Senior Agentic AI Engineer

Remote in USA Senior Agentic AI Engineer role at Cognizant focused on production-grade conversational and agentic AI on AWS.

Responsibilities

• Lead the development effort across onshore and offshore teams
• Work hands-on with design and architecture aligned to client requirements
• Support QA and UAT teams to validate client requirements

Requirements

• Conversational AI & Agentic AI Platforms (MUST)
• AWS Lex or any other deterministic bot
• AWS Bedrock and Bedrock AgentCore
• AWS Strands SDK / Framework
• Experience building voice bot and chat bot solutions
• 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
• Cloud & Infrastructure (MUST): 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)
• Generative AI & Agent Engineering (MUST)
  • Build production-grade generative AI applications using Amazon Bedrock
  • Develop and orchestrate AI agents using Bedrock AgentCore and AWS Strands
  • Use LLM orchestration frameworks, tool integrations, and multi-agent workflows
  • RAG architecture experience (optional)
  • Prompt engineering, model evaluation, grounding, and agent performance tuning
  • Secure enterprise AI agents: guardrails, prompt injection mitigation, data protection, access controls, and responsible AI controls
  • Optimize LLM agents for accuracy, latency, scalability, reliability, observability, and cost efficiency
  • Monitor and troubleshoot production AI agents and conversational AI systems
  • Conversational analytics, agent evaluation frameworks, and bot performance optimization (MUST)
  • Multi-agent systems experience and advanced agent orchestration patterns
• AWS certifications such as AWS Certified AI Practitioner, AWS Certified AI Engineer, or equivalent
• Use AI development accelerators such as GitHub Copilot, ChatGPT, Cursor, Claude, or similar (one of these tools is a MUST)

Technologies

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

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

Compensation

• Annual salary range: $100,000–$130,000 (depending on experience and qualifications)
• Eligible for Cognizant discretionary annual incentive program based on performance (subject to plan terms)

Application Deadline

• Applications accepted until 10/23/2026

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 of the tools is a MUST)
• Experience with conversational analytics, agent evaluation frameworks, and bot performance optimization (MUST)
• Experience with Responsible AI, AI governance, compliance, and enterprise AI security controls