About The Position

The Principal Member of Technical Staff, AI serves as a senior technical leader responsible for driving the architecture, development, and deployment of advanced artificial intelligence solutions across Environmental Solutions Group. This role blends deep technical expertise with strategic vision, guiding the organization in leveraging AI to enhance product capabilities, optimize operations, and create innovative, data‑driven solutions. The position requires mastery of machine learning, embedded AI, and large-scale system design, along with the ability to mentor engineering teams and influence long-term technology direction.

Requirements

  • Bachelor’s Degree or equivalent experience is required; Master’s or Ph.D. in Computer Science, AI/ML, Data Science, or related field preferred.
  • 10+ years of experience in AI/ML engineering, data science, or advanced software development.
  • Proven expertise in machine learning, deep learning, computer vision, or natural language processing.
  • Strong proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, ONNX, or similar.
  • Demonstrated experience architecting and deploying AI systems in production environments.
  • Solid understanding of cloud platforms, MLOps, and scalable data pipelines.
  • Strong analytical, problem‑solving, and communication skills.
  • Ability to influence technical direction at an organizational level and lead cross‑functional initiatives.

Nice To Haves

  • Experience with embedded AI, edge computing, or real‑time inference systems is highly desirable.
  • Track record of innovation, patents, publications, or contributions to open‑source AI projects is a plus.

Responsibilities

  • Lead the design, development, and implementation of advanced AI and machine learning models for embedded, cloud, and edge‑based systems.
  • Architect scalable AI platforms, pipelines, and frameworks that support production‑grade deployment across multiple product lines.
  • Partner with product, engineering, and executive leadership to define AI strategy, roadmap, and technical standards.
  • Conduct research and evaluate emerging AI technologies, tools, and methodologies to drive innovation and competitive advantage.
  • Provide expert guidance on data engineering, model training, validation, optimization, and lifecycle management.
  • Collaborate with cross‑functional teams to integrate AI capabilities into hardware, software, and IoT systems.
  • Lead root‑cause analysis and resolution of complex AI‑related technical challenges.
  • Establish best practices for responsible AI, model governance, and system reliability.
  • Mentor and coach engineers, fostering a culture of technical excellence and continuous learning.
  • Represent the organization as a subject‑matter expert in AI at internal and external technical forums.

Benefits

  • The Company offers competitive salaries, advancement opportunities, and a full range of benefits, including paid vacation, 401(k), medical, dental, and vision.
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