AI Architect

Core Responsibilities

• Strategic Planning: Develop AI strategies that align with organizational goals, identifying opportunities for AI adoption 

• System Design: Create robust AI architectures using appropriate technologies, frameworks, and deployment models 

• Collaboration: Work closely with data scientists, machine learning engineers, product teams, and leadership to ensure cohesive development and deployment 

• Evaluation & Optimization: Continuously assess AI system performance, refining algorithms and models for accuracy and efficiency 

• Governance & Compliance: Ensure AI systems meet data governance, security, and regulatory requirements

Skills Required

• Technical Skills: Proficiency in AI/ML frameworks, cloud platforms, data management, and integration technologies.

• Soft Skills: Strong communication, stakeholder management, and the ability to translate business needs into technical solutions.

• Domain Knowledge: Understanding of industry-specific regulations and compliance standards