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Salary
$90k – $101k per year
Location
Remote (United States)
Seniority
Senior · 6+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 2, 2026. Cognizant scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Cognizant is an American information technology services and consulting company founded in 1994 as an in-house technology unit of Dun and Bradstreet in Chennai, India, and headquartered in Teaneck, New Jersey. It builds, integrates and operates software and infrastructure for large enterprises, with particularly deep positions in healthcare, financial services, insurance and life sciences, delivered by a global workforce of more than three hundred thousand people concentrated in India. Listed on Nasdaq, the company competes with the large Indian and global systems integrators and has reoriented its offerings around cloud migration, data platforms and AI-assisted engineering.

*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.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role

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: 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.

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