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Role : Artificial Intelligence Architect
Location: Houston,Texas(Onsite/5 days a week)
Duration: Long term (Possible Direct Hire)

Job Desccription:
As an Artificial Intelligence Engineer Architect at the client, you will play a crucial role in designing and implementing AI solutions. You will be the mastermind behind client's AI strategy, bridging the gap between theoretical AI concepts and real-world applications. Your responsibilities will include defining the overall AI strategy, aligning it with business goals and objectives, and designing and architecting secure, high-performance AI infrastructure on cloud platforms or on-premises environments.
Responsibilities:
Define the overall AI strategy, aligning it with business goals and objectives.
Design and architect secure, high-performance AI infrastructure on cloud platforms or on-premises environments.
Select and implement appropriate AI frameworks and algorithms for specific business use cases.
Lead and collaborate with AI engineers and data scientists to develop, test, and deploy AI models.
Integrate AI solutions with existing systems and applications.
Monitor and optimize the performance of AI systems, ensuring accuracy, efficiency, and scalability.
Advocate for and implement responsible AI practices, considering ethical implications and potential biases.
Stay current with emerging AI trends and technologies, identifying opportunities for innovation.
Develop and maintain technical documentation for AI systems and architectures.
Qualifications:
Master's degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience).
Minimum 5 years of experience in designing and implementing AI solutions.
Proven experience with leading AI frameworks (TensorFlow, PyTorch, etc.) and programming languages (Python, R).
In-depth knowledge of machine learning algorithms (deep learning, natural language processing, computer vision, etc.).
Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and/or on-premises infrastructure for AI deployments (a plus).
Strong understanding of system design principles and best practices.
Excellent communication, collaboration, and leadership skills.
Ability to translate business needs into technical solutions.
Passion for innovation and a forward-thinking mindset.
Certifications (Preferred)
Professional certifications in AI or machine learning (e.g., AWS Certified Machine Learning Specialty,