Principal Designer (R5250)

📍 Job Overview

Job Title: Principal Designer (R5250)

Company: Shield AI

Location: San Diego, California; Washington, DC; San Francisco, California; Dallas, Texas; Remote; United States

Job Type: Full Time Employee

Category: Product Design / UX Engineering

Date Posted: 2026-06-19

Experience Level: 10+ Years

Remote Status: Hybrid

🚀 Role Summary

• Drive the design and development of cutting-edge agentic AI products, including enterprise knowledge assistants and AI-driven engineering platforms, by translating complex requirements into intuitive user experiences.

• Function as a senior individual contributor within the Special Projects team, a group of elite software engineering experts focused on steering technology development and impacting foundational software products across the organization.

• Prototype and ship production-quality React/TypeScript implementations, not just mockups, demonstrating end-to-end ownership from research through to deployed solutions.

• Define and implement core interaction patterns for agentic software, including streaming responses, citation and provenance mechanisms, multi-modal input, artifact sharing, and human-in-the-loop review processes.

📝 Enhancement Note: While this role is titled "Principal Designer," the description strongly indicates a hybrid UX Engineering/Product Design role with significant hands-on coding responsibilities in React/TypeScript. The "Special Projects team" operates at a high level of ambiguity, requiring individuals who can rapidly deliver low-TRL solutions and act as a pipeline for product and solution engineering teams. This is not a purely visual or UX research role; it demands a strong engineering foundation.

📈 Primary Responsibilities

• Design and build user experiences for agentic AI products, including the enterprise knowledge assistant (Brain) and an agent-driven engineering platform (Springboard).

• Develop production-quality React/TypeScript implementations, ensuring successful landing in production environments with product teams.

• Design the core interaction patterns for agentic software, such as streaming responses, citation and provenance, multi-modal input, artifact sharing, and human-in-the-loop review and approval surfaces.

• Create interfaces for foundation-model based autonomy architectures and model lifecycle tooling, including evaluation dashboards, trace inspection, observability, and verification surfaces.

• Conduct comprehensive user research with engineers, operators, and executives, define personas, and translate research findings into actionable design decisions.

• Investigate and synthesize competitive landscape analysis of agentic and enterprise AI products for engineering and product leadership.

• Establish and promote reusable design patterns and a component vocabulary for AI applications across Shield AI.

• Drive adoption of designed solutions by instrumenting shipped features, monitoring real usage data, and iterating daily based on performance and feedback.

📝 Enhancement Note: The responsibilities emphasize a hands-on, code-driven approach to design, directly impacting foundational software products like Hivemind's EdgeOS, Pilot, Forge, and Commander. The "Special Projects team" context implies a need for individuals who can operate with significant autonomy and drive initiatives across multiple product areas.

🎓 Skills & Qualifications

Education: While no specific degree is explicitly required, the extensive experience and technical depth suggest a Bachelor's or Master's degree in Computer Science, Human-Computer Interaction, Design, or a related field would be highly beneficial.

Experience: 12+ years of experience designing and building production software interfaces, demonstrating end-to-end ownership from initial research through to shipped product.

Required Skills:

• Expert-level proficiency in React and TypeScript, with the ability to write production-quality front-end code.

• A strong portfolio showcasing shipped tools or applications that demonstrate exceptional interaction design and visual craft.

• Hands-on experience designing and implementing LLM-powered user experiences, including features like streaming responses, progressive rendering, context management, and conversation management.

• Deep understanding of client-side and UI state management, the Document Object Model (DOM), browser APIs, WebSockets, and Server-Sent Events (SSE).

• Proven experience in conducting user research and usability testing, with a demonstrated ability to act decisively on findings.

• Solid software hygiene practices, including proficiency with Git, code review processes, testing methodologies, and Continuous Integration/Continuous Deployment (CI/CD) pipelines.

• Fluid intelligence and adaptability to operate effectively in ambiguous conditions, identifying opportunities to drive technical initiatives and multiply team impact.

• Experience with Linux environments, Docker containerization, and at least one major cloud platform (Azure, GCP, AWS). Preferred Skills:

• Experience designing developer tools, Integrated Development Environments (IDEs), or engineering workflow products.

• Data visualization expertise, with familiarity in libraries like D3.js or WebGL, and experience building dashboards; geospatial visualization experience is a plus.

• Experience in building or maintaining a comprehensive design system.

• Experience designing debugging and inspection UIs specifically for generative AI systems.

• Familiarity with Electron or similar frameworks for building desktop applications.

• Experience in user experience design for video games or interactive media.

• Experience designing for "low code" or "no code" systems.

• Comfort reading and understanding C++ and/or Python and/or Go codebases.

