Senior UI Developer, AI Studio

📍 Job Overview

Job Title: Senior UI Developer, AI Studio

Company: Amgen

Location: Jacksonville, Florida, United States; Tampa, Florida, United States

Job Type: Full time

Category: Information Systems / Software Engineering / AI & Data Science

Date Posted: 2026-09-21

Experience Level: 10+ years

Remote Status: Remote OK

🚀 Role Summary

• This Senior UI Developer role is within Amgen's AI Studio, focusing on building and enhancing user experiences for AI-powered products and platforms.

• The position requires deep expertise in frontend development, UX design, and integration with AI/ML models, Generative AI, and RAG (Retrieval-Augmented Generation) technologies.

• The candidate will own the end-to-end development cycle for AI product user interfaces, from user discovery and UX design to UI implementation, launch, and ongoing support.

• This role demands a strong blend of technical proficiency in modern frontend frameworks and a product-oriented mindset to translate complex business needs and AI capabilities into intuitive, accessible, and secure user experiences.

📝 Enhancement Note: This role is positioned within Amgen's "AI Studio," indicating a specialized team dedicated to productizing AI and ML capabilities. The emphasis on "governed, reusable AI assets with accountable ownership and measurable value" suggests a focus on scalable, robust solutions within a regulated industry (pharmaceuticals/biotech). The hybrid nature of the role, requiring both strong UI/UX skills and an understanding of AI/ML integrations, is a key differentiator.

📈 Primary Responsibilities

• Lead user-centered discovery processes by partnering with product and UX teams to define user needs, workflows, intended use cases, acceptance criteria, and accessibility requirements for AI products.

• Translate user research, journey maps, and detailed business requirements into clear UX designs, interaction patterns, prototypes, and implementable UI specifications.

• Architect and develop responsive user interfaces using modern JavaScript/TypeScript, React, and Next.js, ensuring seamless integration with APIs, backend services, and AI/ML models.

• Design and implement human-AI interaction experiences, including interfaces for Large Language Models (LLMs), RAG systems, search functionalities, agents, and business intelligence (BI) tools, with a focus on clear loading states, error handling, evidence display, and traceable outcomes.

• Own the translation of UX designs into production-ready frontend architecture, encompassing component composition, state management, secure session handling, accessibility standards, browser performance optimization, and robust API integration.

• Establish and execute risk-based testing strategies for UI, accessibility, integration, and end-to-end scenarios, contributing to CI/CD pipelines, staged releases, telemetry, incident response, and support transition.

• Coordinate with governance and GxP (Good Practice) compliance teams, develop reusable UI components and patterns, lead root-cause analysis for UI-related issues, measure user adoption and experience quality, and mentor junior engineers.

📝 Enhancement Note: The responsibilities highlight a full-cycle ownership model, extending beyond typical UI development to include deep engagement in product strategy, user discovery, and post-launch optimization. The explicit mention of GxP controls and regulated delivery underscores the importance of compliance and validation within Amgen's operations, a critical consideration for candidates in the pharmaceutical sector.

🎓 Skills & Qualifications

Education:

• Doctorate Degree and 1 year of experience in Computer Science, IT, or related field; OR

• Master’s degree with 8-10 years of experience in Computer Science, IT, or related field; OR

• Bachelor’s degree with 10-12 years of experience in Computer Science, IT, or related field; OR

• Diploma with 12-14 years of experience in Computer Science, IT, or related field. Experience:

• Extensive experience in UX design, frontend development, and human-AI engineering, encompassing user research, information architecture, interaction design, wireframing, prototyping, and accessible frontend architecture.

• Proven ability in full-stack integration and application architecture, including API contracts, services, event-driven architectures, data flows, authentication, authorization, and building resilient, supportable user experiences.

• Demonstrable experience with AI-enabled product experiences, integrating predictive ML, foundation models, embeddings, vector/graph retrieval, RAG, structured output, bounded agents, and document/vision capabilities with clear human oversight.

