Senior Agentic AI Engineer

Cognizant

Salt Lake City (UT)

À distance

USD 90 000 - 100 000

Plein temps

Il y a 11 jours
Générateur de candidature

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Avantages offerts par ce poste

Medical/Dental/Vision Insurance
Paid holidays and PTO
401(k) plan

Résumé du poste

Cognizant is seeking a senior AI engineer to lead and deliver Conversational AI platforms, agent orchestration, and multi-agent workflows for enterprise clients. The role blends hands-on development with design and architecture.

You’ll collaborate across onshore/offshore teams, engage in AWS Bedrock, Lambda, S3, and security practices, and drive responsible AI governance. The position is remote with preference for candidates in Minneapolis, MN and open to qualified applicants in the United

Qualifications

  • Must have Conversational AI & Agentic AI Platforms experience (AWS Lex/Bedrock).
  • Hands-on experience with AWS Bedrock and Bedrock AgentCore.
  • Experience with AWS Strands SDK/Framework and bot development.
  • Proficiency in voice bot and chat bot development and agent orchestration.
  • Strong understanding of LLM applications, tool calling, and multi-agent workflows.

Responsabilités

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

Connaissances

Conversational AI
Agentic AI
Voice & Chat Bots
NLU concepts
Prompt engineering
LLM orchestration
Agent workflows
RAG architectures

Outils

AWS Bedrock
Bedrock AgentCore
AWS Lambda
Amazon S3
DynamoDB
API Gateway
IAM
CloudWatch

Description du poste

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.

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