AI Solutions Architect

6 days ago


Austin, Texas, United States Poo~Pourri Full time
AI Solutions Architect

We are seeking a visionary AI Solutions Architect to spearhead our AI initiatives, guiding the integration of artificial intelligence into various aspects of our creative solutions business.

You will design AI systems from the ground up, collaborate with multidisciplinary teams to tailor AI solutions to specific business needs, and ensure these solutions are scalable and sustainable.

Your expertise will help us harness the power of AI to drive innovation, improve decision-making, and maintain competitive advantage in our industry.

Key Responsibilities:
  • Design, develop, and oversee the implementation of end-to-end AI solutions
  • Collaborate with business and IT stakeholders to understand and fulfill the AI needs of the organization
  • Create architectural approaches for AI software and hardware integration
  • Define AI solution objectives and ensure alignment with business outcomes
  • Monitor AI industry trends and maintain state-of-the-art industry knowledge
  • Implement best practices for AI testing, deployment, and maintenance
Requirements:
  • Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field
  • Extensive experience in designing AI applications and knowledge of machine learning frameworks like TensorFlow or PyTorch
  • A BA/BS Degree with 6+ years of experience, or a MS Degree with 4+ years of experience, or a Ph.D. with one year of experience, or 8 years of overall experience without a degree
Preferred Qualifications:
  • Machine Learning and AI Principles: Understand the core algorithms, neural networks, and data processing techniques that power AI
  • Programming Proficiency: Be adept in languages such as Python, R, and Java, crucial for building and refining AI models
  • Data Engineering: Navigate vast data lakes with skills in data extraction, transformation, and load (ETL) processes
  • Cloud Computing: Leverage cloud platforms like AWS, Azure, or Google Cloud to scale AI solutions efficiently
  • DevOps Practices: Integrate AI development with continuous integration and deployment pipelines for streamlined delivery
  • Analytics and Business Intelligence: Translate data insights into actionable business strategies


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