Agentic AI Engineer - Conversational AI

Cognizant; Minneapolis (MN); Remote; USD 90,000 - 101,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan and contributions

Paid holidays and PTO

Job summary

Cognizant is seeking an Agentic AI Engineer - Conversational AI to design, develop, and deliver enterprise-grade AI solutions. You will work with global teams to build scalable cloud-native apps, focusing on conversational and agentic AI using AWS Bedrock, Lex, and related services.

Remote work options are available with flexible balance programs. The role requires 6–10 years of software engineering experience in conversational or cloud-native AI, strong collaboration, and a drive for technical

Qualifications

• 6–10 years of software engineering experience, including building conversational or generative AI solutions.

Responsibilities

• Lead distributed development teams across onshore and offshore locations.
• Design, develop, and implement conversational AI and agentic AI solutions from client requirements.
• Architect scalable, secure, cloud-native AI applications on AWS.
• Collaborate with QA and UAT teams for testing, validation, and deployment.
• Promote best practices in software engineering, AI agent development, and application modernization.

Skills

Distributed team leadership

Conversational AI

Generative AI

Cloud-native apps

AWS

Prompt engineering

NLU concepts

LLM orchestration

Security & compliance

Tools

AWS Lex

AWS Bedrock

Bedrock AgentCore

AWS Strands

AWS Lambda

Amazon S3

DynamoDB

API Gateway

IAM

CloudWatch

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.