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A leading technology firm is seeking a Generative AI Architect to design and implement AI-powered applications. This fully remote position requires expertise in AI disciplines, model fine-tuning, and collaboration with cross-functional teams to develop scalable solutions. Ideal candidates will have a strong background in computer science and relevant experience in AI technologies.
Job Title: IT - Applications Development - Generative AI Architect
Job Description:
As a Generative AI Architect, you will play a key role in designing, developing, and deploying AI-powered applications. You will work closely with cross-functional teams to build scalable, efficient, and innovative solutions that integrate seamlessly into our technology stack. Your expertise in model fine-tuning, retrieval-augmented generation (RAG) architecture, and multi-agent systems will be crucial to our AI initiatives.
Key Responsibilities:
o Design, develop, and implement generative AI models and algorithms to solve complex problems.
o Fine-tune pre-trained models to enhance their performance and adapt them to specific tasks.
o Develop and integrate Retrieval-Augmented Generation (RAG) architectures to improve model performance by leveraging external data sources.
o Design and implement multi-agent systems to facilitate complex AI interactions and enhance automation capabilities.
o Work collaboratively with data scientists, UX/UI designers, and product managers to create end-to-end AI-driven applications.
o Develop and maintain robust, scalable, and efficient full-stack applications using modern technologies.
o Integrate AI models into existing systems and ensure smooth deployment and operation.
o Optimize AI models and full-stack applications for performance and scalability.
o Stay up-to-date with the latest advancements in AI and full-stack development to continually enhance our technology stack.
o Troubleshoot and resolve issues related to AI models and application performance.
o Contribute to the creation and maintenance of documentation for AI models and applications.
Qualifications:
o Bachelor s or Master s degree in Computer Science, Engineering, or a related field.
REQUIRED EXPERIENCE:
o Experience with natural language processing, computer vision, or other AI disciplines relevant to generative AI.
o Knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes.
o Experience with database technologies such as SQL and NoSQL databases.
o Understanding of CI/CD pipelines and tools.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.