Sr AI Human-centered Design Strategist

📍 Job Overview

Job Title: Sr AI Human-centered Design Strategist

Company: NextEra Energy

Location: Juno Beach, FL, USA

Job Type: Full Time

Category: Technology / Design Operations

Date Posted: 2026-06-24

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

• Lead the strategic integration of AI tools and design systems to ensure the quality, consistency, and trustworthiness of AI-generated user interfaces and code.

• Own and govern the Enterprise Design System (EDS) and AI toolchain, enforcing accessibility, interaction quality, and brand standards for AI-driven design outputs.

• Optimize design and development cycles by leveraging AI for first-pass generation, reducing rework, and accelerating delivery timelines for digital products.

• Implement and manage a robust "Human-in-the-Loop" validation process, enabling designers to refine, improve, and continuously learn from AI-generated drafts.

• Drive rapid prototyping and proof-of-concept development using modern AI tools and frameworks to quickly validate innovative ideas and demonstrate business value.

📝 Enhancement Note: This role is positioned at a senior level, focusing on strategic oversight and governance of AI within design processes. It requires a blend of deep design expertise, AI tool proficiency, and strong leadership to manage the intersection of AI and established design systems, particularly within a large enterprise context like NextEra Energy. The emphasis on "accountable design lead" highlights a critical need for someone to own the outcomes of AI in design.

📈 Primary Responsibilities

• Protect UX Quality & Trust: Proactively identify and mitigate risks associated with AI-generated design outputs, preventing fragmentation and ensuring adherence to established user experience principles and brand integrity.

• Govern the Design System: Actively manage and evolve the Enterprise Design System (EDS) to incorporate AI functionalities, ensuring AI tools utilize approved components and adhere to accessibility and interaction quality gates.

• Optimize Design Cycles: Champion and implement strategies that leverage AI to significantly reduce design cycle times, minimize rework through AI-assisted validation and refinement, and improve overall output quality and adoption rates.

• Implement "Human-in-the-Loop" Validation: Design, develop, and operationalize a structured process for human oversight and validation of AI-generated design drafts, fostering continuous quality improvement and AI model refinement.

• Lead Rapid Prototyping: Spearhead the creation of proof-of-concept (POC) prototypes using cutting-edge AI tools and frameworks (e.g., Figma Make, Claude, Google Stitch) to rapidly test and validate new design concepts and demonstrate their potential business impact.

• Develop AI Governance and Safety Guardrails: Define, implement, and maintain automated governance policies and safety guardrails to ensure all AI-generated content, including UI elements and code, consistently meets brand, legal, privacy, and safety standards.

• Establish and Track Success Metrics: Define, monitor, and report on key performance indicators (KPIs) for AI-driven design initiatives, focusing on metrics like design-cycle efficiency gains, output consistency, error reduction rates, and user adoption.

• Evangelize AI Solutions: Effectively communicate complex AI concepts, design trade-offs, and the value proposition of AI-powered design solutions to diverse audiences, including non-technical stakeholders, fostering organizational adoption and understanding.

• Collaborate on Digital Experiences: Work cross-functionally with product management and development teams to define and implement innovative user experiences for web and other digital channels, guiding the graphical user interface design from concept to hand-off.

• Guide Developers: Provide clear direction and guidance to software developers on implementing designed UI/UX concepts, including modifications to HTML, CSS, and JavaScript where necessary, to ensure faithful execution of the intended user experience.

📝 Enhancement Note: The responsibilities highlight a dual focus: strategic AI governance and hands-on design execution. The emphasis on "Enterprise Design System" and "AI Toolchain" suggests a need for deep understanding of how AI can integrate with existing, mature design infrastructure. The "Human-in-the-Loop" and "Rapid Prototyping" aspects point to a need for agile methodologies and a proactive approach to innovation.

🎓 Skills & Qualifications

Education:

• Bachelor's Degree in a related field (e.g., Design, Human-Computer Interaction, Computer Science, or a related discipline).

• Professional certifications in AI Product Design (e.g., from Designlab, BrainStation, NN/g, IDEO U) or Human-Centered AI (e.g., from MIT, Brown, Uxcel) are highly preferred.

