Position Overview
Cognizant is seeking a highly skilled and innovative AI Engineer to join our AI & Data Science team. The ideal candidate will have exposure in Python, and SQL and will be responsible for data exploration and AI development. This role involves designing and developing scalable AI solutions and data pipelines for structured, semi-structured, and unstructured data, enabling advanced analytics and intelligent automation across the organization.
Key Responsibilities
- Build, train, and deploy machine learning and deep learning models, including Generative AI (e.g., LLMs, diffusion models) and Agentic AI solutions.
- Perform data exploration, feature engineering, and statistical analysis to support model development.
- Ingest, process, and analyze structured (e.g., relational databases), semi-structured (e.g., JSON, XML), and unstructured data (e.g., text, images, logs) from diverse sources using Python, SQL
- Collaborate with data scientists, engineers, and business stakeholders to understand requirements and deliver impactful AI solutions.
- Develop and maintain technical documentation, data dictionaries, and model cards.
- Monitor, troubleshoot, and optimize AI models and data workflows for performance and scalability.
- Ensure compliance with data governance, security, and privacy policies.
- Stay current with the latest advancements in AI, Generative AI, and Agentic AI technologies.
- Familiarity with MLOps practices
Required Skills & Qualifications
- A bachelor's or master's degree in computer science, data science, artificial intelligence, or a related discipline
- A portfolio of personal projects, academic work, or contributions to open-source projects that demonstrate your AI skills.
- Exposure in programming skills in Python and SQL
- Good problem-solving, analytical, and communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders
- Knowledge with cloud AI/ML platforms (e.g., AWS SageMaker, Azure ML, GCP Vertex AI) and Agentic frameworks (Langgraph, Lang chain, Crew.ai etc.)
- Hands-on experience with at least one AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face)
- Understanding of core machine learning concepts, algorithms, and models (e.g., supervised vs. unsupervised learning, regression, classification, clustering)
- Solid understanding of Generative AI (e.g., LLMs, GANs) and Agentic AI concepts
- Familiarity with essential libraries for data science and machine learning (e.g., Pandas, NumPy, scikit-learn)
- Knowledge of containerization and CI/CD pipelines (e.g., Docker, Kubernetes)
- Understanding of data security, encryption, and compliance best practices
- Ability to work independently and collaboratively in a fast-paced environment
Location
New hires will be hired at the Cognizant office in Plano, TX or Teaneck, NJ, where you will work alongside other experienced Cognizant associates delivering technology solutions. Applicants must be willing to relocate to this major geographic area. While we attempt to honor candidate location preferences, business needs and position availability will determine final location assignment.
Start Date
New hires will start in January or February 2026. While we will attempt to honor candidate start date preferences, business need and position availability will determine final start date assignment. Exact start date will be communicated with enough time for you to plan effectively.
Salary and Other Compensation:
Applications are accepted on an ongoing basis.
The annual salary for this position is $65,000.00 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.
Why Choose Us?
Cognizant delivers solutions that draw upon the full power and scale of our associates. You will be supported by high-caliber experts and employ some of the most advanced and patented capabilities. Our associate’s diverse backgrounds offer multifaceted perspectives and fuel new ways of thinking. We encourage lively discussions which inspire better results for our clients.
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 hourly rate, 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.
Work Authorization
Due to the nature of this position, Cognizant cannot provide sponsorship for U.S. work authorization (including participation in a CPT/OPT program) for this role.
Cognizant is always looking for top talent. We are searching for candidates to fill future needs within the business. This job posting represents potential future employment opportunities with Cognizant. Although the position is not currently available, we want to provide you with the opportunity to express your interest in future employment opportunities with Cognizant. If a job opportunity that you may be qualified for becomes available in the future, we will notify you. At that time you can determine whether you would like to apply for the specific open position. Thank you for your interest in Cognizant career opportunities.
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。