• Solid understanding of testing methodologies, cloud platforms (AWS preferred), DevSecOps practices, and reliability engineering principles, including CI/CD, infrastructure as code, quality gates, observability, and incident management.

• Experience with security best practices, Responsible AI principles, and regulated delivery environments (e.g., GxP, pharmaceutical, healthcare). Required Skills:

• Demonstrated end-to-end ownership of UX design and UI delivery for at least one production web application, digital product, or substantial user-interface workstream that delivered a measurable outcome.

• Strong hands-on proficiency in JavaScript or TypeScript, HTML, and CSS, with a proven ability to translate UX designs into responsive, accessible interfaces using React, Next.js, or a comparable component-based framework.

• Working full-stack experience with APIs, integrations, data flows, and production support, with the capacity to partner effectively with backend, data, and ML specialists on deeper service, model, RAG, agent, and MLOps decisions. Preferred Skills:

• Advanced experience with user research, journey mapping, interaction design, wireframing, prototyping, and design systems.

• Proficiency with React, Next.js, or comparable rendering patterns for multimodal or collaborative interfaces, data visualization, advanced accessibility, and safe AI review/approval experiences.

• Experience with enterprise integration patterns, API gateways, REST/GraphQL APIs, event platforms, durable workflows, stream processing, service mesh, asynchronous updates, and enterprise integration architecture.

• Experience with vector or graph databases, graph/multimodal retrieval, model and agent gateways, MCP-style tool integration, durable agents, agent evaluation, process mining, or automation platforms like UiPath or n8n.

• Cloud platform experience, particularly with AWS (including Bedrock, SageMaker), Databricks, Spark, Kubernetes, serverless services, infrastructure as code, OpenTelemetry, policy as code, or internal developer platforms.

• Experience delivering GxP-relevant, validated, pharmaceutical, healthcare, or other high-impact systems and a pragmatic approach to evaluating emerging technologies.

• Strong product thinking, ability to connect user research/UX/frontend decisions to measurable user, workflow, and business value.

• Technical leadership, mentoring skills, and a hands-on approach to ownership.

• Excellent analytical judgment, troubleshooting skills, and clear communication of evidence, limitations, and trade-offs.

• Cross-functional leadership and close partnership with product, business, UX, architecture, backend, ML, platform, and control functions.

• Pragmatism, resilience, and a commitment to continuous improvement through incidents, feedback, reuse, and measured outcomes.

📝 Enhancement Note: The experience requirements clearly indicate a "senior" level, emphasizing end-to-end ownership, technical leadership, and a blend of deep frontend expertise with a strong understanding of AI/ML integration. The preferred skills list provides a roadmap for candidates to highlight specific, advanced technologies and domain knowledge relevant to Amgen's AI initiatives.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase at least one significant production web application, digital product, or user-interface workstream where you demonstrated end-to-end ownership from UX design to UI delivery.

• Provide clear documentation of the measurable outcomes achieved through your UI/UX contributions, demonstrating impact on user engagement, workflow efficiency, or business value.

• Include examples of how you translated complex business needs or AI capabilities into secure, accessible, and intuitive user experiences.

• Present case studies that highlight your ability to integrate frontend interfaces with APIs, services, data, and AI/ML functionalities. Process Documentation:

• Detail your approach to user-centered discovery, including how you collaborate with product and UX partners to define user needs, workflows, and acceptance criteria.

• Document your process for translating user research and requirements into detailed UX designs, interaction patterns, prototypes, and implementable UI specifications.

• Explain your methodology for architecting and developing responsive UI frontend solutions, covering aspects like component composition, state management, security, accessibility, and performance optimization.

• Illustrate your process for integrating AI-enabled product experiences, including how you handle model services, LLMs, RAG, search, agents, and data with clear loading/error states and traceable outcomes.

• Provide examples of your testing strategies, including UI, accessibility, integration, and end-to-end testing, and how you contribute to CI/CD, staged releases, and telemetry.

