[Remote] Senior Agentic AI Engineer

Note: The job is a remote job and is open to candidates in USA. Cognizant is a technology and engineering company seeking a Senior Agentic AI Engineer to lead development teams and deliver client-focused AI solutions. The role involves hands-on development, design, architecture, conversational and agentic AI application development, cloud infrastructure implementation, and support for QA and UAT teams.

Responsibilities

• Lead Dev team across onshore and Offshore
• Hands on Dev, Design and architecture based on the client requirement
• Support QA and UAT team

Skills

• 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
• Amazon Bedrock
• Bedrock AgentCore
• AWS Lambda
• Amazon S3
• DynamoDB
• API Gateway
• IAM
• CloudWatch
• 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 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
• 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 (MUST)
• Knowledge of secure AI/LLM deployment patterns and cloud-native agent architectures – Will be a Plus
• 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 implementing Responsible AI, AI governance, compliance, and enterprise AI security controls
• Experience implementing Retrieval-Augmented Generation (RAG) architectures

Benefits

• Remote position open to qualified applicants in Minneapolis - MN
• Wellbeing programs
• Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans
• 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

Company Overview

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