About the Role
As a Conversational AI Platform Engineer, you will make an impact by designing, developing, and deploying enterprise-grade conversational AI solutions, voice and chat bots, and agentic AI applications powered by AWS services and Large Language Models (LLMs). You will be a valued member of the AI Engineering team and work collaboratively with architects, cloud engineers, product owners, business stakeholders, and cross-functional technology teams to deliver innovative AI-driven solutions.
In this role, you will:
- Design, develop, and deploy conversational AI platforms, including voice bots and chat bots, using AWS Lex and other deterministic bot technologies.
- Build and orchestrate Agentic AI applications leveraging Amazon Bedrock, Bedrock AgentCore, and AWS Strands SDK/Framework.
- Develop production-grade Generative AI and LLM-based applications utilizing tool calling, function calling, multi-agent workflows, and agent orchestration patterns.
- Design intent models, conversation flows, prompts, and Natural Language Understanding (NLU) capabilities to deliver highly effective user experiences.
- Monitor, optimize, troubleshoot, and continuously improve AI agents and conversational systems for accuracy, latency, scalability, reliability, observability, and cost efficiency.
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 the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
What You Need to Have to Be Considered
- Strong hands-on experience developing Conversational AI and Agentic AI platforms using Amazon Bedrock, Bedrock AgentCore, AWS Lex, AWS Strands SDK/Framework, and related AWS AI services.
- Hands-on experience building production-grade Generative AI solutions using Amazon Bedrock, including LLM application development, agent workflows, tool calling, and function calling.
- Strong experience designing and developing voice bot and chat bot solutions, including intent modeling, conversation design, prompt engineering, and NLU concepts.
- Strong AWS cloud development experience including AWS Lambda, Amazon S3, DynamoDB, API Gateway, IAM, and CloudWatch.
- Experience securing enterprise AI applications through guardrails, prompt injection mitigation, data protection, access controls, responsible AI controls, and AI security best practices.
- Experience monitoring, troubleshooting, and optimizing AI agents and conversational AI platforms in production environments.
- Hands-on experience with conversational analytics, agent evaluation frameworks, and bot performance optimization.
- Experience using at least one AI-assisted development platform such as GitHub Copilot, ChatGPT, Cursor, Claude, or a similar development accelerator.
These Will Help You Stand Out
- Knowledge of secure AI/LLM deployment patterns and cloud-native agent architectures.
- Experience developing advanced multi-agent systems and complex agent orchestration patterns.
- Experience implementing Retrieval-Augmented Generation (RAG) architectures.
- AWS certifications such as AWS Certified AI Practitioner, AWS Certified AI Engineer, or equivalent.
- Experience implementing Responsible AI, AI governance, compliance, enterprise AI security controls, and model evaluation frameworks.
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.
Applications will be accepted until: 10/30/2026
Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
Salary and Other Compensation
The annual salary for this position is between $84,000pa - $130,000pa 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.
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.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
