Analyst, Data & AI Solutions

At AES, our commitment to a sustainable future drives us to explore the frontier of artificial intelligence. As pioneers in clean energy, we harness data, analytics, and cutting-edge agentic AI (autonomous intelligent agents) to optimize operations, anticipate challenges, and accelerate the transition to zero carbon. Joining our Renewables Data, AI & Analytics team means entering an innovative environment where you will help shape next-generation intelligent systems for energy.

Role Overview

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.

Key Responsibilities

• 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.

Qualifications

• 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., TensorFlow, PyTorch); familiarity with SQL and data visualization tools (e.g., Power BI).

• Exposure to agentic AI platforms (e.g., Microsoft Copilot Studio, Google AgentSpace) is a plus.

• Strong communication and interpersonal skills; able to explain technical concepts to non-technical audiences and capture business requirements effectively.

• Demonstrated ability to work cross-functionally and manage multiple priorities.

• Certifications in AI/ML, data analytics, or Responsible AI are desirable.

Preferred Attributes

• Experience with prompt engineering or working with large language models (LLMs).

• Familiarity with cloud platforms (Azure, GCP) and enterprise data environments.

• Strategic mindset with a passion for innovation and continuous learning.

• Ability to work independently and proactively in a fast-paced environment.