Gen AI Architect (Remote)

Description

Generative Artificial Intelligence Architect (Remote)

As a Gen AI Architect your primary role is to design and develop artificial intelligence systems that have the capability to learn, reason, and make decisions autonomously. You will be responsible for the architecture and infrastructure required, to build and deploy AI technologies that can adapt and evolve based on various data inputs and user interactions. Your expertise in AI algorithms, machine learning, and neural networks will be essential in creating intelligent systems that can solve complex problems.

Our developers are agile and retrospective, and not afraid to identify what we're doing wrong, so we can fix it, so we can improve on it. Above all, we judge success by the success of our team and the happiness of our customers.

We are waiting for you!

Location: This role is remote and open to any US location, the role may require some occasional travel

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

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:

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

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

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

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

5. Comprehension of AI concepts, algorithms, and methodologies.

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

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

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

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

10. 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 $201K - $220K 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%