Senior Agentic AI Engineer

Cognizant is hiring a Senior Agentic AI Engineer to lead the delivery of conversational and agentic AI solutions across onshore and offshore teams. This remote role is available to qualified candidates in the Minneapolis, MN area and focuses on designing, orchestrating, securing, and supporting production-ready AI agents built on AWS.

In this position, you will work hands-on from design and architecture through implementation, collaborating with QA and UAT to ensure client requirements are met and deployments operate reliably in production.

Responsibilities

• Lead the development team across onshore and offshore delivery.
• Provide hands-on development, design, and architecture aligned to client requirements.
• Support QA and UAT teams throughout testing and validation.

Requirements

• AWS Lex or experience building an equivalent deterministic bot.
• Hands-on experience with AWS Bedrock and Bedrock AgentCore.
• Experience with AWS Strands SDK / Framework.
• Experience developing both voice bots and chat bots.
• Agentic AI application development and orchestration.
• Intent modeling, conversation design, prompt engineering, and NLU concepts.
• LLM application development including tool calling, function calling, and agent workflows.
• 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 with 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.
• 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).

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
• RAG architectures
• Prompt engineering

Preferred Qualifications

• 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 required).
• Experience with conversational analytics, agent evaluation frameworks, and bot performance optimization (required).
• Experience implementing Responsible AI, AI governance, compliance, and enterprise AI security controls.

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 open to qualified applicants in Minneapolis, MN.

Salary and Other Compensation

• Annual salary range: $90,000–$100,000, depending on experience and other qualifications.
• Eligible for Cognizant’s discretionary annual incentive program, subject to plan terms and performance.

Disclaimer: Salary, other compensation, and benefits information is accurate as of the posting date. Cognizant reserves the right to modify this information at any time, subject to applicable law.