Capability Experience Designer (UX) Technology

📍 Job Overview

Job Title: Capability Experience Designer (UX) - Technology

Company: FIS

Location: Jacksonville, FL, United States

Job Type: Full time

Category: Technology / UX Design / Engineering Enablement

Date Posted: 2026-09-21

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

• This unique role focuses on designing the end-to-end engineer experience within FIS's Engineering & Infrastructure teams, blending UX principles with a deep understanding of software development lifecycles.

• You will be instrumental in enabling engineers to adopt cutting-edge technologies like Agentic AI and modern infrastructure practices, directly impacting how technology is developed and operated at FIS.

• The position requires a strong foundation in UX design, user research, and workflow analysis, applied specifically to technical and engineering environments to optimize developer productivity and skill development.

• This role offers a significant opportunity to shape the future of engineering operations by embedding enablement, guidance, and skill-building directly into the engineer's daily workflow.

📝 Enhancement Note: This role is framed as a "Capability Experience Designer" rather than a standard UX Designer, indicating a specialized focus on designing learning, adoption, and operational experiences for a technical workforce, particularly in the context of AI and modern infrastructure. The emphasis on "Engineering Service Delivery" and "Infrastructure Operating Model" suggests a strong alignment with Sales/Revenue Operations principles of enabling internal stakeholders (engineers) to be more effective and efficient.

📈 Primary Responsibilities

• Design and implement the comprehensive engineer experience for adopting Agentic AI tools, covering the entire journey from initial awareness to proficient use in daily delivery.

• Map the Engineering Service Delivery lifecycle to pinpoint critical moments for enablement, guidance, and skill enhancement that will maximize impact.

• Develop intuitive onboarding flows for Agentic AI capabilities, including AI Gateway, Agent Runtime, SDK standards, and agentic code review processes.

• Design the nuanced interaction boundaries between human engineers and digital workers, ensuring clarity on delegation, escalation, and accountability.

• Prototype and iterate on in-workflow nudges, contextual guides, and decision aids, leveraging adoption signals and engineer feedback for continuous improvement.

• Create capability experiences for Platform Engineering, Site Reliability Engineering (SRE), and Cloud operating model roles, focusing on self-serve platform consumption and on-call readiness.

• Develop workflow-embedded enablement for engineers new to the Central AI Gateway, Agent Runtime, and cloud-native infrastructure patterns.

• Map SRE and Platform Engineering journeys to identify friction points, knowledge gaps, and critical needs where targeted enablement can significantly alter outcomes.

• Build scalable assets such as runbook templates, decision frameworks, and escalation guides that integrate best practices directly into infrastructure operations.

• Partner with Platform and SRE leadership to design operating rhythm tools that support a shift from activity-based to outcome-based performance metrics.

• Translate the "Diamond-shape Talent Model" (Thought Leadership, Dev, Action) into concrete learning pathways, role profiles, and progression criteria for AI-era engineering roles.

• Design the Capability & Learning session framework for Workstream 2, facilitating structured capability discovery across engineering and infrastructure populations.

• Build the Learning Management and Knowledge System architecture, including validation approaches, applied learning strategies, and judgment development within the workflow.

• Utilize engineer performance, adoption, and platform usage data to continuously assess capability gaps and refine designed solutions.

• Maintain enterprise-wide design standards and reusable patterns across engineering academies, platforms, and various communication channels.

• Conduct user research with engineers through workflow shadowing and feedback loops, translating insights into rapid improvements.

• Audit and optimize existing enablement materials for cognitive load, relevance, and usability within engineering contexts.

• Ensure all designed solutions are accessible, inclusive, and tailored to the diverse range of engineering roles and seniority levels at FIS.

📝 Enhancement Note: The responsibilities clearly indicate a focus on "Developer Experience (DX)" and "Engineering Enablement," which are critical functions within GTM and operational support for technology organizations. The emphasis on AI adoption, SRE, and Platform Engineering suggests the role is deeply integrated with the company's core technology strategy and operational efficiency.

🎓 Skills & Qualifications

Education: Bachelor's degree or equivalent in UX Design, Human-Centered Design Thinking, Learning Experience Design, Computer Science, or a related technical field.

Experience: Proven experience designing enablement, learning, or behavior-change solutions specifically within engineering, technology, or infrastructure organizations.

