Solution Architect - AI & Data - Remote

Discovery Partners
Responsibilities:
  • Lead the design and implementation of AI-driven data solutions, focusing on scalability, performance, and security.
  • Architect end-to-end data pipelines that support AI/ML model deployment and real-time analytics.
  • Collaborate with cross-functional teams, including data engineers, data scientists, and business analysts, to ensure AI solutions meet business needs and comply with data governance standards.
  • Integrate advanced data platforms such as Databricks, Alation, and AI frameworks into the broader data architecture.
  • Oversee the implementation of AI/ML models into production environments, ensuring data quality, consistency, and adherence to privacy/security regulations.
  • Recommend and implement AI and data technologies, including cloud platforms and AI/ML tools, to enhance operational efficiencies and capabilities.
  • Provide leadership and mentorship to data engineering and AI teams, promoting best practices in data management, AI development, and architecture design.
  • Stay updated on emerging AI technologies, frameworks, and trends to continuously improve data-driven solutions.
Qualifications:
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI, or a related field.
  • Minimum of 8 years of experience in data engineering or AI architecture, with a focus on implementing AI/ML solutions.
  • Strong expertise in AI and machine learning frameworks (e.g., TensorFlow, PyTorch), data modeling, and integration techniques.
  • Hands-on experience with AI/ML model deployment, including MLOps pipelines and continuous integration/continuous deployment (CI/CD) practices.
  • Proficiency with Databricks, Alation, and cloud-based data services (e.g., AWS, Azure, GCP).
  • Strong understanding of data governance, security, and compliance practices, especially in the context of AI-driven solutions.
  • Excellent leadership, communication, and collaboration skills with a focus on cross-functional teamwork.
  • Strong analytical and problem-solving skills, with a demonstrated ability to deliver high-quality, scalable AI and data solutions.
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