AI Solutions Specialist

Radian Generation; Región Centro; Presencial; MXN 800,000 - 1,000,000; Jornada completa

Descripción de la vacante

A leader in renewable energy services is seeking an AI Solutions Specialist to oversee AI tools and technologies across departments. You will collaborate to propose AI-driven solutions, conduct feasibility assessments, and ensure compliance with security and privacy standards. The ideal candidate has a Bachelor's degree in Computer Science and extensive experience with AI tools and technical guidance.

Formación

• 3-5 years of experience working with AI tools, machine learning models, or intelligent automation platforms.
• Familiarity with industry AI frameworks like NIST AI RMF.
• Proficiency in Python or R.

Responsabilidades

• Evaluate, implement, and support AI tools and technologies across departments.
• Collaborate with stakeholders to identify business needs for AI solutions.
• Conduct feasibility assessments for new AI initiatives.

Conocimientos

AI tools evaluation

Stakeholder collaboration

Feasibility assessments

API development

Technical troubleshooting

Python

Data visualization

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

OpenAI

Microsoft Azure AI

AWS SageMaker

Google Vertex AI

Power BI

Descripción del empleo

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

· Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related field, with 3–5 years of experience working with AI tools, machine learning models, or intelligent automation platforms.

· Familiarity with industry AI frameworks and standards such as NIST AI RMF or ISO/IEC 42001.

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

· Familiarity with AI platforms such as OpenAI, Microsoft Azure AI, AWS SageMaker, or Google Vertex AI.

· Proficiency in Python, R, or other relevant programming languages.

· Experience with integration tools (e.g., Zapier, Power Automate, APIs).

· Understanding of data visualization tools (e.g., Domo, Power BI, Tableau).

Preferred Experience

· Experience leading cross-departmental AI implementations in a corporate or enterprise setting.

· Exposure to MLOps pipelines, prompt engineering, and LLM tuning.

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

· Strong communication and stakeholder management skills.

· Experience with agile project management and iterative deployment models.

· Ability to explain technical AI concepts to non-technical stakeholders.

Physical requirements

· Ability to sit for prolonged periods of time on a computer.