Agentic AI Engineer - Conversational AI

Cognizant is hiring an Agentic AI Engineer to design and deliver enterprise-grade conversational and agentic AI solutions for client use cases. This remote role is based in Minneapolis, MN, and focuses on building scalable, secure, cloud-native applications on AWS that use large language models, while coordinating distributed development teams across onshore and offshore locations.

What you’ll do

• Lead distributed development teams across onshore and offshore locations.
• Design, develop, and implement conversational AI and agentic AI solutions aligned to client requirements.
• Architect scalable, secure, and high-performing cloud-native AI applications on AWS.
• Collaborate with QA and UAT teams to support testing, validation, and deployment of solutions.
• Drive technical excellence using best practices across software engineering, AI agent development, and application modernization.

What you’ll bring

• 6-10 years of experience in software engineering with hands-on work building conversational AI, Generative AI, or cloud-native applications.
• Experience with AWS Lex or another deterministic bot.
• Experience with AWS Bedrock and Bedrock AgentCore.
• Experience with AWS Strands SDK / Framework.
• Experience with voice bot and chat bot development.
• Experience building agentic AI applications and orchestration.
• Knowledge of intent modeling, conversation design, prompt engineering, and NLU concepts.
• Experience with LLM application development, including tool calling, function calling, and agent workflows.
• 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 (a plus).
• 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.

Technologies you’ll work with

• AWS Lex
• AWS Bedrock
• Bedrock AgentCore
• AWS Strands SDK / Framework
• Amazon Bedrock
• AWS Lambda
• Amazon S3
• DynamoDB
• API Gateway
• IAM
• CloudWatch
• Retrieval-Augmented Generation (RAG)
• LLM orchestration frameworks

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

Work model

• Remote position

Compensation

The annual salary range is $90,000 - $101,000 depending on experience and other qualifications. The role may also be eligible for Cognizant’s discretionary annual incentive program, subject to the terms of Cognizant’s applicable plans.

Ways to 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 development accelerators such as GitHub Copilot, ChatGPT, Cursor, Claude, or similar (one tool is required).
• Experience with conversational analytics, agent evaluation frameworks, and bot performance optimization.
• Experience implementing Responsible AI, AI governance, compliance, and enterprise AI security controls.