📝 Enhancement Note: For a Senior UI Developer role, especially in a regulated industry and focused on AI, the portfolio should demonstrate not just visual design and coding skills but also strategic thinking, process ownership, and a results-oriented approach. Emphasis on measurable outcomes, collaboration, and handling complex integrations is crucial.

💵 Compensation & Benefits

Salary Range: $126,570.10 - $171,241.90 USD per year.

Benefits:

• A comprehensive employee benefits package, including:

  • Retirement and Savings Plan with generous company contributions.
  • Group medical, dental, and vision coverage for staff and eligible dependents.
  • Life and disability insurance.
  • Flexible spending accounts.

• A discretionary annual bonus program.

• Stock-based long-term incentives.

• Award-winning time-off plans.

• Flexible work models where possible, depending on the specific role and location. Working Hours:

• The standard work week is typically 40 hours.

• The role is designated as "Remote OK," indicating flexibility in work location, with specific details on hybrid expectations to be confirmed.

📝 Enhancement Note: The salary range provided is within the expected band for a Senior UI Developer with 10+ years of experience in a high-cost-of-living area or a specialized tech role in a major pharmaceutical company. The benefits package is robust, typical for large, established corporations like Amgen, with a strong emphasis on long-term financial security and well-being.

🎯 Team & Company Context

🏢 Company Culture

Industry: Biotechnology / Pharmaceutical. Amgen is a leader in discovering, developing, manufacturing, and delivering innovative human therapeutics. The company focuses on four key therapeutic areas: Oncology, Inflammation, General Medicine, and Rare Disease. The AI Studio operates within this context, aiming to leverage AI to accelerate drug discovery, improve patient outcomes, and enhance operational efficiency across the organization.

Company Size: Large enterprise (likely 10,000+ employees, based on typical pharmaceutical company structures). This size implies a structured environment with established processes, extensive resources, and opportunities for specialization and career advancement. For operations professionals, it means navigating larger teams, more complex systems, and potentially longer decision-making cycles, but also greater stability and impact potential.

Founded: 1980. With over four decades of experience, Amgen has a long history of innovation and a well-established reputation in the biotech industry. This longevity suggests a stable company with a deep understanding of its market and a commitment to long-term research and development.

Team Structure: The Senior UI Developer will be part of the AI & Data Science (AI&D) organization, specifically within the AI Studio. This team likely comprises a mix of software engineers, data scientists, ML engineers, UX designers, product managers, and operations specialists. The structure is designed to productize AI capabilities, meaning a strong emphasis on collaboration between technical development, data science, and business stakeholders. Reporting lines are likely within engineering or IT, with close partnerships across R&D, commercial, and manufacturing functions.

Methodology: The AI Studio's methodology focuses on turning business demand into governed, reusable AI assets. This implies a structured approach to AI development, likely incorporating elements of Agile methodologies, DevOps/MLOps practices, and a strong emphasis on governance, accountability, and measurable value. Key processes will involve user-centered design, iterative development, API integration, data management, model deployment, and continuous monitoring/improvement.

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

📝 Enhancement Note: Amgen's industry (biotech/pharma) is critical. It means that operations roles, especially in areas like AI Studio, will operate within a highly regulated environment (GxP). This necessitates a focus on data integrity, security, validation, and robust documentation, which should be reflected in how candidates present their experience and skills.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior-level position, indicating a significant degree of autonomy, technical leadership, and responsibility. A Senior UI Developer is expected to not only execute tasks but also to influence technical direction, mentor junior team members, and contribute to architectural decisions. The role demands a deep understanding of frontend development, UX principles, and the complexities of integrating with AI/ML systems, positioning the individual as a key contributor to Amgen's AI product strategy.

