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Principal AI Architect

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Energy Systems

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Location:
United States , Waukesha

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Principal AI Architect designs, develops and implements advanced AI solutions and architectures that align with the company’s strategic goals and objectives.

Job Responsibility:

  • 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

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)
  • 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 have:

  • 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

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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