About the role
As an Agentic AI Developer, you will make an impact by designing, building, and deploying intelligent AI agents that enable autonomous reasoning, decision-making, and workflow execution at enterprise scale. You will be a valued member of our AI engineering team and work collaboratively with architects, data engineers, platform teams, business stakeholders, and client-facing technology teams to deliver innovative AI-powered solutions.
In this role, you will:
Design and develop AI agents capable of task planning, contextual reasoning, tool utilization, and multi-step execution.
Build and deploy single-agent and multi-agent systems using frameworks such as LangChain, Semantic Kernel, CrewAI, AutoGen, or similar technologies.
Develop Generative AI solutions leveraging Large Language Models (LLMs), including Azure OpenAI, OpenAI, Anthropic, and related platforms.
Implement Retrieval-Augmented Generation (RAG) solutions and integrate vector databases to enhance knowledge retrieval, semantic search, and contextual grounding.
Integrate AI agents with enterprise platforms, APIs, data ecosystems, and business applications while ensuring security, scalability, performance, and responsible AI practices.
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.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field.
3–8 years of experience in software engineering, data engineering, machine learning, or a related technical discipline.
Hands-on experience developing Generative AI or LLM-powered applications in production environments.
Strong proficiency in Python and experience with AI/ML libraries and frameworks such as OpenAI SDK, Hugging Face, Transformers, or similar.
Experience building AI agent solutions using frameworks such as LangChain, Semantic Kernel, CrewAI, AutoGen, or comparable technologies.
Experience implementing RAG pipelines, embeddings, semantic search, and vector database solutions.
Knowledge of REST APIs, microservices architecture, and enterprise application integration patterns.
Experience working with cloud platforms such as Azure, AWS, or GCP, including AI services such as Azure OpenAI and Azure AI Studio.
Ability to design scalable, secure, and reliable AI solutions while adhering to responsible AI and data privacy standards.
These will help you stand out
Experience designing multi-agent orchestration and planner-executor architectures.
Experience integrating AI solutions with enterprise platforms such as Databricks, Snowflake, Synapse, CRM systems, ERP platforms, or ServiceNow.
Knowledge of workflow orchestration tools such as Airflow or Prefect.
Experience with containerization and cloud-native technologies, including Docker and Kubernetes.
Exposure to knowledge graphs, semantic reasoning, observability frameworks, and AI evaluation methodologies.
Industry experience within Insurance, Financial Services, or other highly regulated enterprise environments.
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.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Salary and Other Compensation:
Applications will be accepted until July 26, 2026.
The annual salary for this position is between $ 98,000 - $ 115,000 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
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。