• High School Diploma or GED is a minimum requirement. Experience:

• Minimum of 4+ years of progressive experience in user interface (UI) and user experience (UX) design, with a strong emphasis on digital product development.

• 5-10 years of overall experience is anticipated for a Senior-level strategist role, with a proven track record of integrating AI into user-facing applications. Required Skills:

• Human-Centered Design: Deep expertise in applying human-centered design principles to create intuitive, effective, and engaging user experiences across digital platforms.

• Enterprise Design Systems (EDS): Proven ability to manage, govern, and leverage enterprise-level design systems, ensuring consistency and scalability.

• AI Governance & Safety: Experience in developing and implementing AI governance frameworks, safety guardrails, and ethical AI practices for design outputs.

• Rapid Prototyping: Proficiency in rapid prototyping tools and methodologies, with hands-on experience using modern AI-powered design and development tools (e.g., Figma Make, Claude, Google Stitch).

• User Interface (UI) & User Experience (UX) Design: Comprehensive skills in all stages of UI/UX design, from conceptualization to final hand-off to development.

• Visual Design: Strong aesthetic sense and ability to create compelling visual designs that align with brand guidelines and enhance usability.

• HTML, CSS, JavaScript: Foundational understanding and practical experience in these core web technologies to effectively collaborate with developers and understand implementation possibilities.

• Stakeholder Management: Excellent ability to communicate complex ideas, influence decisions, and build consensus with diverse stakeholders, including technical and non-technical teams.

Preferred Skills:

• Technical AI Experience: Hands-on experience with Large Language Model (LLM) architectures, Retrieval-Augmented Generation (RAG) systems, and advanced prompt engineering techniques.

• AI Product Design Certifications: Active and relevant certifications demonstrating specialized knowledge in AI-driven design methodologies.

• UX Quality Assurance: Experience in defining and enforcing quality gates for UX, ensuring high standards are met, especially in AI-generated content.

• Accessibility Standards: In-depth knowledge of accessibility guidelines (e.g., WCAG) and experience ensuring AI outputs comply with these standards.

• KPI Tracking & Analysis: Ability to define, track, and analyze Key Performance Indicators (KPIs) related to design efficiency, AI output quality, and user adoption.

📝 Enhancement Note: The preferred qualifications strongly suggest a need for candidates who have not only design skills but also a technical understanding of AI, particularly LLMs and RAG. The "proven track record of shipping AI-integrated products" implies a need for candidates who can demonstrate tangible results from previous AI design initiatives. The requirement for a Bachelor's degree alongside "4+ years" of experience, with an AI-specific role, points towards a need for a solid theoretical foundation combined with practical application.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• AI Integration Case Studies: Showcase a minimum of 2-3 detailed case studies demonstrating successful integration of AI tools or methodologies into the design process for user-facing applications or digital products.

• Process Optimization Examples: Provide clear examples of how AI was used to optimize design cycles, reduce rework, or improve the efficiency of design workflows, quantifying the impact where possible.

• Design System Governance: Include examples of how you have managed, contributed to, or enforced adherence to an Enterprise Design System (EDS), particularly in the context of AI-generated assets.

• Human-in-the-Loop Implementation: Illustrate a process or workflow where human validation and refinement were critical components of an AI-assisted design or development cycle.

• Proof-of-Concept Demonstrations: Present a proof-of-concept (POC) or prototype developed using AI tools to quickly validate an idea, highlighting the tools used and the insights gained.

• ROI Demonstration: For relevant projects, clearly articulate the return on investment (ROI) achieved through AI integration, focusing on metrics such as time savings, cost reduction, or improved user adoption.

Process Documentation:

• Workflow Design & Optimization: Document the design and optimization of workflows that incorporate AI, detailing the steps, tools, and human roles involved in AI-assisted design processes.

• Implementation & Automation Methods: Provide evidence of how AI solutions were implemented and automated within design pipelines, including the integration with existing systems like EDS.

