Analyst, Data & AI Solutions

Overview

Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation (NYSE: AES), a Fortune 500 company that's leading the charge in the global energy revolution. With operations spanning 14 countries
, AES is committed to shaping a future through innovation and collaboration. Our dedication to innovation has earned us recognition as one of the Top Ten Best Workplaces for Innovators by Fast Company in 2022. And with our certification as a Great Place to Work
, you can be confident that you're joining a company that values its people just as much as its groundbreaking ideas.

AES is proudly ranked #1 globally in renewable energy sales to corporations, and with $12.7B in revenues in 2023
, we have the resources and expertise to make a significant impact as we provide electricity to 25 million customers worldwide. As the world moves towards a net-zero future, AES is committed to meeting the Paris Agreement's goals by 2050. Our innovative solutions, such as 24/7 carbon-free energy for data centers, are setting the pace for rapid, global decarbonization.

If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you. We're not just building a cleaner, more sustainable future - we're powering it. Apply now and energize your career with a true leader in the global energy transformation.

We are seeking a strategic and technically capable Analyst, Data & AI Solutions to support the design, development, and deployment of AI/ML and agentic AI initiatives across the Clean Energy business. This role blends data science expertise with business analysis and stakeholder engagement, enabling the organization to accelerate AI-driven innovation while reducing the operational burden on leadership.

The ideal candidate will be able to identify and document AI/ML project requirements, contribute to solution development, and lead strategic conversations with stakeholders. This position is critical to shaping the early stages of AI initiatives and supporting the creation of strategic presentations, standards, and processes.

• AI/ML Requirements Gathering: Collaborate with stakeholders across engineering, operations, and business teams to capture and document requirements for AI/ML and agentic AI projects. Translate business needs into technical specifications and use cases.
• Solution Development Support: Assist in prototyping and developing AI/ML models and intelligent agents using platforms such as Microsoft Copilot Studio, Python, and cloud-based tools (Azure, GCP). Support integration of AI solutions into operational workflows.
• Stakeholder Engagement: Lead or support strategic meetings with internal teams to ideate AI use cases, present solution options, and align initiatives with business goals. Act as a liaison between technical teams and business units.
• Strategic Presentation & Documentation: Prepare executive-level presentations, reports, and documentation that summarize project scope, value, and progress. Support the Data & AI Solutions Manager in communicating standards, processes, and strategic roadmaps.
• Responsible AI & Governance: Uphold principles of Responsible AI including fairness, transparency, and safety. Ensure solutions comply with internal governance frameworks and ethical standards.
• Monitoring & Iteration: Track performance of deployed AI/ML solutions and agents. Collect feedback, monitor KPIs, and assist in iterative improvements to enhance business impact.

• Bachelor's degree in Data Science, Computer Science, Engineering, or a related field.
• 1-2 years of experience in data science, machine learning, or AI (including internships or academic projects).
• Proficiency in Python and relevant ML libraries (e.g., Tensor Flow, PyTorch); familiarity with SQL and data visualization tools (e.g., Power BI).
• Exposure to agentic AI platforms (e.g., Microsoft Copilot Studio, Google Agent Space) is a plus.
• Strong communication and interpersonal skills; able to explain technical concepts to non-technical audiences and capture business requirements effectively.
• Dem…