Cognizant

Senior Agentic AI Engineer - Conversational AI

Cognizant • $110K — $130K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10-14 years of experience in software engineering and technical leadership
  • Proven track record in delivering enterprise-scale conversational or Generative AI solutions
  • Strong hands-on experience with AWS services like Amazon Bedrock and Lambda
  • Expertise in conversational AI platforms and agent orchestration
  • Familiarity with secure AI deployment patterns and cloud-native architectures

Responsibilities

  • Lead onshore and offshore development teams in hands-on development and solution design
  • Collaborate with QA and UAT teams to support testing and issue resolution
  • Design and deliver enterprise-grade conversational AI solutions
  • Drive architecture based on client requirements
  • Ensure successful project delivery through effective team collaboration

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
Full Job Description
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future* About the Role As a Senior Agentic AI Engineer - Conversational AI you will make an impact by designing, developing, and delivering enterprise-grade conversational and agentic AI solutions that drive business outcomes for our clients. You will be a valued member of a global engineering team, collaborating with architects, developers, QA teams, product stakeholders, and business leaders to build scalable AI-powered applications leveraging modern cloud technologies and large language models. In This Role, You Will: Lead onshore and offshore development teams while driving hands-on development, solution design, and architecture based on client requirements. You will also collaborate closely with QA and UAT teams to support testing, resolve issues, and ensure successful project delivery. 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. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs. What You Must Have to Be Considered • 10-14 years of experience in software engineering, solution design, and technical leadership with demonstrated success delivering enterprise-scale conversational AI or Generative AI solutions. Conversational AI & Agentic AI Platforms • 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 • 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 • 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. These Will Help You Stand Out • 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 • Experience implementing Responsible AI, AI governance, compliance, and enterprise AI security controls. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role The annual salary for this position is between $110,000 to $130,000 depending on the experience and other qualifications of the 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 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. Additional employment information Compensation 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. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

About Cognizant

TriZetto is Powering Integrated Healthcare Management. With technology solutions touching more than half the U.S. population today, TriZetto is uniquely positioned to drive the convergence of core benefit administration, care management and constituent engagement. TriZetto provides premier information technology solutions that enable payers and other constituents in the healthcare supply chain to improve the coordination of benefits and care for healthcare consumers.

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Learn more about Cognizant
Size
340,400 employees
Market Cap
$28.7 billion
Industry
Net Income
$1.3 billion
Founded
1994
5 Year Trend
+6.5%
Revenue
$16.6 billion
NASDAQ

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