• Measurement & Performance Analysis: Showcase methodologies used to measure the performance of AI-driven design processes, including the definition and tracking of KPIs, and analysis of results to drive continuous improvement.

📝 Enhancement Note: For this senior role, a portfolio is crucial for demonstrating practical application of AI in design. Candidates should focus on case studies that highlight their ability to govern AI, maintain quality standards, and drive efficiency. The emphasis on "shipping products" means the portfolio should feature completed projects rather than just conceptual work.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for Senior AI/Design Strategists in the Juno Beach, Florida area, with 5-10 years of experience, the estimated salary range is between $130,000 and $170,000 annually. This estimate considers the specialized nature of AI integration, human-centered design expertise, and the strategic responsibilities of the role. Benefits:

• Comprehensive Health, Dental, and Vision Insurance: Coverage for employees and eligible family members.

• Retirement Savings Plan: 401(k) plan with company match, designed to support long-term financial security.

• Paid Time Off (PTO): Generous vacation, sick leave, and holiday pay to promote work-life balance.

• Professional Development: Opportunities for training, certifications, and attendance at industry conferences to support continuous learning in AI and design.

• Employee Assistance Program (EAP): Confidential support services for personal and professional challenges.

• Life and Disability Insurance: Financial protection for employees and their families.

• Wellness Programs: Initiatives and resources to support employee health and well-being.

• Tuition Reimbursement: Support for continuing education relevant to career growth. Working Hours:

• Standard full-time work schedule, typically 40 hours per week. While the role is on-site, there may be flexibility in daily start and end times, subject to team and project needs. Occasional overtime may be required to meet project deadlines or critical system demands.

📝 Enhancement Note: Salary range is an estimation based on market data for similar roles in Florida, considering the senior level and specialized AI/Design focus. Comprehensive benefits are typical for large utility companies like NextEra Energy. The "Exempt" status indicates the role is not eligible for overtime pay under FLSA.

🎯 Team & Company Context

🏢 Company Culture

Industry: Energy / Utilities. NextEra Energy is a leading clean energy company, focused on generation, transmission, and distribution of electricity, with a significant emphasis on innovation and sustainability. This context means operations must be reliable, efficient, and increasingly digitally integrated.

Company Size: Large Enterprise (likely 10,000+ employees based on typical utility company scale). This size implies a structured environment with established processes, significant resources, and opportunities for broad impact.

Founded: Florida Power & Light Company was founded in 1925. NextEra Energy was formed in 1984. This long history suggests a stable organization with deep roots and a commitment to long-term operational excellence.

Team Structure:

• Operations Focus: This role sits within the Information Technology department, likely reporting into a Design or Digital Experience leadership function.

• Cross-functional Collaboration: The role necessitates close collaboration with Product Management, Software Development teams, AI/ML specialists, Legal, Privacy, and potentially Marketing and Brand teams to ensure AI-driven design outputs align with enterprise-wide objectives and standards.

• AI Integration Team: It's probable there's a dedicated or emerging team focused on AI strategy and implementation, with this role serving as a key design lead within that ecosystem.

Methodology:

• Data-Driven Design: Emphasis on using data and analytics to inform design decisions, measure impact, and continuously improve AI-driven design processes.

• Agile & Iterative Development: Application of agile methodologies for rapid prototyping, iterative development, and continuous feedback loops, especially in AI implementation.

• Process Optimization: A core focus on identifying inefficiencies in design and development workflows and leveraging AI and human oversight to drive significant improvements.

Company Website: https://www.nexteraenergy.com/

📝 Enhancement Note: NextEra Energy's position as a major utility provider means operational excellence, reliability, and adherence to strict regulatory standards are paramount. The integration of AI into design must support these core values, ensuring that innovation does not compromise safety, efficiency, or customer trust.

📈 Career & Growth Analysis

Operations Career Level: Senior Strategist. This role is a key individual contributor position with significant strategic influence. It requires a high degree of autonomy and expertise in a specialized, emerging field (AI in Design).

Reporting Structure: Likely reports to a Director or VP level within IT, Design, or Digital Transformation, overseeing design operations and AI integration. The role will manage direct reports or lead project teams, depending on organizational structure.

