AI Solutions Specialist

Radian Generation is a global provider of critical technology-forward services designed specifically to support the comprehensive lifecycle of renewable facilities—including solar, wind, and energy storage.

Who We Serve

Radian Generation’s wide range of commercial, technical, and compliance services provide developers, owners, and operators with critical insights into each aspect of their assets to make better-informed decisions.

Radian Generation is committed to supporting greater diversity in the renewable energy industry. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

JOB SUMMARY

The AI Solutions Specialist will oversee the evaluation, implementation, and support of AI tools and technologies across departments, collaborate on proposing AI-driven solutions, and conduct feasibility assessments and pilot programs for new AI initiatives. Additionally, the AI Solutions Specialists will provide technical guidance, maintain documentation, and manage relationships with AI vendors while ensuring compliance with security and privacy standards.

Role and Responsibilities

• Evaluate, implement, and support AI tools and technologies across departments.
• Collaborate with stakeholders to identify business needs and propose AI-driven solutions.
• Conduct feasibility assessments and pilot programs for new AI initiatives.
• Stay current with AI trends and standards (e.g., NIST AI RMF, ISO / IEC 42001) to recommend innovative solutions.
• Ensure all AI tools comply with security, privacy, and data governance standards.
• Develop and maintain APIs and integrations between AI platforms and enterprise systems.
• Define and monitor KPIs to assess AI tool performance, accuracy, and business impact.
• Provide technical guidance, troubleshooting, and root cause analysis for AI solutions.
• Support model training, fine-tuning, and prompt engineering for department use cases.
• Track and respond to AI system drift, performance degradation, or misuse.
• Establish internal guidelines for ethical AI use, including acceptable use and audit policies.
• Evaluate and manage AI vendor relationships to align with technical and compliance needs.
• Conduct risk assessments for AI implementations that influence automation or decision-making.
• Maintain clear documentation, best practices, and deployment workflows.

Required Qualification & Education

Relevant certifications preferred (e.g., Microsoft Certified : Azure AI Engineer Associate, Google Cloud Professional Machine Learning Engineer, or equivalent). Required Software Knowledge

Preferred Experience

Familiarity with security, compliance, and governance tools used alongside AI (e.g., DLP, IAM, model audits).

Physical requirements

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