Reporting Structure: The role reports into the AI & Data Science (AI&D) organization, likely within the AI Studio's engineering or platform team. This structure suggests close collaboration with product managers, UX designers, backend engineers, and data scientists/ML engineers. The Senior UI Developer will be expected to work cross-functionally, bridging the gap between user needs, design, and technical implementation of AI-driven features.

Operations Impact: The Senior UI Developer's impact is direct and significant, focusing on making complex AI capabilities accessible and usable for patients, researchers, and internal stakeholders. By owning the user experience for AI products, this role directly influences product adoption, user satisfaction, and the realization of measurable business value derived from AI investments. This includes improving patient outcomes through better therapeutic tools, accelerating drug discovery through intuitive research interfaces, or enhancing operational efficiency via AI-powered workflows.

Growth Opportunities:

• Technical Specialization: Deepen expertise in cutting-edge AI/ML frontend integrations, Generative AI interfaces, RAG systems, and advanced accessibility standards within the pharmaceutical domain.

• Leadership & Mentorship: Progress into a Tech Lead or Architect role within the AI Studio, guiding development teams, setting technical standards, and mentoring junior engineers.

• Cross-functional Mobility: Potentially transition into Product Management, UX Architecture, or broader Software Engineering leadership roles within Amgen's expanding AI and Data Science initiatives.

• Domain Expertise: Develop a strong understanding of the pharmaceutical and biotech industry's unique operational and regulatory requirements, becoming a subject matter expert in AI applications within this sector.

📝 Enhancement Note: The "Senior" designation and the specific focus on AI Studio suggest a role with substantial growth potential. Candidates should highlight instances where they have led initiatives, mentored others, or influenced technical strategy, as these are key indicators for advancement within a large organization like Amgen.

🌐 Work Environment

Office Type: The posting indicates "Field/Remote" with "Remote OK" status, suggesting a primarily remote work arrangement. Amgen may offer hybrid options or require occasional in-office presence for specific meetings or team events, particularly if based near one of their major hubs. The "Field/Remote" designation for Jacksonville and Tampa implies these locations might be considered for remote employees who are geographically located there, rather than requiring a dedicated office presence.

Office Location(s): While the role is remote, Amgen has significant operations in Florida, specifically mentioning Jacksonville and Tampa. Employees based in these areas might have access to Amgen facilities, though the remote nature of the role likely means primary work will be from a home office.

Workspace Context:

• Remote Collaboration: Expect a highly collaborative remote environment utilizing digital tools for communication, project management, and code sharing (e.g., Slack, Microsoft Teams, Jira, Confluence, Git).

• Technology Access: Amgen provides necessary hardware and software to perform job functions, including access to cloud platforms (AWS), development tools, and internal systems.

• Cross-functional Interaction: Frequent interaction with diverse teams (Product, UX, Backend, ML, Data Science, Governance) will be a core part of the role, requiring strong virtual communication and collaboration skills.

Work Schedule: Standard full-time hours (approximately 40 hours per week) are expected, with flexibility often afforded in remote roles regarding specific start and end times, provided work is completed and collaboration with global teams is managed effectively. Time zone coordination will be important for team meetings and cross-functional alignment.

📝 Enhancement Note: For a remote role in a large, established company, understanding the balance between remote flexibility and potential in-office requirements (even if minimal) is key. Candidates should be prepared to discuss their remote work setup and how they maintain productivity and collaboration in a distributed team.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter call to assess basic qualifications, interest, and cultural fit.

• Technical Screening: A coding challenge or technical interview focusing on JavaScript/TypeScript, React, and frontend fundamentals. This may be a live coding session or a take-home assignment.

• Hiring Manager Interview: Deeper dive into experience, leadership capabilities, problem-solving approach, and alignment with the AI Studio's mission. Expect questions about past projects, handling challenges, and technical decision-making.

• Team/Peer Interviews: Sessions with potential colleagues (UX designers, backend engineers, ML engineers) to assess collaboration style, technical depth in relevant areas (e.g., API integration, AI concepts), and cultural fit within the AI Studio.