Operations Impact: This role has a direct impact on the efficiency and quality of digital product development, influencing speed to market, user adoption, and overall customer experience. By ensuring AI outputs align with enterprise standards, it protects brand integrity and reduces long-term maintenance costs.

Growth Opportunities:

• Leadership in AI Design: Potential to grow into a leadership role managing an AI Design Center of Excellence, shaping the future of AI integration across the organization.

• Specialized Skill Development: Opportunities to deepen expertise in cutting-edge AI technologies, prompt engineering, LLM applications, and advanced design system management.

• Cross-Departmental Influence: Ability to influence strategic decisions in product development, technology adoption, and digital transformation initiatives across the company.

• Industry Recognition: Potential to contribute to industry best practices and thought leadership in the rapidly evolving field of AI-human-centered design.

📝 Enhancement Note: This role offers a significant opportunity for career advancement in a high-demand field. The growth path is likely towards leadership in AI strategy, design operations management, or digital transformation. The company's focus on innovation suggests a fertile ground for developing and showcasing advanced skills.

🌐 Work Environment

Office Type: Traditional corporate office environment. The role is based at the Juno Beach, Florida headquarters, which likely includes modern office facilities.

Office Location(s): Juno Beach, FL. This location is the corporate headquarters for NextEra Energy, suggesting a professional and well-resourced workplace.

Workspace Context:

• Collaborative Environment: The workspace will likely support collaborative design sessions, brainstorming meetings, and cross-functional team interactions, essential for integrating AI into design processes.

• Tools and Technology: Access to industry-standard design software, AI prototyping tools, and enterprise systems will be provided. The role will require proficiency in these tools and an aptitude for adopting new technologies.

• Team Interaction: Opportunities to engage with a diverse team of designers, developers, product managers, and AI specialists, fostering knowledge sharing and continuous learning.

Work Schedule:

• The standard 40-hour work week is expected, with the role being on-site. While core hours will be established, there may be some flexibility to accommodate project needs and optimize design workflow efficiency, particularly when working with AI tools that operate asynchronously.

📝 Enhancement Note: As an on-site role at a corporate headquarters, the environment is expected to be professional and conducive to focused work and collaboration. The emphasis on AI integration suggests a forward-thinking and technologically enabled workspace.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter will review applications and resumes for basic qualifications.

• Hiring Manager Interview: A discussion focused on experience, strategic thinking, and fit for the role and team. Candidates should be prepared to discuss their approach to AI in design.

• Portfolio Review & Technical Interview: A session where candidates present their portfolio, focusing on AI integration case studies. This will likely involve deep dives into their process, technical skills, and problem-solving abilities related to AI governance, EDS, and rapid prototyping.

• Cross-functional Stakeholder Interview: Meeting with key collaborators from Product Management, Development, or other relevant departments to assess communication, collaboration skills, and ability to influence across teams.

• Final Interview: A concluding interview, potentially with a senior leader, to confirm fit and discuss final terms.

Portfolio Review Tips:

• Highlight AI Integration: Clearly articulate your role and contributions in projects where AI was used to enhance design processes or outputs. Quantify impact whenever possible (e.g., % reduction in design time, % improvement in consistency).

• Showcase Process & Governance: Detail your methodology for integrating AI, including how you managed the Enterprise Design System, implemented human-in-the-loop validation, and established AI governance guardrails.

• Demonstrate Rapid Prototyping: Present examples of POCs or prototypes built with AI tools. Explain the problem, the solution, the tools used, and the key learnings or validation achieved.

• Address UX Quality & Trust: For each relevant project, explain how you ensured the quality and trustworthiness of AI-generated designs, including adherence to accessibility and brand standards.

• Tailor to NextEra Energy: Research NextEra Energy's digital presence and any known AI initiatives. Frame your experience in a way that demonstrates how you can contribute to their specific goals in the energy sector.

Challenge Preparation:

• AI Prompt Engineering Scenario: Be prepared for a scenario where you might need to outline how you would prompt an AI tool to generate specific UI elements or code snippets, considering brand guidelines and accessibility.

