Principal Solutions Architect

The Principal Solutions Architect designs AI solutions tailored to media-specific needs. This role involves creating innovative and scalable AI architectures, collaborating with cross-functional teams, and ensuring the successful deployment and integration of AI solutions.

• Design and develop AI solutions that meet media-specific needs and business objectives.
  
• Create and maintain AI architecture blueprints, ensuring scalability, performance, and security.
  
• Collaborate with product managers, engineers, data scientists, and other stakeholders to define solution requirements and ensure alignment with project goals.
  
• Conduct technical assessments and feasibility studies to identify the best AI technologies and approaches for specific use cases.
  
• Develop and maintain documentation for AI architectures, including design patterns, guidelines, and best practices.
  
• Monitor and evaluate the performance of deployed AI solutions, making necessary adjustments to optimize performance.
  
• Stay updated with the latest advancements in AI technologies and best practices, applying them to enhance solution designs.
  
• Provide technical leadership and guidance to engineering teams, ensuring adherence to architectural standards and best practices.
  
• Prepare and present technical proposals and reports to senior management and stakeholders.
  
• Participate in strategic planning and contribute to the development of departmental goals.
  
• Perform other duties relevant to the job as assigned by the Head of AI Products & Development or senior management.
  

• Bachelor’s degree in Computer Science, Information Technology, or a related field
  
• Relevant certifications (e.g., AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect) are preferred
  
• Minimum of 8 years of experience in solutions architecture or related fields
  
• Experience in designing AI or technology-focused solutions
  
• Strong architecture and design skills
  
• Excellent communication and interpersonal skills
  
• Proficiency in AI technologies and frameworks (e.g., TensorFlow, PyTorch)
  
• Strong problem-solving and analytical skills
  
• Ability to manage multiple tasks and prioritize effectively
  
• In-depth understanding of AI architectures and design patterns
  
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services
  
• Knowledge of data governance, security, and regulatory standards
  
• Ability to drive innovation and foster a culture of continuous improvement
  
• Strong attention to detail and commitment to delivering high-quality work
  
• Ability to work independently and as part of a team
  
• AI technologies and frameworks (e.g., TensorFlow, PyTorch)
  
• Cloud platforms (e.g., AWS, Azure, Google Cloud)
  
• Architecture design tools (e.g., Lucidchart, Microsoft Visio)
  
• Collaboration and communication tools (e.g., Slack, Microsoft Teams)
  
• Data analysis and reporting tools (e.g., Excel, Power BI)