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Principal Architect

2 months ago


Bellevue, Washington, United States Acumatica Full time
About Acumatica

Acumatica is a leading innovator in cloud ERP (Enterprise Resource Planning) with customers worldwide. Our industry-specific business management solution is engineered to address real-world needs, featuring intelligent workflows and market-leading usability that enable companies to manage risk, anticipate disruption, and seize new opportunities.

Job Description

We are seeking a highly experienced Cloud AI Architect to join our growing team of talented AI Architects, Machine Learning Engineers, and Data Scientists. As a Cloud AI Architect, you will be responsible for designing and implementing scalable, high-performance, reliable, and cost-effective AI software and services for our Acumatica ERP cloud product.

Key Responsibilities
  • Translate customer requirements into architectural models that operate at large scale with high performance.
  • Create prototypes as a way of demonstrating feasibility of designs and educating stakeholders.
  • Support and mentor a team of highly motivated engineers in design implementations, best practices for AI/ML applications.
  • Lead by example to review code, look for design breaches, provide meaningful and relevant feedback to data scientists and engineers, stay up to date with system changes.
  • Comfortably present and acquire consensus using multiple methods: written diagrams and text, in-person meetings, in-person, and remote presentations to both technical, semi-technical and non-technical audiences.
Requirements
  • 5+ years of experience in architecting and building AI and ML products or platforms in a software product development organization.
  • Designing cloud native services in either GCP, AWS, or Azure.
  • 8+ years of previous software engineering experience with proficiency in: Python, with extensive experience using libraries such as Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, and Keras.
  • Knowledge of traditional machine learning algorithms (e.g., regression, classification, clustering) and generative AI techniques (e.g., GANs, VAEs, transformers) innovative solutions.
  • Knowledge of SQL and experience with database technologies such as Postgres and SQL Server.
Preferred Qualifications
  • Experience in building, optimizing deploying production ML workflows/pipelines at scale. Experience working with cloud-based computing environments.
  • Familiarity with Docker, Kubernetes, and other containerization/orchestration technologies.
  • Education: Master's degree in computer science, Mathematics, Information Systems, or similar field, or equivalent experience.
What We Offer
  • A competitive salary range of $200,000-$250,000 annually.
  • Annual bonus and stock awards based on individual performance.
  • Sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role.
  • Access to healthcare benefits, dental and vision insurance for you and your dependents.
  • Employer-paid Short-term/Long-term Disability and Basic life insurance.