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Senior Agentic AI Engineer (Remote)

Cognizant

Remote · USJob$100–130K/yrSeen 3w agoSeen in employer's feed 3 days ago

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At a glance

Compensation
$100–130K/yr
Location
Remote · US
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Cognizant seeks a Senior Agentic AI Engineer to lead an onshore and offshore development team and contribute hands-on to development, design, and architecture based on client requirements. The role focuses on production-grade generative AI and conversational AI applications using AWS services, agent orchestration, and LLM workflows. It also supports QA and UAT teams and includes monitoring, securing, and optimizing production AI agents.

Skills & qualifications

RequiredNice to have

Skills

Conversational AI PlatformsAgentic AI PlatformsAWS LexDeterministic BotsAWS BedrockBedrock AgentCoreAWS Strands SDKVoice Bot DevelopmentChat Bot DevelopmentAgentic AI DevelopmentAgent OrchestrationIntent ModelingConversation DesignPrompt EngineeringNLULLM Application DevelopmentTool CallingFunction CallingAgent WorkflowsAWS LambdaAmazon S3DynamoDBAPI GatewayIAMCloudWatchSecure AI DeploymentCloud-Native Agent ArchitecturesGenerative AI Application DevelopmentLLM Orchestration FrameworksTool IntegrationsMulti-Agent WorkflowsRetrieval-Augmented GenerationModel EvaluationGroundingAgent Performance TuningAI Agent SecurityGuardrailsPrompt Injection MitigationData ProtectionAccess Controls

Qualifications

AWS Certified AI Practitioner or AWS Certified AI Engineer or EquivalentGitHub Copilot or ChatGPT or Cursor or Claude

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Paid Time Off
401(k) Match
Parental Leave

Full job description

Senior Agentic AI Engineer

Location: Remote in USA

Responsibilities:

Lead Dev team across onshore and Offshore

Hands on Dev, Design and architecture based on the client requirement

Support QA and UAT team

Qualifications:

Conversational AI & Agentic AI Platforms (MUST)

  • AWS Lex or Any Other Deterministic Bot

  • AWS Bedrock and Bedrock AgentCore

  • AWS Strands SDK / Framework

  • Voice Bot and Chat Bot development

  • Agentic AI application development and orchestration

  • Intent modeling, conversation design, prompt engineering, and NLU concepts

  • LLM application development, tool calling, function calling, and agent workflows

Cloud & Infrastructure (MUST) Strong hands-on experience with AWS services including:

  • Amazon Bedrock

  • Bedrock AgentCore

  • AWS Lambda

  • Amazon S3

  • DynamoDB

  • API Gateway

  • IAM

  • CloudWatch

  • Knowledge of secure AI/LLM deployment patterns and cloud-native agent architectures – Will be a Plus

Generative AI & Agent Engineering (MUST)

  • Hands-on experience building production-grade Generative AI applications using Amazon Bedrock.

  • Experience developing and orchestrating AI agents using Bedrock AgentCore and AWS Strands.

  • Experience with LLM orchestration frameworks, tool integrations, and multi-agent workflows.

  • Experience implementing Retrieval-Augmented Generation (RAG) architectures(Optional)

  • Experience with prompt engineering, model evaluation, grounding, and agent performance tuning.

  • Experience securing enterprise AI agents including guardrails, prompt injection mitigation, data protection, access controls, and responsible AI controls.

  • Experience optimizing LLM agents for accuracy, latency, scalability, reliability, observability, and cost efficiency.

  • Experience monitoring and troubleshooting production AI agents and conversational AI systems.

  • Preferred Qualifications

  • AWS Certifications such as AWS Certified AI Practitioner, AWS Certified AI Engineer, or equivalent.

  • Experience with multi-agent systems and advanced agent orchestration patterns.

  • Experience using AI tools such as GitHub Copilot, ChatGPT, Cursor, Claude, or similar development accelerators (One of the tools is a MUST).

  • Experience with conversational analytics, agent evaluation frameworks, and bot performance optimization (MUST).

  • Experience implementing Responsible AI, AI governance, compliance, and enterprise AI security controls.

Salary and Other Compensation:

Applications will be accepted until 11/13/2026.

The annual salary for this position is between $ 100,000– $ 130,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • 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

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

How this job compares

Set against the 7,053 open AI Engineer jobs on Olive Jobs, counted October 28, 2026.

Pay
  • This posting$100–130K/yr
  • Nebraska median$134–233K/yr26 salary ranges
  • US median$133–241K/yr5,855 salary ranges

This range's midpoint, $115K, is 35% below the Nebraska median midpoint ($177K) — in the lowest quarter of AI Engineer salary ranges in Nebraska.

Openings
Olive Jobs lists 31 open AI Engineer jobs in Nebraska and 7,053 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in Nebraska
Experience
AI Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 8 years (6,084 postings).
Education
3,347 of the 7,053 open AI Engineer jobs (47%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 28, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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