Aws Lex Data Jobs

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1d ago

Agentic AI Engineer - Conversational AI

Cognizant Minneapolis, MN 🇺🇸 Remote

Minneapolis, MN

1d ago

$90k - $101k/yr Full time Backend Developer Manager Agentic Ai

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Job Description

Build and deliver enterprise conversational and agentic AI capabilities in a cloud-native AWS environment.

Responsibilities

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, high-performing cloud-native AI applications on AWS
Partner with QA and UAT teams to support testing, validation, and deployment
Drive technical excellence using best practices across software engineering, AI agent development, and application modernization

Requirements

6-10 years of experience in software engineering, including hands-on work building conversational AI, Generative AI, or cloud-native applications
Experience with AWS Lex or Any Other Deterministic Bot
Hands-on experience with AWS Bedrock and Bedrock AgentCore
Experience with AWS Strands SDK / Framework
Experience with Voice Bot and Chat Bot development
Experience building and orchestrating agentic AI applications
Knowledge of intent modeling, conversation design, prompt engineering, and NLU concepts
Experience with LLM application development, 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 (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

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

Location

Minneapolis, MN

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 tool 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

Compensation

Annual salary: $90,000 - $101,000 (depending on experience and other qualifications)
Eligible for Cognizant’s discretionary annual incentive program based on performance and terms of applicable plans

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