Lead Artificial Intelligence (AI) Engineer

Description

We are looking for a highly experienced Lead Artificial Intelligence (AI) Engineer to spearhead the development and implementation of cutting-edge AI and Machine Learning solutions within our organization. This role is integral to driving innovation, optimizing operational processes, and delivering impactful business outcomes across various projects. As a senior technical expert, you will collaborate with cross-functional teams to design scalable systems, set technical standards, and mentor emerging talent in AI engineering.

Responsibilities:
Design, develop, and deploy production-ready AI and machine learning solutions tailored to renewable energy planning, construction optimization, and risk management.
Establish and enforce technical standards for AI/ML development, MLOps pipelines, and the management of model lifecycles.
Collaborate with IT and data teams to ensure AI systems are secure, scalable, and seamlessly integrated into the enterprise environment.
Work closely with business stakeholders to translate strategic goals into practical AI applications that drive measurable results.
Lead initiatives to explore and implement generative AI, predictive analytics, and optimization technologies to enhance forecasting and operational efficiency.
Mentor and guide technical teams, fostering knowledge-sharing and the adoption of best practices in AI development.
Evaluate emerging AI tools and technologies to ensure the organization remains at the forefront of innovation.
Oversee the deployment and scaling of AI models in production environments, ensuring performance and reliability.
Drive the development of automation solutions using AI to streamline processes and improve productivity.
Collaborate with partners and vendors to integrate AI solutions effectively into existing systems.

Requirements

Bachelor's degree in Computer Science, Data Science, or a related field.

At least 10 years of experience in AI engineering, machine learning, or related areas.

Expertise in developing, deploying, and scaling AI/ML models in production environments, with a preference for Azure AI ecosystem.

Proficiency in programming languages such as Python and frameworks like TensorFlow.

Strong knowledge of predictive analytics, computer vision, and automation technologies.

Proven ability to work collaboratively with technical and business teams to achieve shared goals.

Familiarity with cloud technologies and AI model deployment processes.

Experience with tools and platforms such as Microsoft Power Automate and React.

**This person must be willing to travel to Minnesota once a month**

Technology Doesn't Change the World, People Do.

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