Required Skills:

• Strong UX fundamentals, including journey mapping, workflow analysis, service design, interaction design, and prototype-and-test methodologies.

• Proficient in conducting user research with technical audiences (engineers) and translating insights into actionable, iterative improvements.

• Deep understanding of software engineering delivery practices, including familiarity with developer workflows, code deployment pipelines, and common friction points.

• Ability to translate complex technical concepts or organizational changes into practical, intuitive experiences for technical audiences.

• Excellent collaboration, facilitation, and stakeholder management skills, with the ability to engage effectively with both technical and non-technical stakeholders.

• Experience in designing for adoption and behavior change within a complex organizational setting. Preferred Skills:

• Prior experience supporting Agentic AI, developer tooling, or AI platform adoption programs.

• Familiarity with Platform Engineering, SRE, or Cloud operating models and associated roles (e.g., SRE, Platform Engineer, Cloud Architect, DevOps).

• Industry expertise in Banking, Payments, Capital Markets, or Finance.

• Knowledge of Developer Experience (DX) design principles and toolchain-embedded enablement approaches.

• Experience creating capability frameworks, role taxonomies, or learning architectures for engineering populations.

• Familiarity with digital adoption tools, in-workflow learning, and performance-support design patterns.

• Understanding of AI-enabled or personalized capability solutions within enterprise engineering contexts.

• Experience facilitating workshops or capability discovery sessions with senior engineering or infrastructure leaders.

📝 Enhancement Note: The "Required Skills" section emphasizes a blend of core UX competencies and specific domain knowledge in software engineering. The "Preferred Skills" highlight areas like AI, SRE, and specific financial industries, suggesting that candidates with this specialized background will be highly competitive. This implies the role requires a sophisticated understanding of operational technology stacks and their human interface.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies of Impact: Showcase at least 2-3 detailed case studies demonstrating your process for designing and implementing enablement or behavior-change solutions for technical teams. Quantify the impact of your designs on adoption rates, efficiency improvements, or skill uplift.

• Workflow Analysis & Design: Include examples of how you've mapped complex workflows, identified pain points, and designed intuitive solutions that integrate directly into existing toolchains or operational processes.

• User Research & Iteration: Present evidence of your user research methodologies (e.g., interviews, shadowing, surveys) and how you've used the insights to iterate on designs, leading to measurable improvements.

• Systemic Design Thinking: Demonstrate your ability to think systemically about user enablement, showing how your designs connect with broader organizational goals, talent models, or technology adoption strategies.

Process Documentation:

• Workflow Design and Optimization: Provide examples of documented workflows and how you've optimized them through design interventions to reduce cognitive load and improve task completion for engineers.

• Implementation and Automation: Showcase how your designs have been implemented, ideally with a focus on how they leverage or integrate with existing systems, automation tools, or knowledge management platforms.

• Measurement and Performance Analysis: Include examples of how you've defined metrics to measure the success of your enablement designs and how you've analyzed performance data to inform future iterations and strategic adjustments.

📝 Enhancement Note: For a role like this, a portfolio is crucial for demonstrating practical application of design skills in a complex, technical environment. The emphasis on "process" and "systems" aligns with operations roles that require structured thinking, measurable outcomes, and the ability to integrate solutions within existing frameworks. The request for quantifiable impact is a strong indicator of an operations-centric evaluation process.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for UX Designers with 5-10 years of experience in major technology hubs, and considering the specialized nature of this role within a large financial technology company, an estimated salary range for this position in Jacksonville, FL, would be between $100,000 to $140,000 annually. This estimate accounts for the demand for specialized UX skills in technical enablement and the cost of living in the Jacksonville area.

Benefits:

• Competitive Salary: A strong base salary reflecting the specialized skills and experience required.

• Comprehensive Benefits Package: Includes health, dental, and vision insurance, life insurance, and disability coverage.

• Retirement Savings Plan: Typically includes a 401(k) with a company match to support long-term financial planning.

• Paid Time Off: Generous vacation, sick leave, and paid holidays.

• Professional Development: Opportunities for training, certifications, conferences, and continuous learning to advance skills in UX, AI, and engineering enablement.

• Employee Assistance Program: Resources for mental health, financial, and legal support.

• Wellness Programs: Initiatives focused on employee health and well-being.

• Potential for Bonuses: Performance-based bonuses may be offered.