📝 Enhancement Note: The "Principal" title, combined with 12+ years of experience and expert-level coding skills, indicates a senior, highly autonomous role. The emphasis on shipping code and production quality suggests this is a "10x engineer" profile, blending deep design thinking with robust software engineering capabilities. The "fluid intelligence" requirement points to a need for individuals comfortable with rapid iteration and evolving project scopes.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate end-to-end ownership of shipped software interfaces, from initial research and concept development through to production deployment.

• Showcase examples of production-quality React/TypeScript code, highlighting your ability to build robust, scalable front-end applications.

• Include case studies of LLM-powered experiences you have designed, detailing the interaction patterns, challenges, and solutions implemented.

• Present evidence of user research conducted and how findings directly influenced design decisions and product outcomes.

• Feature examples of your contributions to design systems, reusable component libraries, or UX patterns for AI applications. Process Documentation:

• Document your approach to user research, including methodologies, participant recruitment, and analysis techniques.

• Outline your process for translating user needs and technical constraints into detailed design specifications and interactive prototypes.

• Detail your workflow for collaborating with engineering teams, from initial design handoff to iterative development and production support.

• Showcase your methods for establishing and maintaining design patterns and component libraries to ensure consistency and efficiency across AI applications.

• Provide examples of how you instrument and monitor deployed features to gather usage data and drive continuous iteration.

📝 Enhancement Note: The emphasis on "shipping working React/TypeScript implementations, not mockups" and "land them in production with the product teams" is critical. A portfolio for this role must heavily feature demonstrable software engineering contributions and the impact of those contributions on deployed products, rather than solely static design artifacts.

💵 Compensation & Benefits

Salary Range: $230,000 - $340,000 USD per year.

Benefits:

• Bonus eligibility.

• Comprehensive benefits package (details not specified, but typically includes health, dental, vision insurance).

• Equity in Shield AI.

• Temporary employee offer package includes temporary benefits applicable after 60 days of employment.

Working Hours: 40 hours per week is standard for a full-time employee. The role requires travel to a Shield AI location 1-3 times per quarter, necessitating flexibility in schedule to accommodate project needs and travel.

📝 Enhancement Note: The salary range is competitive for a Principal-level role with significant technical expertise in a high-demand field like AI and front-end development. The inclusion of bonus, benefits, and equity indicates a comprehensive compensation package. The travel requirement suggests a hybrid work model where on-site collaboration is expected periodically. Researching San Diego, CA, and Washington D.C. cost of living indicates a high cost of living, justifying the upper end of the salary range for these locations. Dallas, TX, offers a lower cost of living, potentially influencing salary adjustments based on assigned primary work location.

🎯 Team & Company Context

🏢 Company Culture

Industry: Defense-Tech / Artificial Intelligence / Robotics / Aerospace. Shield AI is at the forefront of developing intelligent systems for defense applications, aiming to protect service members and civilians. This industry is characterized by rapid innovation, high stakes, and a mission-driven culture.

Company Size: Shield AI is a venture-backed company. While the exact current employee count isn't listed, the "Special Projects team" is described as consisting of "very senior (L5-L8) and highly experienced software engineering experts," implying a mature and highly skilled engineering organization. The company has offices and facilities globally, indicating significant growth and operational scale.

Founded: 2015. Shield AI has a relatively short but impactful history, rapidly establishing itself as a leader in defense AI. This suggests a fast-paced, agile, and growth-oriented environment.

Team Structure:

• The "Special Projects team" is part of the Office of the CTO, comprising senior engineers tasked with technology strategy, tactical insertion, and rapid development of low-TRL solutions.

• This team operates with a high degree of autonomy and works closely with product teams across the organization.

• Individuals on this team are expected to gain breadth and depth across the entire Hivemind software ecosystem (EdgeOS, Pilot, Forge, Commander). Methodology:

• The Special Projects team operates effectively within ambiguity, driving technology development towards strategic alignment with the CTO's vision.

• They contribute directly to foundational Hivemind products and develop reference implementations.

• The team acts as a pipeline for talent into product and solution engineering teams.

• Emphasis is placed on "forward-sprinting" development and rapid delivery of solutions.

Company Website: https://www.shield.ai

📝 Enhancement Note: The company's mission in defense-tech, coupled with its rapid growth and focus on AI, suggests a demanding yet rewarding environment. The Special Projects team's charter implies a culture that values innovation, technical excellence, and the ability to navigate complex, evolving challenges.

📈 Career & Growth Analysis

Operations Career Level: This role is at the Principal level (equivalent to L5-L8 within Shield AI's structure), signifying a highly experienced individual contributor with significant technical leadership and influence. It is a role focused on driving strategic technical initiatives and impacting multiple product areas rather than managing a team directly.

