Gen-AI Architect

Global Business Ser. 4u; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

An innovative firm is seeking a Gen-AI Architect to design and implement cutting-edge Generative AI solutions. This role involves leveraging advanced AI technologies to create scalable models that drive business innovation. You will collaborate with cross-functional teams to ensure seamless integration of AI capabilities and provide mentorship to team members. If you are a forward-thinking professional with a passion for AI and a commitment to continuous learning, this opportunity is perfect for you. Join a dynamic environment where your contributions will shape the future of AI technology.

Qualifications

• Bachelor's degree in Computer Science or related field; Master's preferred.
• Minimum of [X years] experience in AI architecture and implementation.

Responsibilities

• Design robust architectures for Generative AI applications.
• Oversee development of AI models and ensure quality standards.

Skills

Generative AI technologies

TensorFlow

PyTorch

Python

R

Education

Bachelor's degree in Computer Science

Master's degree in a related field

Tools

AWS

Azure

Google Cloud

Job description

1. Job Purpose

To design and implement Generative AI solutions that align with business objectives and drive innovation. The Gen-AI Architect will leverage advanced AI technologies and frameworks to develop scalable and efficient models, ensuring optimal performance and integration within existing systems.

2. Key Responsibilities

1. Architecture Design:
   Design robust and scalable architectures for Generative AI applications.
   Define best practices for model development, deployment, and maintenance.
2. Technology Selection:
   Evaluate and select appropriate AI technologies and frameworks (e.g., TensorFlow, PyTorch, OpenAI GPT, etc.) for specific use cases.
   Stay current with emerging technologies in the AI landscape.
3. Model Development:
   Oversee the development of Generative AI models, ensuring they meet quality and performance standards.
   Collaborate with data scientists and engineers to optimize model training and deployment.
4. Integration:
   Ensure seamless integration of AI solutions with existing systems and workflows.
   Collaborate with software development teams to implement AI capabilities in applications.
5. Documentation and Standards:
   Create and maintain architectural documentation, including design specifications and technical guidelines.
   Establish coding and documentation standards for AI development.
6. Mentorship and Training:
   Provide technical leadership and mentorship to team members on Generative AI practices.
   Conduct training sessions and workshops to share knowledge and best practices.

3. Qualifications

• Education: Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. A Master's degree is preferred.
• Experience: Minimum of [X years] of experience in AI architecture and implementation, specifically with Generative AI technologies.
  Proven track record of delivering successful AI projects from conception to deployment.
• Technical Skills: Strong knowledge of AI frameworks (e.g., TensorFlow, PyTorch, Keras) and Generative AI models (e.g., GANs, VAEs, Transformers).
  Proficiency in programming languages commonly used in AI (e.g., Python, R).
• Architectural Knowledge: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for AI deployment.
  Understanding of data engineering, data pipelines, and database technologies.

4. Personal Attributes

• Innovative Thinker: Ability to explore new ideas and drive creative solutions.
• Collaborative: Strong interpersonal skills to work effectively with cross-functional teams.
• Analytical Mindset: Ability to analyze complex problems and design effective architectural solutions.
• Continuous Learner: Commitment to staying updated on advancements in AI and related technologies.