Working Hours: This is a full-time position, typically requiring approximately 40 hours per week. While the role is on-site, FIS may offer some flexibility in daily start and end times, subject to team and operational needs. Core business hours will need to be adhered to for collaboration with global and local teams.

📝 Enhancement Note: The salary estimate is based on general market data for experienced UX professionals in a mid-sized US city, adjusted for the specialized nature of the role (engineering enablement, AI focus). The benefits listed are standard for large, publicly traded technology companies like FIS and are highly relevant to attracting and retaining talent in specialized operational and design roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Technology (Fintech). FIS is a global leader in financial services technology, providing a wide range of software, services, and technology solutions to clients in the banking, payments, capital markets, and retail sectors. This industry context means the company operates in a highly regulated, fast-paced, and innovation-driven environment.

Company Size: FIS is a large enterprise company, indicated by its extensive global presence and broad service offerings. This scale implies a complex organizational structure, established processes, and significant resources, but also potential for bureaucracy. For operations professionals, this means opportunities for broad impact across many business units, but also the need for strong navigation skills and patience with established systems.

Founded: Founded in 1968, FIS has a long history and deep experience in the financial technology sector. This longevity suggests stability, a wealth of institutional knowledge, and a proven ability to adapt to market changes over decades. The company's evolution from its origins to its current global status likely involves significant technological and operational transformations.

Team Structure:

• The Capability Experience Designer will likely be part of a broader Technology or Engineering organization, potentially within a group focused on Developer Experience (DX), Engineering Productivity, or Learning & Development for technical roles.

• The role requires close collaboration with various engineering leadership roles, including Platform Engineering leads, SRE managers, AI Platform Program owners, and potentially HR/Talent Development specialists.

• Cross-functional collaboration will be key, bridging the gap between core engineering functions, AI initiatives, infrastructure operations, and the talent development framework. Methodology:

• Data-Driven Design: The role emphasizes using engineer performance, adoption, and platform usage data to evaluate capability gaps and refine solutions, aligning with operations' focus on metrics and measurable outcomes.

• User-Centric Workflow Integration: Solutions are designed to be embedded directly into the engineer's workflow, rather than being separate learning systems, reflecting an operational efficiency mindset focused on seamless integration.

• Agile Iteration: The process involves rapid prototyping and iteration based on user feedback and adoption signals, indicating an agile approach to designing and improving operational experiences.

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

📝 Enhancement Note: Understanding FIS's industry (Fintech) and size (large enterprise) is crucial. For operations roles, this means navigating complex systems, adhering to regulations, and leveraging enterprise-level resources. The mention of "Agentic AI" and "modern infrastructure" indicates a company actively investing in future technologies, which is a positive sign for innovation-focused operations professionals.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a mid-to-senior level, requiring 5-10 years of experience. It's not a junior design role but a specialized "Designer" role focused on "Capabilities" within engineering and infrastructure. This level suggests significant autonomy, responsibility for strategic initiatives, and the ability to influence how technical teams operate. It's a critical GTM-adjacent role that supports the internal "customers" (engineers) of the technology being built.

Reporting Structure: The Capability Experience Designer likely reports to a Manager or Director within a group focused on Engineering Productivity, Developer Experience (DX), or a similar operational support function for technology. They will work closely with various engineering leadership roles, indicating a matrixed reporting or strong collaborative relationship structure.

Operations Impact: The impact of this role is significant and directly tied to operational efficiency and technological advancement. By improving the engineer experience, facilitating AI adoption, and optimizing infrastructure operations, this role contributes to faster development cycles, higher quality software, more reliable infrastructure, and ultimately, better financial services delivery to FIS clients. This is a direct driver of internal operational excellence that underpins external GTM success.

Growth Opportunities:

• Specialization: Deepen expertise in Developer Experience (DX), AI enablement, or SRE/Platform Engineering design within the fintech sector.

• Leadership: Transition into a Lead Capability Experience Designer role, managing a small team or leading larger strategic initiatives.

• Cross-Functional Movement: Move into roles focused on Product Management for developer tools, Engineering Program Management, or even broader GTM operations strategy for technology products.

• Learning & Development: Continuous learning opportunities in AI, cloud-native technologies, and advanced UX/service design methodologies, supported by FIS's resources.

• Industry Influence: Contribute to shaping best practices for engineering enablement and AI adoption within a leading fintech organization.