Reporting Structure: The role is within the Special Projects team, reporting to leadership within the Office of the CTO. This team operates with significant autonomy but collaborates closely with various product and solution engineering teams across the organization.

Operations Impact: The Principal Designer will have a profound impact on the development and user experience of Shield AI's core AI products, including the Hivemind ecosystem. By designing and shipping production-ready interfaces for agentic AI, foundation models, and autonomy architectures, this role directly influences the usability, effectiveness, and adoption of critical technologies that support Shield AI's mission. Their work will also help shape the future direction of AI application design within the company.

Growth Opportunities:

• Technical Leadership: Opportunity to lead technology development efforts and define best practices for AI application design and development across the organization.

• Skill Specialization: Deepen expertise in designing and engineering LLM-powered experiences, agentic AI systems, and complex autonomy architectures.

• Cross-Functional Exposure: Gain broad understanding of Shield AI's entire Hivemind software ecosystem and work across diverse product and engineering teams.

• Career Advancement: Potential to transition into lead architect, principal engineer, or specialized leadership roles within product development or the Special Projects team itself.

• Industry Influence: Contribute to cutting-edge advancements in defense AI, with potential for thought leadership and external recognition.

📝 Enhancement Note: The Principal Designer role is positioned as a high-impact individual contributor role within a specialized, elite team. Growth is framed around deepening technical expertise, expanding influence across the organization, and potentially leading significant technical initiatives. The "pipeline" aspect of the Special Projects team also suggests that successful individuals may be well-positioned for leadership roles in product development.

🌐 Work Environment

Office Type: Shield AI operates with a hybrid work model. The role requires travel to a Shield AI location 1-3 times per quarter, indicating that while remote work is supported, in-person collaboration is valued and expected for key team interactions.

Office Location(s): San Diego, California; Washington, DC; San Francisco, California; Dallas, Texas. Remote work within the United States is also an option.

Workspace Context:

• Collaboration is key, with a need to work shoulder-to-shoulder with product teams and within the Special Projects team.

• Access to advanced tools and technologies is implied, given the cutting-edge nature of AI development and the company's focus on robotics and autonomy.

• The "Special Projects team" environment is described as operating effectively within ambiguity, suggesting a dynamic and intellectually stimulating workspace.

• Expectation of creating and shipping production-grade code, implying robust development environments and CI/CD pipelines.

Work Schedule: Standard 40-hour work week for full-time employees. However, the nature of operating in ambiguity and the defense-tech sector may necessitate flexibility and a willingness to adapt to project timelines and urgent needs. Travel is a component of the role.

📝 Enhancement Note: The hybrid model offers flexibility but requires periodic on-site presence for collaboration. The dynamic nature of the Special Projects team suggests a fast-paced, intellectually challenging work environment where initiative and adaptability are highly valued.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications, focusing on alignment with required experience, skills, and portfolio content.

• Technical Interviews: Expect multiple rounds of technical interviews. These will likely include:

  • Coding Challenges: Hands-on coding assessments in React/TypeScript, focusing on building UI components, state management, and implementing interaction patterns.
  • System Design/Architecture: Discussions on how to design scalable and robust front-end architectures for complex AI applications.
  • LLM/Agentic AI Design: Scenario-based questions on designing user experiences for AI agents, handling streaming data, citations, and human-in-the-loop interactions.
  • User Research & Strategy: Questions about your process for conducting user research, translating insights into design, and developing product strategy.

• Portfolio Review: A dedicated session to walk through your portfolio. Be prepared to discuss your design process, technical implementation details, challenges faced, and the impact of your work on shipped products.

• Manager/Team Interviews: Meetings with the hiring manager and potential team members from the Special Projects team to assess cultural fit, collaboration style, and problem-solving approach.

• Final Round: Potentially a discussion with senior leadership or the CTO.

Portfolio Review Tips:

• Show, Don't Just Tell: Prioritize showcasing shipped products or significant contributions to production software. Quantify impact with metrics where possible (e.g., adoption rates, efficiency gains, user satisfaction improvements).

• Code is King: Since this role requires shipping production code, ensure your portfolio demonstrates strong React/TypeScript skills. Link to GitHub repositories (if public) or provide code samples that highlight your engineering capabilities.

• Process Clarity: Clearly articulate your design process, from user research and ideation to prototyping, coding, and iteration. Explain why you made specific design and technical decisions.

• LLM/Agentic AI Focus: Highlight any experience with LLM-powered applications, streaming interfaces, or complex AI interaction patterns. Detail the unique challenges and solutions.

• End-to-End Ownership: Emphasize instances where you owned a feature or product from inception to deployment, demonstrating your ability to navigate ambiguity and deliver results independently.

• Prepare to Discuss Ambiguity: Be ready to discuss how you approach projects with unclear requirements or evolving scopes, drawing from your experience.

