About the role
As a Senior AI / Machine Learning Engineer, you will make an impact by designing and delivering cutting-edge generative AI–driven applications and enterprise-grade ML solutions. You will be a valued member of the engineering team and work collaboratively with architects, developers, and business stakeholders to bring AI-powered solutions to life.
In this role, you will:
Design and develop AI-powered web applications using technologies such as.NET, React, and Python
Build agentic AI solutions to automate software development lifecycle stages including requirement analysis, coding, testing, and deployment
Develop and optimize prompt engineering strategies and leverage orchestration frameworks such as LangChain or LlamaIndex
Train, fine-tune, and deploy large language models (LLMs) and generative AI models for performance, scalability, and cost efficiency
Architect and implement RAG (Retrieval-Augmented Generation) pipelines and integrate AI APIs into enterprise systems
Develop ML models integrated with ASP.NET applications, including building C# APIs and REST/gRPC endpoints for inference
Manage and preprocess structured and unstructured datasets to improve model quality and reduce bias
Monitor and maintain AI solutions in production using LLMOps practices, ensuring compliance with data privacy and ethical standards
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, with an associated location in Plano, TX. 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.
What you need to have to be considered
3+ years of machine learning engineering experience with hands-on model development and deployment
Strong programming skills in Python and ASP.NET/C#
Experience working with Azure cloud platform (2+ years)
Experience deploying and maintaining production-grade ML systems
Experience building APIs and integrating ML models into enterprise applications
These will help you stand out
Experience in the financial services or fintech domain
Bachelor’s degree in computer science, Machine Learning, Statistics, or related field
Experience working in financial services organizations (3+ years)
Deep expertise in Azure ecosystem and AI services
Relevant Azure certifications (AZ-204, AZ-305, or similar)
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.
Please note: This role will require an in-person meet and greet at our Cognizant offices or client location.
Applications will be accepted until June 1st, 2026.
Salary and Other Compensation:
The annual salary for this position is between $81,337 to $141,500 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。