• Portfolio Review: A dedicated session where you will present selected projects from your portfolio. Be prepared to walk through the UX design process, technical implementation, challenges faced, and measurable outcomes. This is a critical stage for a UI/UX role.

• Final Interview: Potentially with a senior leader in the AI&D organization to discuss strategic alignment, long-term vision, and overall suitability for the role.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 projects that best showcase your end-to-end ownership, ability to translate complex requirements (especially AI/ML related) into intuitive UIs, and deliver measurable results.

• Focus on Process & Impact: For each project, clearly articulate the problem statement, your role, the design process (user research, wireframing, prototyping), the technical stack and implementation challenges, and most importantly, the quantifiable outcomes and business value.

• Highlight AI/ML Integration: If possible, include projects that demonstrate experience integrating with APIs, data sources, or AI/ML models, as this is core to the "AI Studio" focus. Explain how you handled data display, model outputs, user feedback loops, and potential uncertainties.

• Demonstrate Collaboration: Be ready to discuss how you collaborated with product managers, UX designers, backend engineers, and data scientists.

• Prepare for Technical Deep Dives: Anticipate questions about your code, architectural decisions, performance optimization techniques, and accessibility best practices.

• Address Regulated Environments: If you have experience in GxP or regulated industries, highlight how you ensured compliance, security, and validation in your UI development.

Challenge Preparation:

• Frontend Fundamentals: Brush up on core JavaScript (ES6+), TypeScript, React hooks, state management (e.g., Context API, Redux), component lifecycle, and performance optimization.

• Modern Frameworks: Be comfortable discussing and demonstrating proficiency with React and Next.js, including server-side rendering (SSR), static site generation (SSG), and API routes.

• API Integration: Practice scenarios involving fetching data, handling asynchronous operations, error management, and integrating with RESTful or GraphQL APIs.

• AI/ML Concepts (User-Facing): Understand how to represent model outputs, handle uncertainty, incorporate user feedback, and build interfaces for RAG, LLMs, or agents. Familiarize yourself with concepts like prompt engineering from a UI perspective.

• Accessibility (WCAG): Be prepared to discuss and demonstrate knowledge of web accessibility standards (WCAG 2.1 AA/AAA), ARIA attributes, and semantic HTML for building inclusive UIs.

• Problem-Solving: Practice breaking down complex problems into smaller, manageable parts and articulating your thought process clearly.

📝 Enhancement Note: The portfolio review is paramount for this role. Candidates should prepare a concise, impactful presentation that clearly demonstrates their ability to deliver complex UI solutions, especially those involving AI/ML, within a structured and regulated environment.

🛠 Tools & Technology Stack

Primary Tools:

• Frontend Frameworks: JavaScript, TypeScript, React, Next.js (or comparable component-based frameworks).

• UI/UX Design Tools: Figma, Sketch, Adobe XD, or similar for wireframing, prototyping, and design handoff.

• Version Control: Git (e.g., GitHub, GitLab, Bitbucket).

Analytics & Reporting:

• Telemetry/Observability: Tools for tracking user behavior, application performance, and errors (e.g., Datadog, Splunk, OpenTelemetry, Sentry).

• BI Tools: Experience with tools like Tableau, Power BI, or Looker for understanding data-driven insights related to product usage.

CRM & Automation:

• API Gateways: Experience working with or understanding API gateway concepts.

• Workflow/Automation Tools: Familiarity with platforms like UiPath, n8n, or custom workflow implementations may be beneficial.

• Cloud Platforms: AWS (Amazon Web Services) is a strong preference, with specific services like Bedrock (for Generative AI) and SageMaker (for ML) being highly relevant.

Other Relevant Technologies:

• Containerization: Docker, Kubernetes.

• CI/CD: Jenkins, GitHub Actions, GitLab CI, or similar.

• Infrastructure as Code (IaC): Terraform, CloudFormation.

• Databases: Familiarity with SQL, NoSQL, Vector Databases, or Graph Databases.

