Analyst, Data & AI Solutions

Salt Lake, UT - USA

Monthly Salary: Not Disclosed

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

Are you ready to be part of a company thats not just talking about the future but actively shaping it Join The AES Corporation (NYSE: AES) a Fortune 500 company thats 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 youre 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 Agreements 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 youre ready to be part of a company thats not just adapting to change but driving it AES is the place for you. Were not just building a cleaner more sustainable future - were powering it. Apply now and energize your career with a true leader in the global energy transformation.

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

Bachelors degree in Data Science Computer Science Engineering or a related field.

12 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.

AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds differences and perspectives enables us to improve the lives of our people customers suppliers contractors and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex sexual orientation gender gender identity and/or expression race national origin ethnicity age religion marital status physical or mental disability pregnancy childbirth or related medical condition military or veteran status or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary the Department of Homeland Security (DHS) with information from each new employees I-9 to confirm work authorization.

The expected salary for this position at commencement of employment is between $73000 and $88400/Annual; however base pay offered may vary depending on multiple individualized factors including market location job-related knowledge skills and experience. The total compensation package for this position may also include other elements such as annual bonus in addition to a full range of medical dental vision life financial and/or other benefits (including 401(k) eligibility and various paid time off benefits such as vacation sick time and parental leave) dependent on the position offered. Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. If hired employee will be in an at-will position and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time including for reasons related to individual performance Company or individual department/team performance and market factors.

Required Experience:

Are you ready to be part of a company thats not just talking about the future but actively shaping it Join The AES Corporation (NYSE: AES) a Fortune 500 company thats leading the charge in the global energy revolution. With operations spanning 14 countries AES is committed to shaping a future throug...

Role Overview

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

Bachelors degree in Data Science Computer Science Engineering or a related field.

12 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.