• Design System Integration Challenge: You may be asked to outline a strategy for integrating a new AI design tool into an existing, complex Enterprise Design System.

• Governance Framework Discussion: Anticipate questions about how you would design or refine AI governance policies for design outputs, ensuring safety, legal, and privacy compliance.

📝 Enhancement Note: The interview process is designed to assess strategic thinking, technical AI/design skills, and collaborative capabilities. A strong portfolio that clearly demonstrates hands-on experience with AI in design, governance, and impact measurement is critical.

🛠 Tools & Technology Stack

Primary Tools:

• AI Design & Prototyping Tools: Figma (with potential AI plugins like Figma Make), Adobe Creative Suite (with AI features), Claude, Google Stitch, or similar LLM-based generative design platforms.

• Enterprise Design System (EDS) Management Tools: Familiarity with platforms for managing design tokens, components, patterns, and documentation (e.g., Zeroheight, Storybook, internal EDS platforms).

• Prototyping & Collaboration Platforms: Figma, Sketch, InVision, Axure, or similar tools for creating interactive prototypes and facilitating collaboration.

Analytics & Reporting:

• Web Analytics Tools: Google Analytics, Adobe Analytics, or similar for understanding user behavior on digital platforms.

• Data Visualization Tools: Tableau, Power BI, or similar for creating dashboards and reporting on KPIs related to design efficiency and AI output quality.

• User Feedback Platforms: Tools for collecting and analyzing user feedback (e.g., Hotjar, SurveyMonkey, UserTesting.com).

CRM & Automation:

• CRM Systems: Familiarity with how CRM data (e.g., Salesforce) might inform design decisions or user segmentation, though direct CRM management is unlikely to be a primary focus.

• Workflow Automation Tools: Understanding of how tools like Zapier, Make (formerly Integromat), or internal automation scripts can streamline design processes, especially in conjunction with AI.

• Project Management Software: Jira, Asana, Trello, or similar for managing design projects and tracking progress.

📝 Enhancement Note: Proficiency with AI-powered design tools and a deep understanding of Enterprise Design Systems are paramount. The role requires someone who can bridge the gap between cutting-edge AI capabilities and established enterprise design infrastructure, leveraging analytics to measure success.

👥 Team Culture & Values

Operations Values:

• Innovation & Future-Forward: A commitment to exploring and integrating new technologies like AI to drive progress and maintain a competitive edge in the energy sector.

• Quality & Reliability: A strong emphasis on delivering high-quality, reliable digital experiences that align with NextEra Energy's reputation for operational excellence.

• Collaboration & Partnership: Valuing teamwork and effective communication across departments to achieve shared goals in design, development, and AI implementation.

• Data-Driven Decision Making: Relying on data, metrics, and user insights to inform strategic decisions, measure impact, and drive continuous improvement in AI-assisted design processes.

• User-Centricity: Maintaining a focus on the end-user's needs and experience, ensuring AI integration enhances, rather than detracts from, usability and trust.

Collaboration Style:

• Proactive & Communicative: Engaging actively with stakeholders, proactively sharing updates, and clearly articulating complex concepts related to AI and design.

• Empirical & Iterative: Approaching challenges with a data-informed mindset, testing hypotheses, and embracing iterative refinement based on feedback and performance metrics.

• Knowledge Sharing: Fostering an environment where best practices, learnings from AI implementations, and design insights are shared across teams.

• Constructive Feedback: Open to providing and receiving constructive feedback to drive continuous improvement in design processes and AI tool utilization.

📝 Enhancement Note: The culture likely reflects NextEra Energy's status as a large, established, yet innovative company. Expect a blend of structured processes with an openness to new technologies, emphasizing collaboration and data-driven outcomes.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Innovation with Governance: The primary challenge will be to integrate rapidly evolving AI tools and capabilities without compromising established enterprise design standards, brand consistency, and regulatory compliance.

• Ensuring AI Trust and Reliability: Building and maintaining user trust in AI-generated outputs requires robust validation, transparency, and a clear understanding of AI limitations.

