Senior Agentic AI Engineer

Cognizant

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Minneapolis, MN
Salary
$90,000–$100,000 / yr
Posted
25 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $95k
$71k $265k
below market most similar roles pay here above market

This role pays less than 99% of similar roles. Most pay $162,000–$246,150 — the blue band above. At the midpoint, this role pays about $95k 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 using AWS Bedrock, Bedrock AgentCore, and AWS Strands. Candidates must possess skills in conversational AI, intent modeling, prompt engineering, and NLU concepts. Technical requirements include proficiency with AWS Lambda, S3, DynamoDB, API Gateway, IAM, and CloudWatch. The work focuses on building agentic AI platforms, implementing Retrieval-Augmented Generation, and ensuring secure LLM deployment through guardrails, prompt injection mitigation, and responsible AI controls to optimize for accuracy, latency, scalability, and cost efficiency.

What you'll do

  • Lead the development team across both onshore and offshore locations.
  • Perform hands-on development, design, and architecture based on specific client requirements.
  • Build production-grade Generative AI applications using Amazon Bedrock.
  • Develop and orchestrate AI agents using Bedrock AgentCore and AWS Strands.
  • Implement Retrieval-Augmented Generation (RAG) architectures and multi-agent workflows.
  • Engineer prompt engineering, model evaluation, grounding, and agent performance tuning.
  • Secure enterprise AI agents using guardrails, prompt injection mitigation, and data protection.
  • Monitor and troubleshoot production AI agents and conversational AI systems.

What we're looking for

  • Lead development teams across onshore and offshore locations.
  • Perform hands-on development, design, and architecture based on client requirements.
  • Develop voice and chat bots using AWS Lex or other deterministic bot platforms.
  • Build production-grade Generative AI applications using AWS Bedrock, Bedrock AgentCore, and AWS Strands.
  • Demonstrate proficiency in intent modeling, conversation design, prompt engineering, NLU concepts, and LLM tool/function calling.
  • Maintain strong hands-on experience with AWS services including Lambda, S3, DynamoDB, API Gateway, IAM, and CloudWatch.
  • Experience implementing Retrieval-Augmented Generation (RAG) architectures (Optional).
  • Possess AWS Certifications such as AWS Certified AI Practitioner or AI Engineer (preferred).

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