Principal Architect

Cognizant•San Jose, CA

13d•$140,000 - $170,000•Hybrid

About The Position

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world. This position is only open to candidates who do not require visa sponsorship now or in the future. Visa-dependent candidates are not eligible for this role. Job Title: Gen AI Location: San Jose, CA Employment Type: Full-Time Industry: Technology · The Principal Architect role is pivotal in driving the companys technological advancements in AI and ML. With a focus on MLOps and AWS Machine Learning the candidate will leverage their expertise to design and implement cutting-edge solutions. · This hybrid position requires a deep understanding of Docker Kubernetes and Terraform ensuring seamless integration and deployment of AI models.

Requirements

Possess extensive experience in MLOps and AWS Machine Learning demonstrating a strong track record of successful project delivery.
Have a deep understanding of Docker and Kubernetes with proven ability to manage containerized applications effectively.
Demonstrate proficiency in AI and ML concepts with hands-on experience in deploying models using Amazon Sagemaker.
Exhibit expertise in Terraform for infrastructure management ensuring robust and scalable environments.
Show proficiency in GIT for version control facilitating collaborative and efficient development processes.
Hold a solid foundation in machine learning and artificial intelligence with the ability to apply these skills to real-world scenarios.
Display strong analytical skills capable of interpreting complex data sets and deriving actionable insights.

Responsibilities

Lead the design and development of scalable AI and ML solutions using AWS Machine Learning and Amazon Sagemaker to enhance business operations.
Oversee the implementation of MLOps practices to streamline model deployment and monitoring processes ensuring high efficiency and reliability.
Provide technical guidance on Docker and Kubernetes to optimize containerization and orchestration of machine learning applications.
Collaborate with cross-functional teams to integrate AI and ML concepts into existing systems driving innovation and improving user experiences.
Develop and maintain Terraform scripts for infrastructure as code ensuring consistent and reproducible environments for machine learning projects.
Implement version control strategies using GIT to manage code repositories and facilitate collaborative development efforts.
Analyze complex data sets to extract meaningful insights applying advanced machine learning techniques to solve business challenges.
Ensure compliance with industry standards and best practices in AI and ML safeguarding data privacy and security.
Drive continuous improvement initiatives by staying updated with the latest advancements in artificial intelligence and machine learning technologies.
Facilitate workshops and training sessions to upskill team members on AI and ML concepts fostering a culture of learning and innovation.
Monitor and evaluate the performance of deployed models making necessary adjustments to optimize accuracy and efficiency.
Collaborate with stakeholders to define project requirements and deliver solutions that align with business objectives and customer needs.
Contribute to the companys strategic vision by identifying opportunities for AI-driven solutions that enhance societal impact.