📝 Enhancement Note: This role is highly strategic, focusing on enabling the internal technical workforce. Its impact is directly tied to operational efficiency and the speed of innovation, making it a key component of FIS's GTM enablement strategy for its technology offerings. Growth opportunities are substantial, pointing towards career paths in specialized operational design, product management for internal tools, or leadership within technology enablement functions.

🌐 Work Environment

Office Type: This is an on-site role, indicating a traditional office environment where in-person collaboration is expected. This setup facilitates direct interaction with colleagues, spontaneous discussions, and team-building activities.

Office Location(s): The primary location is Jacksonville, FL. This offers a specific regional context for daily work life and potential commute. Being on-site in a company like FIS means being part of a larger corporate campus or office building, likely with dedicated facilities for employees.

Workspace Context:

• Collaborative Spaces: The office environment likely includes meeting rooms, huddle spaces, and open-plan areas designed to foster collaboration among engineers, designers, and leadership.

• Technology Integration: Expect access to standard office technology, robust network infrastructure, and potentially specialized hardware or software for design and development work. The company's focus on AI and modern infrastructure suggests a commitment to providing relevant tools.

• Team Interaction: Daily opportunities to interact with fellow designers, engineering managers, SREs, Platform Engineers, and other stakeholders, facilitating direct feedback and knowledge sharing.

Work Schedule: The standard work schedule is full-time, approximately 40 hours per week. As an on-site role, adherence to core business hours is expected to facilitate synchronous collaboration with local and potentially global teams. While flexibility in daily start/end times might be available, the primary focus is on consistent presence and availability for team activities and project needs.

📝 Enhancement Note: An on-site role in a large financial technology company like FIS suggests a structured, professional environment. For operations professionals, this means a stable work setting with access to corporate resources, but also a requirement to be physically present for collaboration and project execution.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or HR representative will likely conduct an initial phone screen to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: A discussion with the hiring manager to delve deeper into your experience, understanding of the role's objectives, and how your skills align with FIS's needs, particularly regarding engineering enablement and AI adoption.

• Portfolio Review & Design Exercise: A critical stage where you will present your portfolio, showcasing case studies of your work. This may be accompanied by a practical design exercise or a deep dive into a specific problem area relevant to the role (e.g., designing an onboarding flow for a new AI tool).

• Team/Stakeholder Interviews: You may meet with other team members, potential collaborators (e.g., engineering leads, SREs), to assess your collaboration style, technical understanding, and ability to integrate into the team.

• Final Interview: Potentially a final interview with a senior leader to confirm fit and discuss overall alignment with the company's strategic direction.

Portfolio Review Tips:

• Quantify Impact: For each case study, clearly articulate the problem, your proposed solution, the process you followed, and – most importantly – the measurable results achieved (e.g., increased adoption by X%, reduced onboarding time by Y%, improved error rates by Z%).

• Showcase Process: Demonstrate your end-to-end design process, from user research and problem definition to ideation, prototyping, testing, and implementation oversight. Highlight how you translated complex technical requirements into user-friendly experiences.

• Focus on Technical Context: Emphasize projects where you designed for technical audiences (engineers, developers, IT operations). Clearly articulate your understanding of their workflows, tools, and pain points.

• Tailor to FIS: Research FIS's current technology initiatives (AI, cloud, SRE) and tailor your presentation to show how your experience is directly relevant to their challenges and goals. Highlight projects related to AI adoption or developer enablement if possible.

Challenge Preparation:

• Understand the "Why": Be prepared to discuss the strategic importance of engineering enablement and developer experience within a large fintech organization like FIS.

• AI & Modern Infrastructure: Familiarize yourself with current trends and challenges in Agentic AI adoption, cloud-native operations, SRE practices, and developer tooling.

• Problem-Solving Scenarios: Practice articulating how you would approach a hypothetical scenario, such as designing an enablement strategy for a new AI coding assistant or optimizing an on-call runbook system. Focus on your process, user research, and outcome-driven approach.

• Stakeholder Communication: Prepare examples of how you've successfully communicated complex design concepts and secured buy-in from technical leadership and engineering teams.

📝 Enhancement Note: The interview process for this role will heavily weigh practical application and strategic thinking. The portfolio review is paramount, requiring candidates to demonstrate not just design skills but also a deep understanding of the operational context and the ability to drive measurable results within a technical organization.

🛠 Tools & Technology Stack

Primary Tools:

• UX/UI Design Software: Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop), InVision, Axure RP.