• Cross-Functional Alignment: Gaining buy-in and ensuring consistent adoption of AI-driven design strategies across diverse departments with varying levels of AI understanding and priorities.

• Rapid Technological Evolution: Keeping pace with the accelerating advancements in AI design tools and methodologies requires continuous learning and adaptation.

Learning & Development Opportunities:

• Advanced AI/ML Training: Access to specialized courses, workshops, and certifications in AI product design, LLMs, RAG systems, and prompt engineering.

• Design System Evolution: Opportunities to contribute to the strategic evolution of the Enterprise Design System to accommodate AI-generated components and workflows.

• Leadership Development Programs: Participation in leadership training to hone skills in managing teams, influencing strategy, and driving organizational change.

• Industry Conferences & Networking: Attending leading AI and UX conferences to stay abreast of industry trends, share insights, and network with peers.

📝 Enhancement Note: The role is at the forefront of AI integration in design, offering significant opportunities to shape future processes. The key challenges revolve around managing complexity, ensuring quality, and driving adoption in a large enterprise.

💡 Interview Preparation

Strategy Questions:

• "Describe your strategy for integrating AI into an established Enterprise Design System while maintaining quality and brand consistency."

• "How would you define and implement 'human-in-the-loop' validation for AI-generated UI designs to ensure continuous improvement?"

• "Outline your approach to developing AI governance and safety guardrails for design outputs, considering legal, privacy, and brand standards."

• "What KPIs would you establish to measure the success of AI integration in design cycles, and how would you track them?"

• "How do you envision AI acting as a 'default collaborator,' and what are the key considerations for managing this shift from a design perspective?" Company & Culture Questions:

• "How do you see AI-powered design contributing to NextEra Energy's mission in the energy sector?"

• "Describe a situation where you had to evangelize a new technology or design approach to non-technical stakeholders. How did you approach it?"

• "How would you ensure that AI-generated designs align with our company's values of reliability and innovation?"

• "What is your experience working in a large, established organization with existing processes and systems, and how do you approach driving change within such an environment?" Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly define the problem, your role, the AI solutions you implemented, the process followed (including governance and validation), and the quantifiable results.

• Focus on Impact: Emphasize how your work with AI led to tangible benefits such as faster delivery, reduced costs, improved user experience, or enhanced brand consistency.

• Demonstrate Technical Acumen: Be prepared to discuss the specific AI tools and frameworks you used, your approach to prompt engineering, and your understanding of LLM/RAG concepts.

• Highlight Governance & Quality: Clearly explain how you ensured AI outputs met quality standards, accessibility requirements, and brand guidelines, showcasing your role in governing the process.

• Engage Your Audience: Be ready to answer detailed questions about your design decisions, technical choices, and strategic thinking, and invite discussion on how your approach could apply to NextEra Energy's challenges.

📝 Enhancement Note: Interview preparation should focus on demonstrating a strategic understanding of AI's role in design governance, quality assurance, and process optimization, backed by concrete examples from your portfolio. Being able to articulate the "why" behind your technical choices and their business impact is crucial.

📌 Application Steps

To apply for this operations position:

• Submit your application through the NextEra Energy careers portal using the provided URL.

• Portfolio Customization: Curate your portfolio to prominently feature at least 2-3 case studies demonstrating your experience with AI integration in design, focusing on governance, process optimization, and quantifiable results. Tailor your presentation to highlight how your skills align with NextEra Energy's needs in the energy sector.

• Resume Optimization: Ensure your resume clearly articulates your experience with Human-Centered Design, Enterprise Design Systems, AI governance, rapid prototyping, and relevant AI technologies. Use keywords identified in the job description and highlight achievements with specific metrics.

• Interview Preparation: Practice articulating your design process, AI integration strategies, and how you ensure quality and trust in AI-generated outputs. Prepare to walk through your portfolio case studies and answer strategic questions about AI's impact on design operations.

• Company Research: Thoroughly research NextEra Energy's business, digital presence, and any publicly available information on their innovation or AI initiatives. Understand their position in the energy market and how design operations and AI can support their strategic goals.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.