About the role
As a Senior Generative AI Engineer, you will make an impact by designing, developing, and deploying scalable generative AI and advanced analytics solutions on cloud platforms. You will collaborate with technical program managers, engineering leads, developers, and client stakeholders to translate business requirements into reliable, production-ready AI applications.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position in Bentonville, AR. Regardless of your working arrangement, we are here to support a healthy work-life balance though 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.
Important Disclaimers:
**Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs.**
**Candidate must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future**
In this role, you will:
- Design and implement scalable generative AI, machine learning, and analytics solutions for deployment on Microsoft Azure or Google Cloud Platform.
- Translate business requirements into effective technical solutions and lead technical conversations with program managers, engineering leads, and other stakeholders.
- Develop high-quality applications using established coding standards, automated unit testing, and project-defined code coverage requirements.
- Build and optimize retrieval-augmented generation pipelines, prompt-based solutions, fine-tuned models, and agentic AI workflows.
- Support solutions through testing, production deployment, monitoring, troubleshooting, and ongoing performance improvement.
- Document application architecture, technical designs, and service specifications while providing technical guidance to developers.
What you need to have to be considered
- 6 or more years of software engineering, data, analytics, machine learning, or artificial intelligence experience, including hands-on experience with generative AI solutions.
- Strong programming experience with Python and SQL, along with experience developing production-ready applications.
- Hands-on experience with generative AI frameworks such as LangChain, LlamaIndex, or LangGraph.
- Experience developing solutions using large language model APIs, such as OpenAI, Anthropic, or Google Gemini.
- Practical experience with prompt engineering, retrieval-augmented generation pipelines, agentic workflows, tool calling, and multi-agent systems.
- Experience deploying AI or analytics applications on Microsoft Azure or Google Cloud Platform.
These will help you stand out
- Experience with open-source models and ecosystems such as Llama 3, Mistral, and Hugging Face.
- Experience with vector databases such as Pinecone, Chroma, or Milvus.
- Knowledge of generative AI evaluation approaches and tools such as TruLens, Ragas, and LLM-as-a-judge.
- Experience fine-tuning, evaluating, monitoring, and improving large language model applications in production environments.
- Additional software development experience with Java.
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.
Salary and Other Compensation:
The annual salary for this position is between $68,000 – $114,000 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.
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.
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.
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。
