Principal Data & AI Architect

Generac•Waukesha, WI

About The Position

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.

Requirements

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

Nice To Haves

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.
Relevant certifications such as AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, or Microsoft Certified: Azure AI Engineer Associate.
Experience with generative AI and reinforcement learning.
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.

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.