• Prototyping Tools: Figma, InVision, ProtoPie, Adobe XD.

• User Research Platforms: UserTesting.com, Lookback, Hotjar, Qualtrics, SurveyMonkey.

• Collaboration & Project Management: Jira, Confluence, Asana, Trello, Microsoft Teams, Slack.

Analytics & Reporting:

• Web Analytics: Google Analytics, Adobe Analytics (for understanding user behavior on internal platforms if applicable).

• Product Analytics: Mixpanel, Amplitude, Pendo (for tracking feature adoption and user engagement with enablement tools or platforms).

• Data Visualization: Tableau, Power BI, Looker (for analyzing user data and presenting insights).

CRM & Automation:

• Internal Systems: While not a typical CRM role, familiarity with internal ticketing systems (e.g., ServiceNow) or knowledge management platforms (e.g., Confluence, SharePoint) is beneficial for understanding how enablement content is accessed and managed.

• Digital Adoption Platforms (DAPs): WalkMe, Pendo, Appcues (for in-workflow guidance and nudges).

• Learning Management Systems (LMS): Experience with or understanding of how LMS platforms function (e.g., Cornerstone, Workday Learning) is relevant, as the role involves designing for "Learning Management and Knowledge System architecture."

📝 Enhancement Note: The tools listed reflect a modern UX design and product development workflow. For an operations-focused role like this, understanding how these design tools integrate with project management, analytics, and potentially internal knowledge/learning systems is key. The mention of DAPs and LMS highlights the focus on embedded learning and performance support.

👥 Team Culture & Values

Operations Values:

• Efficiency & Optimization: A core value will be driving efficiency in engineering processes and optimizing workflows to reduce friction and improve productivity. This means a constant drive to find better ways of doing things.

• Data-Driven Decision Making: Operations professionals at FIS likely value decisions backed by data and analytics. This role will leverage performance and adoption data to inform design choices and measure success.

• Collaboration & Cross-Functional Partnership: Success in this role hinges on working effectively with diverse teams – engineering, SRE, AI platform owners, and potentially HR. A collaborative spirit is essential.

• Continuous Improvement: The fast-paced fintech environment demands a mindset of continuous learning and adaptation. Expect a culture that encourages experimentation, feedback, and iterative enhancements.

• Impact & Accountability: A focus on delivering tangible outcomes that positively affect the engineering organization and, by extension, FIS's ability to deliver financial services.

Collaboration Style:

• Embedded within Engineering: The role is designed to be close to the engineering teams, fostering a collaborative style that is integrated into their daily work rather than being an external service.

• Facilitative Leadership: Expect to act as a facilitator, guiding discussions, workshops, and feedback sessions to elicit insights and drive consensus on design solutions.

• Proactive Communication: Regular and transparent communication with stakeholders is vital to ensure alignment, manage expectations, and share progress and learnings effectively.

• Feedback-Driven Culture: A willingness to both give and receive constructive feedback is crucial for iterative design and continuous improvement within the team and across partnered organizations.

📝 Enhancement Note: The emphasis on "efficiency," "data-driven decisions," and "collaboration" aligns perfectly with the core tenets of revenue and sales operations. This role, while in UX design, functions as an operational enabler for the technology teams, requiring a similar operational mindset.

⚡ Challenges & Growth Opportunities

Challenges:

• Adoption Inertia: Overcoming resistance to change and ensuring engineers actively adopt new AI tools and processes, especially when they are accustomed to existing workflows.

• Complexity of Technical Environments: Designing for highly technical, diverse, and often specialized engineering roles (SRE, Platform, AI) requires a deep understanding of their unique needs and workflows.

• Balancing Innovation with Stability: Integrating new AI capabilities and modern infrastructure practices while maintaining the stability and reliability of critical financial systems.

• Measuring Intangible Benefits: Quantifying the impact of improved developer experience, enablement, and skill development can be challenging, requiring creative approaches to metrics and data analysis.

• Navigating a Large Enterprise: Working within a large organization like FIS can present challenges related to bureaucracy, stakeholder alignment, and integration with legacy systems.

Learning & Development Opportunities:

• AI & Machine Learning: Gain hands-on experience with Agentic AI, AI Gateway, and Agent Runtime, deepening knowledge in AI-driven software development and operations.

• Cloud-Native Technologies & SRE: Enhance expertise in cloud-native architectures, Platform Engineering, and SRE best practices, which are critical for modern infrastructure operations.

