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Cognizant

Agentic AI Engineer - Conversational AI

minneapolis, MN

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About this opportunity

Cognizant lists this Agentic AI Engineer - Conversational AI opportunity in minneapolis, Minnesota. Review the employer’s description below for duties, qualifications and application requirements.

Job description

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

About the Role

As an Agentic AI Engineer - Conversational AI you will make an impact by designing, developing, and delivering enterprise-grade conversational and agentic AI solutions that drive business outcomes for our clients. You will be a valued member of a global engineering team, collaborating with architects, developers, QA teams, product stakeholders, and business leaders to build scalable AI-powered applications leveraging modern cloud technologies and large language models.

In This Role, You Will:

Lead distributed development teams across onshore and offshore locations.

Design, develop, and implement conversational AI and agentic AI solutions based on client requirements.

Architect scalable, secure, and high-performing cloud-native AI applications on AWS.

Collaborate with QA and UAT teams to ensure successful testing, validation, and deployment of solutions.

Drive technical excellence through best practices in software engineering, AI agent development, and application modernization.

Work Model

We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

What You Must Have to Be Considered

6-10 years of experience in software engineering with hands-on experience building conversational AI, Generative AI, or cloud-native applications.

Conversational AI & Agentic AI Platforms

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

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

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.

These Will Help You Stand Out

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

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

The annual salary for this position is between $90,000 to $101,000 depending on the experience and other qualifications of the 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

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.

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Worksite address

minneapolis, MN, 55400, US

Who can apply

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