Generac

Principal AI Architect

Principal AI Architect
Notice info
LocationWaukesha, WI
Job Typefull time
On-site
Electric Power Generation

About This Job

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 Responsibilities

Leads the design and development of AI architectures, including machine learning models, deep learning frameworks, and generative AI systems

Defines technical strategies and roadmaps for AI-driven projects ensuring alignment with business objectives
Collaborates with data scientists, data engineers, business functional and product teams to integrate AI solutions into production environments
Advises and oversees the evaluation and adoption of AI technologies, tools, and platforms
Serves as the technical leader and mentor to AI and engineering teams
Delivers scalable, secure, and optimized AI solutions
Leads analytic literacy of the organization and serves as a translator of deep technical concepts into simple business vernacular
Leads industry trends and advancements in AI to help maintain a competitive edge
Communicates complex technical concepts to non-technical stakeholders effectively.


Minimum Job Requirements

Bachelors Degree in Computer Science or other related program
8 or more years of experience in AI, machine learning, or data science, with at least 4 years in a senior or lead architect role
Proven track record of designing and deploying large-scale AI systems in production environments
Experience leading cross-functional teams in the delivery of complex AI projects
Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn)


Knowledge / Skills / Abilities

Must be deeply curious, desire to experiment
Expertise in machine learning algorithms, Neural networks, Genetic Algorithms, Decision trees, Business dynamic models, Agent based models, Advanced statistical techniques and operations research
Strong proficiency in programming languages such as Python, R, or Java
Ability to design scalable, secure, and efficient AI architectures
Exceptional problem-solving and analytical skills
Strong leadership and mentorship abilities, with a focus on fostering innovation and collaboration
Excellent communication skills, capable of translating technical concepts to diverse audiences
Ability to work in a fast-paced, dynamic environment and manage multiple priorities


Preferred Job Requirements Education

Ph.D. In Operations Research, Data Science, or a closely related field
Master’s degree in a relevant field with significant research or project work in AI or machine learning


Certification / License

Relevant certifications such as AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, or Microsoft Certified: Azure AI Engineer Associate


Work Experience

Experience with generative AI and reinforcement learning


Knowledge / Skills / Abilities

Publications or patents in AI, machine learning, or related fields
Familiarity with DevOps practices and MLOps pipelines for AI deployment
Experience in industries such as healthcare, finance, or technology

Physical 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.”

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