• Developer Experience (DX) Design: Become a subject matter expert in designing for developer productivity, tooling, and workflow optimization.

• Service Design & Capability Frameworks: Develop advanced skills in service design principles and creating comprehensive capability frameworks for technical talent.

• Fintech Industry Insights: Gain deep knowledge of the financial services and payments industry, understanding its unique operational and regulatory demands.

📝 Enhancement Note: The challenges presented are common in operational transformation roles, requiring strategic thinking, strong change management skills, and a data-driven approach to demonstrate value. The growth opportunities are substantial, offering a clear path for specialization and advancement within a critical technology enablement function.

💡 Interview Preparation

Strategy Questions:

• Designing for AI Adoption: "Imagine we are launching a new Agentic AI tool for code review. How would you design the onboarding and enablement experience to maximize adoption among our diverse engineering teams?" (Focus on your process: research, user segmentation, journey mapping, in-workflow nudges, feedback loops, metrics.)

• Optimizing Infrastructure Operations: "Describe a time you designed an enablement solution for a complex technical process, like incident response or platform onboarding. What was the challenge, how did you approach it, and what was the measurable impact?" (Highlight your understanding of SRE/Platform Ops, workflow analysis, and outcome-based design.)

• Cross-Functional Collaboration: "How would you collaborate with engineering leadership and SRE teams to ensure your capability designs are practical, effective, and integrated into their daily operations?" (Emphasize your facilitation, stakeholder management, and ability to translate technical needs into design solutions.)

Company & Culture Questions:

• FIS's Technology Vision: "Based on what you know about FIS and the fintech industry, what do you see as the biggest challenges and opportunities for engineering enablement in the next 2-3 years?" (Show research into FIS's AI initiatives and broader industry trends.)

• Engineering Culture: "How would you assess and adapt to the existing engineering culture at FIS to ensure your enablement solutions are well-received and effective?" (Discuss your approach to understanding team dynamics, building trust, and fostering a collaborative environment.)

• Measuring Impact: "How would you propose measuring the success and ROI of your work in designing capability experiences for engineers at FIS?" (Focus on metrics related to adoption, efficiency, skill development, and alignment with business objectives.)

Portfolio Presentation Strategy:

• Storytelling with Data: For each case study, craft a compelling narrative that clearly outlines the problem, your unique contribution, the process, and the quantifiable results. Use visuals (screenshots, diagrams) to illustrate your work.

• Highlight Process & Rationale: Walk through your design thinking – why you made certain choices, what research informed your decisions, and how you iterated based on feedback. This demonstrates your strategic approach.

• Focus on Technical Relevance: Explicitly connect your past projects to the requirements of this role, emphasizing any experience with developer tooling, AI, infrastructure, or complex technical workflows.

• Engage and Inquire: Be prepared to answer questions about your work and ask insightful questions about FIS's current challenges and how they envision this role contributing to solutions.

📝 Enhancement Note: Preparing for this interview requires a deep understanding of both UX design principles and operational excellence within a technology context. The questions are designed to assess your ability to apply your design skills to solve real-world operational challenges for engineers, with a focus on measurable outcomes and strategic alignment.

📌 Application Steps

To apply for this operations-adjacent technology design position:

• Submit your application through the provided link on the FIS careers portal.

• Curate Your Portfolio: Select 2-3 of your strongest case studies that best demonstrate your experience in designing enablement, learning, or behavior-change solutions for technical teams. Ensure each case study clearly outlines the problem, your process, your specific contribution, and quantifiable results. Tailor your presentation to highlight experience with AI adoption, developer workflows, or infrastructure operations.

• Optimize Your Resume: Highlight keywords and achievements relevant to UX design, human-centered design, workflow analysis, user research, and any experience with engineering enablement, developer productivity, or AI technology adoption. Quantify your accomplishments wherever possible.

• Prepare Your Presentation: Practice walking through your portfolio with clarity and conciseness, focusing on storytelling, data-driven outcomes, and your strategic approach. Be ready to discuss how your skills translate to FIS's specific challenges in engineering and infrastructure.

• Research FIS: Gain a thorough understanding of FIS's business, its role in the fintech industry, its commitment to AI, and its engineering culture. This research will enable you to ask informed questions and demonstrate genuine interest during the interview process.

⚠️ 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.