Senior Agentic AI Engineer (Remote)

Cognizant; Minneapolis (MN); Remote; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical insurance

Dental/Vision insurance

Retirement plan (401k)

Disability insurance

Parental leave

Employee stock purchase plan

Job summary

Cognizant is seeking a Senior Agentic AI Engineer to lead a Dev team working across onshore and offshore, delivering production-grade Generative AI solutions on AWS Bedrock and related services. This role is remote in the USA and focuses on architecting, designing, and hands-on development for client requirements.

You will collaborate with QA/UAT, implement multi-agent orchestration, and apply prompt engineering, RAG, and secure AI practices.

Qualifications

• Hands-on experience building production-grade Generative AI applications on Bedrock.
• Experience with multi-agent orchestration and AI tool integration.
• Knowledge of secure AI deployment and guardrails.
• Experience with retrieval-augmented generation (RAG) (optional).

Responsibilities

• Lead development team across onshore and offshore.
• Hands-on development, design and architecture based on client requirements.
• Support QA and UAT teams.

Skills

Agentic AI development

LLM application development

Prompt engineering

Intent modeling

Conversation design

Tool integrations

RAG architectures

Security & governance in AI

Latency & scalability optimization

Monitoring AI agents

Tools

AWS Bedrock

Bedrock AgentCore

AWS Strands SDK

AWS Lambda

Amazon S3

DynamoDB

API Gateway

IAM

CloudWatch

Job description

Senior Agentic AI Engineer

Location: Remote in USA

Responsibilities:

Lead Dev team across onshore and Offshore

Hands on Dev, Design and architecture based on the client requirement

Support QA and UAT team

Qualifications:

• 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

Cloud & Infrastructure (MUST) 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 - Will be a Plus

Generative AI & Agent Engineering (MUST)

• 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.

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 implementing Responsible AI, AI governance, compliance, and enterprise AI security controls.

Salary and Other Compensation:

Applications will be accepted until 10/23/2026.

The annual salary for this position is between $ 100,000– $ 130,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

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