Director of AI Solutions Engineering at PwC overseeing development teams for comprehensive AI solutions. Leading technical vision and stakeholder relationships while ensuring operational excellence in AI - driven projects.
About the role
- Analyst position focused on designing and deploying AI solutions within AES Corporation's Clean Energy sector. Collaborating on strategic AI/ML projects and stakeholder engagement.
Responsibilities
- Collaborate with stakeholders across engineering, operations, and business teams to capture and document requirements for AI/ML and agentic AI projects.
- 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).
- Lead or support strategic meetings with internal teams to ideate AI use cases, present solution options, and align initiatives with business goals.
- Prepare executive-level presentations, reports, and documentation
Requirements
- 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
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Life insurance
- Financial benefits including 401(k)
- Annual bonus
- Paid time off including vacation, sick time, and parental leave
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