• Backend/Integration: Experience with RESTful APIs, GraphQL, event-driven architectures, microservices.

• Security: OWASP Top 10, identity management, authorization principles.

📝 Enhancement Note: The technology stack emphasizes modern, cloud-native frontend development with a strong emphasis on integration with AI/ML services and robust DevOps practices. Candidates should highlight experience with AWS services relevant to AI/ML and Generative AI.

👥 Team Culture & Values

Operations Values:

• Patient-Centricity: A core value at Amgen, meaning all efforts, including AI development, are ultimately aimed at improving patient lives. This translates to a focus on usability, accessibility, and delivering tangible patient benefits.

• Innovation & Science-Based: Amgen fosters a culture of scientific rigor and innovation. Expect a team that values data-driven decision-making, embraces new technologies, and encourages creative problem-solving.

• Collaboration & Teamwork: The AI Studio operates cross-functionally, requiring strong collaboration across diverse teams (product, UX, engineering, data science, governance). Open communication and a willingness to support colleagues are essential.

• Integrity & Compliance: Given Amgen's role in the pharmaceutical industry, integrity, ethical conduct, and adherence to strict regulatory standards (GxP) are non-negotiable. This applies to data handling, development practices, and product validation.

• Accountability & Ownership: The "AI Studio" model emphasizes accountable ownership of AI assets. This means taking responsibility for the full lifecycle of the products you help build, from concept to measurable value.

Collaboration Style:

• Cross-functional Integration: Expect close working relationships with product managers to understand requirements, UX designers for translating vision into interfaces, and backend/ML engineers for seamless integration of AI models and services.

• Process Review & Feedback: A culture that encourages constructive feedback on designs, code, and processes to drive continuous improvement. Agile methodologies likely support iterative development and regular review cycles.

• Knowledge Sharing: Emphasis on sharing best practices, technical insights, and lessons learned across the team and potentially broader engineering organization, possibly through internal tech talks, documentation, or code reviews.

📝 Enhancement Note: Amgen's established values, particularly patient-centricity and integrity within a regulated industry, will heavily influence the team's operational focus. Candidates should be prepared to articulate how their work aligns with these principles.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging AI Complexity and User Experience: Translating sophisticated AI/ML models, LLMs, and RAG systems into intuitive, understandable, and actionable user interfaces presents a significant challenge. Balancing advanced functionality with ease of use requires innovative design and development.

• Navigating Regulated Environments (GxP): Ensuring UI development adheres to stringent GxP regulations, including validation, auditability, and robust testing, adds complexity and requires meticulous attention to detail.

• Keeping Pace with AI Advancements: The AI landscape is rapidly evolving. Staying current with new models, techniques (e.g., Generative AI, advanced agents), and best practices while delivering production-ready solutions is an ongoing challenge.

• Cross-functional Alignment: Achieving seamless collaboration and alignment across diverse teams with different priorities and technical backgrounds (e.g., ML engineers, backend developers, product managers, compliance officers) requires strong communication and negotiation skills.

Learning & Development Opportunities:

• AI/ML Frontend Specialization: Gain deep expertise in building user interfaces for cutting-edge AI technologies, including Generative AI, RAG, and complex ML model integrations.

• Industry Best Practices: Learn and apply best practices for developing software in a highly regulated pharmaceutical/biotech environment, including GxP compliance, validation, and security protocols.

• Advanced Frontend Architecture: Develop skills in building scalable, performant, and accessible frontend architectures using modern frameworks like React and Next.js, potentially exploring new rendering patterns and state management solutions.

• Leadership Development: Opportunities to mentor junior developers, lead technical initiatives, and influence architectural decisions, paving the way for Tech Lead or Architect roles.

• Exposure to Diverse AI Applications: Work on a variety of AI projects across different therapeutic areas and business functions within Amgen, broadening your understanding of AI's impact on the healthcare industry.

