Lex, AWS Bedrock, and Bedrock AgentCore.
  • Proficiency in Voice Bot and Chat Bot development, intent modeling, conversation design, and NLU concepts.
  • Hands-on experience with LLM application development, tool calling, function calling, and agent workflows.
  • Strong experience with AWS services including Lambda, S3, DynamoDB, API Gateway, IAM, and CloudWatch.
  • Experience building production-grade Generative AI applications and orchestrating AI agents using AWS Strands.
  • Experience implementing Retrieval-Augmented Generation (RAG) architectures (optional).
  • Experience securing enterprise AI agents using guardrails, prompt injection mitigation, and responsible AI controls.
  • Experience with conversational analytics, agent evaluation frameworks, and bot performance optimization (MUST).

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