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AI Architect

1 month ago


Milwaukee, Wisconsin, United States Forsyth Barnes Full time
Job Title: AI Architect

We are seeking a highly skilled AI Architect to join our team at Forsyth Barnes. As an AI Architect, you will be responsible for designing, developing, and implementing comprehensive solutions in data science and machine learning.

Key Responsibilities:
  1. Design end-to-end AI solutions tailored to address specific business requirements, choosing appropriate algorithms, models, and technologies for each application.
  2. Provide expert-level guidance to data scientists, ensuring alignment with coding standards, cutting-edge algorithms, and architectural principles.
  3. Define the overall architecture for AI systems, including data pipelines, model training workflows, inference frameworks, and integration with existing IT infrastructures.
  4. Lead the creation and optimization of machine learning models, ensuring they are high-performing, scalable, and interpretable.
  5. Evaluate and recommend the latest AI tools, technologies, and frameworks that best align with project needs.
  6. Collaborate with product managers to identify and build fit-for-purpose model architectures.
  7. Partner with domain experts, data engineers, and software developers to integrate AI capabilities into applications and business processes.
  8. Leverage deep expertise in generative AI frameworks to create scalable, high-performance AI solutions.
  9. Implement MLOps/AIOps best practices to manage the entire lifecycle of ML and LLMs.
  10. Keep abreast of the latest advancements in AI and continuously enhance the performance and capabilities of AI solutions.
  11. Improve AI models for efficiency, speed, and accuracy using techniques such as hyperparameter tuning, model compression, and deployment strategies.
  12. Ensure AI systems adhere to data protection regulations, security standards, and ethical guidelines.
Requirements:
  • Master's degree in Data Science, AI, Machine Learning, or a related field (Ph.D. preferred).
  • 8-10 years of hands-on experience in statistics, engineering, machine learning, or AI, with a strong focus on AI architecture, GenAI technologies, and MLOps.
  • Proficient in programming languages like Python, R, PySpark, or Scala, with deep experience using AI frameworks and GenAI-specific tools.
  • Extensive understanding of MLOps concepts including versioning, automated workflows, deployment strategies, and continuous model monitoring.
  • Strong analytical skills, with the ability to break down complex technical ideas and communicate them effectively to different stakeholders.
  • Preferred: Certifications in AI, ML, or Generative AI platforms.

If you're passionate about driving innovation in AI architecture and MLOps practices, this position offers a dynamic and collaborative environment for excelling in Generative AI and advanced ML solutions.