Senior Agentic AI Engineer

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

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan

Paid holidays

Paid Time Off

Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a senior developer to lead a remote role focused on Conversational AI and agent engineering. You will build production-grade AI applications on AWS Bedrock, orchestrate multi-agent workflows, and ensure security controls are in place for enterprise deployment.

The role offers remote work flexibility for applicants in Minneapolis, MN, with onshore/offshore collaboration and a strong emphasis on AI governance and performance optimization.

Qualifications

• Experience building production AI applications using Amazon Bedrock.
• Hands‑on experience with AI agents orchestration and Bedrock AgentCore/Strands.
• Proficient in prompt engineering, model evaluation, grounding, and agent performance tuning.
• Understanding of Retrieval-Augmented Generation (RAG) architectures (optional).
• Experience with securing enterprise AI agents including guardrails and data protection.

Responsibilities

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

Skills

Conversational AI

Agentic AI

LLM App Dev

Prompt Engineering

AWS Bedrock

Bedrock AgentCore

Strands SDK

Voice/Chat Bots

Agent Orchestration

RAG Architect

Security Controls

Tools

AWS Lambda

API Gateway

DynamoDB

Amazon S3

CloudWatch

IAM

Bedrock AgentCore

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 $ 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

• 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.