AI Architecture Strategist

## Qualifications

- The ideal candidate will possess deep expertise in generative AI technologies, a strong understanding of AI ethics, and the ability to collaborate effectively with cross-functional teams

## Responsibilities

- Architectural Design: Develop and maintain the architectural framework for generative AI solutions

- Model Development: Lead the design, training, and deployment of generative AI models (e.g., GPT, DALL-E, Stable Diffusion) tailored to various applications such as content generation, data synthesis, and automation

- Integration: Collaborate with software engineering teams to integrate generative AI capabilities into existing systems and workflows

- Scalability & Performance: Ensure AI solutions are scalable, efficient, and optimized for performance across different platforms and environments

- Ethical AI Practices: Implement and enforce ethical guidelines for AI development and deployment, addressing bias, fairness, and transparency

- Research & Innovation: Stay abreast of the latest advancements in generative AI and related fields, incorporating new techniques and tools into our AI strategy

- Collaboration: Work closely with data scientists, engineers, product managers, and other stakeholders to identify opportunities for AI-driven solutions and ensure successful project delivery

- Documentation & Standards: Create comprehensive documentation for AI architectures, processes, and best practices

- Security: Ensure that generative AI systems comply with security protocols and data protection regulations

- Mentorship: Provide guidance and mentorship to junior team members and foster a culture of continuous learning within the AI team

## Full Description

Job Summary

We are looking for an experienced Generative AI Architect to lead the design, development, and implementation of generative AI solutions. The ideal candidate will possess deep expertise in generative AI technologies, a strong understanding of AI ethics, and the ability to collaborate effectively with cross-functional teams.

Responsibilities:

• Architectural Design: Develop and maintain the architectural framework for generative AI solutions.

• Model Development: Lead the design, training, and deployment of generative AI models (e.g., GPT, DALL-E, Stable Diffusion) tailored to various applications such as content generation, data synthesis, and automation.

• Integration: Collaborate with software engineering teams to integrate generative AI capabilities into existing systems and workflows.

• Scalability & Performance: Ensure AI solutions are scalable, efficient, and optimized for performance across different platforms and environments.

• Ethical AI Practices: Implement and enforce ethical guidelines for AI development and deployment, addressing bias, fairness, and transparency.

• Research & Innovation: Stay abreast of the latest advancements in generative AI and related fields, incorporating new techniques and tools into our AI strategy.

• Collaboration: Work closely with data scientists, engineers, product managers, and other stakeholders to identify opportunities for AI-driven solutions and ensure successful project delivery.

• Documentation & Standards: Create comprehensive documentation for AI architectures, processes, and best practices.

• Security: Ensure that generative AI systems comply with security protocols and data protection regulations.

• Mentorship: Provide guidance and mentorship to junior team members and foster a culture of continuous learning within the AI team.