Senior Agentic AI Engineer

Cognizant; Lincoln (NE); Remote; USD 90,000 - 100,000; Full time

Benefits offered by this job

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

Job summary

Cognizant is seeking a remote role in the United States for a senior AI/ML engineer focused on Conversational AI and agentic platforms. You will lead development across onshore and offshore teams, design architecture, and support QA/UAT to ensure quality deployments.

Required hands-on experience with AWS Lex, Bedrock, Bedrock AgentCore, Strands, multi-agent orchestration, and secure AI practices; strong prompts, evaluation, and tool integrations are essential.

Qualifications

• Conversational AI platforms experience (MUST)
• AWS Lex or equivalent deterministic bot experience (MUST)
• AWS Bedrock and Bedrock AgentCore experience (MUST)
• AWS Strands SDK / Framework experience (MUST)
• Voice bot and chat bot development (MUST)
• Agentic AI application development and orchestration (MUST)
• Intent modeling, conversation design, prompt engineering, and NLU concepts (MUST)
• LLM application development, tool calling, function calling, and agent workflows (MUST)
• Secure AI deployment patterns and enterprise AI controls (MUST)
• Experience with retrieval-augmented generation (optional)

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

Bedrock

Bedrock AgentCore

AWS Strands SDK

Voice Bot development

Agentic AI application development

Intent modeling

Conversation design

Prompt engineering

LLM application development

Tool calling

Agent workflows

Tools

AWS Lambda

Amazon S3

DynamoDB

API Gateway

IAM

CloudWatch

Strands SDK

Job description

In this role, you will:

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

Work model:

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Minneapolis - MN. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs

What you must have to be considered:

Conversational AI & Agentic AI Platforms (MUST)

• 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:

The annual salary for this position is between $ 90,000– $ 100,000 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

• 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

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.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.