📝 Enhancement Note: The challenges inherent in this role are significant but also present substantial opportunities for professional growth and skill development, particularly in the rapidly expanding field of AI within healthcare.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led the end-to-end development of a complex UI feature or product. What was your process, what challenges did you face, and what were the measurable outcomes?" (Focus on ownership, process, problem-solving, and results.)

• "How would you approach designing a user interface for a Generative AI application that needs to provide clear evidence for its outputs and allow for user correction or feedback?" (Assess understanding of AI UI challenges, user control, and iterative design.)

• "Walk me through your process for ensuring a web application is accessible to users with disabilities, specifically considering WCAG 2.1 AA/AAA standards." (Demonstrate knowledge of accessibility best practices and implementation.)

• "How do you collaborate with backend engineers and data scientists to define API contracts and integrate complex data or model outputs into a frontend application?" (Evaluate communication, collaboration, and technical integration skills.)

• "Imagine you discover a critical security vulnerability or a major performance bottleneck in a production UI. How would you approach diagnosing and resolving it, especially in a GxP-regulated environment?" (Test troubleshooting, incident response, and regulatory awareness.) Company & Culture Questions:

• "Why are you interested in Amgen, and specifically in working with AI technologies within the pharmaceutical industry?" (Assess motivation, industry interest, and alignment with Amgen's mission.)

• "How do you stay updated on the latest trends in frontend development and AI technologies?" (Gauge proactivity and commitment to continuous learning.)

• "Describe a situation where you had to influence stakeholders or team members with a different technical perspective. How did you approach it?" (Evaluate communication, persuasion, and leadership skills.)

• "How do you balance the need for rapid development and innovation with the requirements for rigorous testing and compliance in a regulated industry?" (Assess understanding of trade-offs and adherence to standards.) Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly define the "Problem," "Your Role," "Solution/Design," "Technical Implementation," and "Results/Impact." Use visual aids effectively.

• Quantify Your Impact: Whenever possible, use metrics to demonstrate the success of your work (e.g., % increase in user engagement, % reduction in task completion time, improvement in conversion rates, adoption metrics).

• Highlight Collaboration: Explicitly mention how you worked with different teams (Product, UX, Backend, ML) and the contributions of others, while clearly defining your specific responsibilities and achievements.

• Technical Depth: Be ready to dive into the technical details of your implementation, including architectural choices, challenges overcome (e.g., performance, integration issues), and the specific tools and frameworks used.

• AI/ML Integration Focus: If applicable, clearly explain how your UI facilitated interaction with AI/ML models, handled data, or presented complex information from these systems.

📝 Enhancement Note: Interview preparation should emphasize not only technical skills but also the ability to articulate process, impact, and collaboration, particularly within the context of Amgen's industry and the AI Studio's mission.

📌 Application Steps

To apply for this Senior UI Developer, AI Studio position:

• Submit your application through the Amgen Careers portal via the provided URL.

• Portfolio Customization: Tailor your resume and cover letter to highlight experience in JavaScript/TypeScript, React, Next.js, UX design, and any relevant AI/ML integration or regulated industry experience. Ensure your portfolio prominently features projects demonstrating end-to-end ownership and measurable outcomes.

• Resume Optimization: Clearly list your years of experience and specific skills that align with the "Must-Have" and "Preferred" qualifications. Use keywords from the job description (e.g., AI Studio, Generative AI, RAG, accessibility, GxP, React, Next.js).

• Interview Preparation: Practice articulating your project experiences using the STAR method (Situation, Task, Action, Result). Prepare to discuss your approach to complex UI development, collaboration, problem-solving, and your understanding of AI concepts from a user interface perspective. Be ready to present your portfolio effectively.

• Company Research: Familiarize yourself with Amgen's mission, therapeutic areas, and recent AI initiatives. Understand the importance of GxP compliance and patient-centricity in their operations. Research the AI Studio's role within the broader AI & Data Science organization.

⚠️ 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.