Enterprise Architect/Developer

Summary

We are seeking a skilled and experienced Gen AI Enterprise Architect to design and implement the architecture for our company's Gen AI system over a 3-month period remotely in Canada. The architect will work closely with cross-functional teams to ensure that the Gen AI system aligns with the company's strategic goals.

Requirements

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
• Proven experience as an enterprise architect, preferably in the AI or machine learning domain
• Strong understanding of AI technologies, including natural language processing, machine learning algorithms, and deep learning frameworks
• Proficiency in designing and implementing scalable and distributed systems
• Experience with cloud platforms such as Azure (must have), AWS or Google Cloud, and related services
• Knowledge of data integration techniques and technologies, such as ETL, data pipelines, and data lakes
• Familiarity with security and compliance requirements in AI systems

Responsibilities

• Architectural Design: Design the overall architecture of the Gen AI system, including its components, modules, and integration points
• Technology Evaluation: Evaluate and select the appropriate technologies and tools required for the Gen AI system
• Data Integration: Collaborate with data engineering teams to define data integration strategies and ensure seamless data flow between various systems
• Performance Optimization: Identify and address performance bottlenecks within the Gen AI system
• Security and Compliance: Work closely with the security and compliance teams to ensure that the Gen AI system adheres to industry standards and best practices
• Collaboration and Communication: Collaborate with cross-functional teams to gather requirements, provide technical guidance, and communicate architecture and design decisions to stakeholders

Preferred Qualifications

Excellent communication and collaboration skills to effectively work with cross-functional teams and stakeholders