Generative Artificial Intelligence Architect (Remote)

Key Skills

Aartificial intelligence, Algorithms, Analytical and Problem solving, Apache Hadoop, AWS, Azure, Big Data Technology, Data cleaning / Data cleansing, Data science techniques, Deep Learning, Generative AI, Google Cloud Platform (GCP), Java Programming, Keras software library, Machine learning techniques, Python Programming, PyTorch, R Programming, SPARK Programming, TensorFlow

Job Description

Key Responsibilities:

• AI System Architecture: Design and develop the architecture and infrastructure for AI systems, including data storage, processing, and retrieval mechanisms. Ensure scalability, flexibility, and efficiency of the system to handle large volumes of data and complex algorithms.

• Algorithm Development: Develop and implement advanced AI algorithms and models, including machine learning, deep learning, and neural networks. Continuously evaluate and improve algorithms to enhance system performance and accuracy.

• Data Integration: Identify relevant data sources and design methods for data collection, integration, cleansing, and transformation. Collaborate with data scientists and engineers to ensure quality and relevance of data for AI model training.

• Model Training and Evaluation: Train AI models using supervised, unsupervised, or reinforcement learning techniques. Implement evaluation methodologies to measure the performance and effectiveness of trained models. Fine-tune models based on feedback and data insights.

• Neural Network Design: Design and optimize deep learning neural networks for various AI tasks, such as natural language processing, computer vision, recommendation systems, and predictive analytics. Implement innovative architectures and techniques to improve model accuracy and efficiency.

• System Integration: Collaborate with software developers and engineers to integrate AI systems into existing platforms or applications. Ensure seamless communication and compatibility between AI components and other software modules.

• Ethical and Responsible AI: Ensure alignment to ethical AI practices, such as fairness, transparency, and accountability. Address biases and potential risks associated with AI systems to ensure responsible deployment and usage.

• Research and Innovation: Stay updated with the latest advancements in AI technologies, frameworks, and algorithms. Conduct research and experimentation to explore new approaches and techniques that can enhance AI capabilities.

• Collaboration and Communication: Collaborate with multi-functional teams, including data scientists, software engineers, and business partners, to define AI requirements and deliver AI solutions that meet business objectives. Communicate complex AI concepts and solutions effectively to both technical and non-technical team members.

Qualifications:

• A Bachelor's or equivalent experience or Master's degree in Computer Science, Artificial Intelligence, or related field.

• Proven experience in designing and developing AI systems, including machine learning, deep learning, and neural networks.

• Strong programming skills in languages such as Python, R, or Java. Familiarity with AI libraries, frameworks, and tools such as TensorFlow, PyTorch, or Keras.

• Solid understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms.

• Comprehension of AI concepts, algorithms, and methodologies.

• Knowledge of designing large scale AI solutions, data integration, cleansing, and transformation techniques.

• Familiarity with BigData platforms and technologies, such as Hadoop or Spark.

• Excellent problem-solving and analytical skills, with the ability to think creatively and provide innovative solutions.

• Strong communication and collaboration skills to work effectively in multidisciplinary teams.

• Knowledge of ethical AI practices and regulations is a plus.

Salary and Other Compensation:

Applications will be accepted until 3/06/2024

The annual salary for this position is between $225K-$325K 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.

Travel: 0-5%

Employee Status : Full Time Employee

Shift : Day Job

Travel : No

Job Posting : Feb 06 2024

About Cognizant

Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @USJobsCognizant.

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.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

If you have a disability that requires a reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.