Principal AI Architect

Generac

  • Waukesha, WI
  • Permanent
  • Full-time
  • 1 month ago
We are Generac, a leading energy technology company committed to powering a smarter world.Over the 60 plus years of Generac’s history, we’ve been dedicated to energy innovation. From creating the home standby generator market category, to our current evolution into an energy technology solutions company, we continue to push new boundaries.The Principal AI Architect designs, develops and implements advanced AI solutions and architectures that align with the company’s strategic goals and objectives.Major ResponsibilitiesLeads the design and development of AI architectures, including machine learning models, deep learning frameworks, and generative AI systemsDefines technical strategies and roadmaps for AI-driven projects ensuring alignment with business objectivesCollaborates with data scientists, data engineers, business functional and product teams to integrate AI solutions into production environmentsAdvises and oversees the evaluation and adoption of AI technologies, tools, and platformsServes as the technical leader and mentor to AI and engineering teamsDelivers scalable, secure, and optimized AI solutionsLeads analytic literacy of the organization and serves as a translator of deep technical concepts into simple business vernacularLeads industry trends and advancements in AI to help maintain a competitive edgeCommunicates complex technical concepts to non-technical stakeholders effectively.Minimum Job RequirementsBachelors Degree in Computer Science or other related program8 or more years of experience in AI, machine learning, or data science, with at least 4 years in a senior or lead architect roleProven track record of designing and deploying large-scale AI systems in production environmentsExperience leading cross-functional teams in the delivery of complex AI projectsHands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn)Knowledge / Skills / AbilitiesMust be deeply curious, desire to experimentExpertise in machine learning algorithms, Neural networks, Genetic Algorithms, Decision trees, Business dynamic models, Agent based models, Advanced statistical techniques and operations researchStrong proficiency in programming languages such as Python, R, or JavaAbility to design scalable, secure, and efficient AI architecturesExceptional problem-solving and analytical skillsStrong leadership and mentorship abilities, with a focus on fostering innovation and collaborationExcellent communication skills, capable of translating technical concepts to diverse audiencesAbility to work in a fast-paced, dynamic environment and manage multiple prioritiesPreferred Job RequirementsEducationPh.D. In Operations Research, Data Science, or a closely related fieldMaster’s degree in a relevant field with significant research or project work in AI or machine learningCertification / LicenseRelevant certifications such as AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, or Microsoft Certified: Azure AI Engineer AssociateWork ExperienceExperience with generative AI and reinforcement learningKnowledge / Skills / AbilitiesPublications or patents in AI, machine learning, or related fieldsFamiliarity with DevOps practices and MLOps pipelines for AI deploymentExperience in industries such as healthcare, finance, or technologyPhysical Demands: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee must occasionally lift up to 25 - 50 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision and ability to adjust focus. Occasional travel.“We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.”

Generac