About AI & Analytics
Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.
By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
Roles & Responsibilities
As a General Artificial Intelligence (Gen AI) Architect, your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the implementation and deployment of AI models and systems.
- Collaborate with product managers, data scientists, software engineers, and other stakeholders to understand business goals and determine AI requirements.
- Design and develop AI architectures, frameworks, and algorithms that can support large-scale and complex AI solutions.
- Evaluate and select appropriate AI technologies, tools, and frameworks to achieve desired performance, accuracy, and scalability.
- Lead the development and implementation of AI models, ensuring adherence to best practices in machine learning and deep learning.
- Develop and maintain AI pipelines, incorporating data cleaning, pre-processing, feature engineering, model training, and validation processes.
- Optimize AI models and systems for performance, scalability, and efficiency.
- Conduct regular code reviews and provide technical guidance to junior members of the team.
- Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization.
- Collaborate with infrastructure teams to ensure smooth deployment and monitoring of AI models in production environments.
- Document AI architectures, design decisions, and technical specifications for reference and knowledge sharing.
Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
- Proven experience (15 years) working as an AI architect, data scientist, or related role.
- Strong knowledge of machine learning, deep learning, and natural language processing (NLP) techniques.
- Proficiency in programming languages such as Python, Java, or C++, and familiarity with popular AI libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).
- Experience in designing and implementing large-scale AI solutions, including data ingestion, storage, processing, and deployment.
- Solid understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms.
- Excellent problem-solving and analytical skills, with the ability to break down complex problems into actionable components.
- Strong communication and collaboration skills, with the ability to work effectively within cross-functional teams.
- Ability to stay updated with the latest advancements in AI technologies, frameworks, and platforms.
- Knowledge of ethical considerations and responsible AI practices is a plus.