Job Title – Senior AI/ML Engineer
*Please note this role is not able to offer visa transfer or sponsorship now or in the future*
About the Role
We are seeking a highly skilled Senior AI/ML Engineer to design, develop, and deliver innovative AI-powered solutions that solve complex business challenges at enterprise scale. In this role, you will leverage your expertise in Machine Learning, Natural Language Processing (NLP), Generative AI, and Agentic AI to build production-ready systems that drive business value, accelerate decision-making, and enable intelligent automation.
You will work closely with cross-functional stakeholders, architects, data engineers, and business teams to translate business requirements into scalable, reliable, and governed AI solutions.
In This Role, You Will
- Design, develop, and deploy production-grade AI and Machine Learning solutions.
- Build and maintain advanced Generative AI and Agentic AI applications utilizing multi-agent orchestration frameworks.
- Develop Retrieval-Augmented Generation (RAG) solutions and Natural Language-to-SQL (Text-to-SQL) applications.
- Create and optimize LLM evaluation, monitoring, observability, and governance frameworks.
- Design scalable NLP solutions, including text classification, semantic search, topic modeling, sentiment analysis, and embedding-based applications.
- Develop and deploy machine learning models using statistical and deep learning techniques.
- Build high-performance data pipelines and AI workflows using Python, PySpark, SQL, and cloud-native technologies.
- Implement MLOps best practices including CI/CD, model validation, monitoring, drift detection, and automated quality controls.
- Collaborate with stakeholders to understand business requirements and deliver scalable AI solutions aligned with organizational objectives.
- Ensure AI systems adhere to enterprise governance, security, compliance, and responsible AI standards.
- Contribute to AI platform architecture, solution modernization initiatives, and continuous improvement efforts.
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 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.
What You Need to Have to Be Considered
· Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, or a related field.
· 8+ years of experience in Machine Learning, Artificial Intelligence, Data Science, or related disciplines.
· Strong hands-on experience developing and deploying enterprise AI/ML solutions in production environments.
· Proven experience with Generative AI technologies, including RAG, agent-based systems, prompt engineering, and LLM evaluation.
· Expertise in Python and AI/ML libraries such as PyTorch, TensorFlow, Scikit-Learn, and Hugging Face.
· Experience with LangGraph and/or LangChain for AI application development.
· Strong knowledge of NLP techniques including classification, semantic similarity, embeddings, clustering, and topic modeling.
· Experience designing and implementing scalable data pipelines using SQL and PySpark.
· Experience deploying solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform.
· Knowledge of containerization and orchestration technologies including Docker and Kubernetes.
· Experience implementing MLOps practices, including model deployment, monitoring, validation, CI/CD, and observability.
· Strong communication skills with the ability to translate technical concepts into business value.
Salary and Other Compensation:
Applications will be accepted until October 29, 2026.
The annual salary for this position is between $88,000 - $135,000 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。
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