Senior Architect Jobs
By Asenium At Connecticut, United States
Work closely with business stakeholders to gather integration requirements and translate them into technical solutions using Dell Boomi.
Responsible for designing, developing, and implementing integration solutions using the Dell Boomi platform.
Expertise in architecture, integration patterns, Play pivotal role in the success of our integration projects.
You will collaborate with cross-functional teams.
Architect integration solutions that consider data transformation, error handling, security, and performance optimization.
Troubleshoot and resolve technical issues related to integration processes.

Are you an experienced AI Architect looking for a new challenge? We are looking for a Senior AI Architect to join our team and help us create innovative solutions to complex problems. You will be responsible for designing and developing AI-based solutions that will drive our business forward. If you have a passion for AI and a track record of success, we want to hear from you!

A Senior AI Architect is responsible for designing, developing, and deploying AI solutions for a variety of applications. They must have a deep understanding of AI technologies, algorithms, and architectures, and be able to apply them to solve complex problems.

What is Senior AI Architect Skills Required?

• Expertise in AI technologies, algorithms, and architectures
• Ability to develop and deploy AI solutions
• Knowledge of machine learning, deep learning, natural language processing, computer vision, and other AI technologies
• Experience with programming languages such as Python, Java, C++, and R
• Knowledge of cloud computing platforms such as AWS, Azure, and GCP
• Ability to work with large datasets
• Excellent communication and problem-solving skills

What is Senior AI Architect Qualifications?

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 5+ years of experience in AI development
• Experience with AI frameworks such as TensorFlow, PyTorch, and Caffe
• Experience with big data technologies such as Hadoop, Spark, and Kafka

What is Senior AI Architect Knowledge?

• Knowledge of AI principles and best practices
• Understanding of AI algorithms and architectures
• Knowledge of AI development tools and frameworks
• Understanding of data engineering and data science