11 hours ago
Minneapolis, MN, USASenior
Base Salary
$84k - $130k/yr
Responsibilities
- Design, develop, and deploy conversational AI platforms, voice bots, and chat bots using AWS Lex and other deterministic bot technologies.
- Build and orchestrate agentic AI applications using Amazon Bedrock, Bedrock AgentCore, and AWS Strands SDK/Framework.
- Develop production-grade generative AI and LLM applications with tool calling, function calling, multi-agent workflows, and agent orchestration.
- Design intent models, conversation flows, prompts, and NLU capabilities.
- Monitor, troubleshoot, optimize, and continuously improve AI agents and conversational systems for accuracy, latency, scalability, reliability, observability, and cost efficiency.
- Implement conversational analytics, agent evaluation, bot performance optimization, and enterprise AI security controls.
Requirements
- Strong hands-on experience developing conversational AI and agentic AI platforms with Amazon Bedrock, Bedrock AgentCore, AWS Lex, AWS Strands SDK/Framework, and related AWS AI services.
- Hands-on experience building production-grade generative AI solutions using Amazon Bedrock, including LLM applications, agent workflows, tool calling, and function calling.
- Strong experience developing voice bot and chat bot solutions, including intent modeling, conversation design, prompt engineering, and NLU concepts.
- Strong AWS cloud development experience with AWS Lambda, Amazon S3, DynamoDB, API Gateway, IAM, and CloudWatch.
- Experience securing enterprise AI applications through guardrails, prompt injection mitigation, data protection, access controls, responsible AI controls, and AI security practices.
- Experience monitoring, troubleshooting, and optimizing AI agents and conversational AI platforms in production.
- Experience with conversational analytics, agent evaluation frameworks, and bot performance optimization.
- Experience using an AI-assisted development platform such as GitHub Copilot, ChatGPT, Cursor, Claude, or a similar development accelerator.
- Preferred experience includes secure AI/LLM deployment patterns, cloud-native agent architectures, advanced multi-agent systems, RAG architectures, responsible AI, AI governance, compliance, enterprise AI security controls, and model evaluation frameworks.
- AWS certifications such as AWS Certified AI Practitioner or AWS Certified AI Engineer are preferred.
Benefits
- Remote position open to qualified applicants in the United States.
- Medical, dental, vision, and life insurance.
- Paid holidays and paid time off.
- 401(k) plan and contributions.
- Long-term and short-term disability coverage.
- Paid parental leave.
- Employee Stock Purchase Plan.
- Eligible for a discretionary annual incentive program based on performance.
Tech Stack
Amazon DynamoDBAWS
Categories
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.