Principal Data & AI Architect

Generac; Waukesha (WI); On-site; USD 180,000 - 230,000; Full time

Job summary

Generac is seeking a Principal Data & AI Architect to design, develop, and implement advanced data and AI solutions that align with our strategic goals in Wisconsin. You will lead enterprise data/MDM architectures, ML models, DL frameworks, and generative AI systems, deploying them across cloud and on-premises while guiding cross-functional teams.

The ideal candidate has 8+ years in AI, a Masters or PhD, hands-on cloud experience (AWS/Azure/GCP), strong leadership, and excellent ability to

Qualifications

• 8+ years of experience in AI, data science, or related fields.
• Proven ability to lead cross-functional teams and deliver production AI systems.
• Experience with enterprise data architectures and MDM.

Responsibilities

• Design and implement scalable Data & AI architectures for enterprise use.
• Oversee model development, validation, and deployment in cloud and on-prem environments.
• Collaborate with data scientists, engineers, and product teams to operationalize AI.
• Mentor teams and communicate complex concepts to non-technical stakeholders.

Skills

Data architecture

AI systems

Cloud platforms

Leadership

Communication

Education

Master's degree in Computer Science or related

PhD in related field

Tools

AWS

Azure

GCP

TensorFlow

PyTorch

scikit-learn

MDM

Job description

The Principal Data & AI Architect will be responsible for designing, developing, and implementing advanced Data & AI solutions and architectures that align with the company’s strategic goals and objectives.

This role requires deep technical expertise, leadership, and the ability to collaborate across cross-functional teams to deliver scalable and innovative AI solutions.

Major Responsibilities :

• Lead the design and development of Data & AI architectures, including designing and architecting Enterprise data/MDM solutions, machine learning models, deep learning frameworks, and generative AI systems. Responsible for analyzing, implementing and deploying these solutions both on-premises and in the cloud.
• Define technical strategies and roadmaps for Data & AI-driven projects, ensuring alignment with business objectives.
• Collaborate with data scientists, data engineers, business functional and product teams to integrate Data & AI solutions into production environments.
• Advice, oversee the evaluation and adoption of Data & AI technologies, tools, and platforms.
• Serve as the technical leader and mentor to Data & AI and engineering teams.
• Deliver scalable, secure, and optimized Data & AI solutions.
• Lead Data & analytic literacy of the organization and serve as a translator of deep technical concepts into simple business vernacular.
• Be aware and lead industry trends and advancements in Data & AI to help maintain a competitive edge.
• Communicate complex technical concepts to non-technical stakeholders effectively.

This is an individual contributor role.

Education

• Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field also acceptable.

Work Experience

• 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 Data & 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 Requirements And Working Conditions

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 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.