Associate AI & Analytics Engineer

NextEra Analytics offers energy consulting services using industry-leading scientific analysis for planning, siting, forecasting and optimizing all forms of energy projects. Our optimization and analytics platforms integrate open-source technologies to leverage massive, diverse sets of utility operating data. This enables rapid development of operational solutions. Applying expertise in advanced mathematics, data and physical sciences, we solve some of the hardest problems facing the energy industry.

Position Specific Description

We are seeking highly capable individuals who want to combine a passion for artificial intelligence, data engineering, and applied analytics with the opportunity to advance innovation in clean energy.

The ideal candidate brings strong academic credentials, an engineering mindset, and a demonstrated history of being a self-starter—whether through open-source contributions, independent projects, entrepreneurial endeavors, or new initiatives within an organization.

This role reports directly to the Sr. Director of AI & Analytics for NextEra Analytics and will contribute to designing, developing, and deploying AI and analytics solutions that help NextEra remain the most innovative and successful renewable energy company in the world.

A successful candidate thrives in a fluid, entrepreneurial, and high-velocity environment focused on building reusable, scalable software applications, not one-off analytical models. We look for engineers and problem solvers with demonstrated excellence and intellectual curiosity.

Our team is committed to growing meaningful careers. You will work on a wide range of AI/ML, data engineering, and analytics initiatives alongside some of the most creative minds in the energy industry.

Preferred Qualifications and Technologies:

- Experience with modern statistical, machine learning, and AI approaches (classification, regression, feature engineering, optimization, deep learning, and foundation models)

- Programming skills enabling end-to-end engineering work (Python required; SQL, Scala, and a plus)

- Experience with large datasets and distributed computing technologies (Spark, Hive/Hadoop, Ray, or cloud-native equivalents)

- Experience with contemporary AI frameworks, including both traditional ML and Generative AI (scikit-learn, PyTorch, TensorFlow, Spark MLlib, Hugging Face Transformers, LangChain, LlamaIndex, DSPy)

- Familiarity with LLMOps and AI system development (prompt engineering, retrieval-augmented generation, evaluation frameworks, vector databases)

- Experience working with agentic or autonomous AI frameworks and multi-agent orchestration (e.g., LangGraph, CrewAI, or similar tools)

- Knowledge of statistical techniques, experimental design, and model evaluation methodologies

- Ability to present information and insights using modern visualization techniques and tools (e.g., Plotly, Power BI, Tableau)

Core Responsibilities

- Develop AI, machine learning, and analytical solutions tailored to high-value business challenges.

- Build pipelines to gather, process, and validate large datasets across distributed environments.

- Implement and maintain scalable data and model pipelines using modern engineering practices.

- Optimize model and application performance, monitor accuracy, and build tools for observability.

- Extend company data by integrating third-party or external data sources when appropriate.

- Conduct ad-hoc analyses and communicate insights to key decision-makers.

- Participate in full-stack model deployment, from prototyping to productionized services.

- Support the development of reusable internal platforms and AI/ML tooling.

Job Overview

This position is responsible for developing algorithms, modeling techniques, and optimization methods that support many aspects of NextEra and FPL business. Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (i.e., “Big Data”).

Job Duties & Responsibilities

- Develops machine learning, optimization and other modeling solutions

- Prepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses

- Works with big data and distributed computing platforms

- Develops software and contributes to product development

- Performs other job-related duties as assigned

Required Qualifications

- Bachelor's Degree

- Experience: 0+ years

Preferred Qualifications

- Master's Degree

NextEra Energy offers a wide range of benefits to support our employees and their eligible family members. Click here to learn more.

Employee Group: Exempt Employee Type: Full Time Job Category: Science, Research, and Technology Organization: NextEra Analytics, Inc Relocation Provided: Yes, if applicable

NextEra Energy is an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to race, color, age, national origin, religion, marital status, sex, sexual orientation, gender identity, gender expression, genetics, disability, protected veteran status or any other basis prohibited by law.

NextEra Energy provides reasonable accommodation in its application and selection process for qualified individuals, including accommodations related to compliance with conditional job offer requirements, consistent with federal, state, and local laws. Supporting medical or religious documentation will be required where applicable and permitted by applicable law. To request a reasonable accommodation, please send an e-mail to recruiting-coordinator.sharedmailbox@nexteraenergy.com, providing your name, telephone number and the best time for us to reach you. Alternatively, you may call 1-844-694-4748. Please do not use this line to inquire about your application status.

NextEra Energy will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

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