What are the responsibilities and job description for the Senior Agentic AI Engineer position at Cognizant?
In This Role, You Will
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)
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: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Lead Dev team across onshore and Offshore
- Hands on Dev, Design and architecture based on the client requirement
- Support QA and UAT team
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
- 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
- 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.
- 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.
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: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- 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
Salary : $90,000 - $100,000