Challenge Preparation:

• React/TypeScript Mastery: Refresh your knowledge of modern React patterns (hooks, context API, performance optimization), TypeScript best practices, and common front-end libraries.

• LLM UX Patterns: Study current best practices and emerging patterns for LLM interfaces, conversational AI, and agentic systems. Consider how to present information, handle errors, manage context, and enable user control.

• Problem-Solving Scenarios: Practice breaking down complex design and technical problems, articulating potential solutions, and evaluating trade-offs.

• Company Research: Understand Shield AI's mission, products (Hivemind, V-BAT, X-BAT), and the role of AI in defense technology. Connect your experience to their strategic goals.

📝 Enhancement Note: The interview process heavily emphasizes practical application and demonstrable engineering skills. A portfolio that showcases shipped code and quantifiable impact will be significantly more valuable than one focused solely on visual design or conceptual mockups. The "Special Projects team" context means candidates must be comfortable with ambiguity and rapid iteration.

🛠 Tools & Technology Stack

Primary Tools:

• Front-end Development: Expert-level React, TypeScript. Deep knowledge of client-side state management (e.g., Redux, Zustand, Context API), DOM manipulation, browser APIs, WebSockets, and Server-Sent Events (SSE).

• Version Control: Git, proficiency in code review processes.

• Build & Deployment: CI/CD pipelines, experience with build tools and deployment strategies.

• Containerization: Docker.

• Cloud Platforms: Familiarity with at least one major cloud provider (Azure, GCP, AWS).

Analytics & Reporting:

• Experience with instrumentation for usage tracking and performance monitoring.

• Potential use of analytics dashboards for observing real user behavior and iterating on designs.

• Data visualization tools (e.g., D3.js, WebGL) may be utilized, especially for preferred qualifications.

CRM & Automation: Not directly indicated as primary tools for this role, but understanding how front-end applications integrate with back-end services and potentially data platforms is crucial.

Other Potential Tools (from description & preferred qualifications):

• Design Systems: Experience building or maintaining design systems.

• Developer Tools: Experience designing IDEs or engineering workflow products.

• Debugging/Inspection: UIs for generative AI systems.

• Desktop App Frameworks: Electron (or similar).

• Programming Languages (for context/reading): C++, Python, Go.

📝 Enhancement Note: The core technical stack revolves around modern front-end development (React/TypeScript) and related web technologies. While not directly developing in C++, Python, or Go, comfort reading these languages is a significant advantage given the team's operational context within the Hivemind ecosystem.

👥 Team Culture & Values

Operations Values:

• Mission-Driven: A strong commitment to Shield AI's mission of protecting service members and civilians with intelligent systems.

• Technical Excellence: A culture that values deep technical expertise, innovation, and the delivery of high-quality, production-ready software.

• Ambiguity Tolerance & Proactiveness: Ability to operate effectively in ambiguous environments, take initiative, and drive technical efforts forward.

• Collaboration & Teamwork: Working shoulder-to-shoulder with product teams, contributing to a collective effort to build cutting-edge AI.

• Impact & Results-Oriented: Focus on shipping functional code, driving adoption, and demonstrating tangible impact through user behavior and product performance.

• Continuous Learning: Encouragement to constantly learn and adapt to the rapidly evolving landscape of AI and software development.

Collaboration Style:

• Cross-Functional Integration: Close collaboration with product teams, engineers, and leadership across the organization.

• Direct Contribution: Actively contributing code and design solutions alongside product engineers.

• Feedback Loops: Emphasis on instrumenting, observing, and iterating daily based on real usage data and feedback.

• Knowledge Sharing: The Special Projects team acts as a pipeline, suggesting a culture of sharing knowledge and expertise across different engineering groups.

📝 Enhancement Note: The culture appears to be highly technical, mission-focused, and fast-paced. The Special Projects team embodies a spirit of innovation and problem-solving, thriving on complex challenges and driving strategic technological advancements within the company.

⚡ Challenges & Growth Opportunities

Challenges:

• Operating in Ambiguity: Navigating projects with ill-defined scopes and rapidly evolving requirements inherent to the Special Projects team's charter.

• Rapid Iteration & Shipping: The expectation to not just prototype but to ship production-quality code quickly and continuously iterate based on real-world usage.

• Complex AI Systems: Designing intuitive user experiences for advanced AI architectures, foundation models, and autonomy systems that are inherently complex.

• Cross-Functional Alignment: Ensuring design and development efforts align with the strategic vision of the CTO and the needs of diverse product teams.

• Balancing Innovation with Production Needs: Delivering novel solutions while ensuring they are robust, scalable, and can be effectively integrated into production environments.

Learning & Development Opportunities:

• Deep Dive into AI/Autonomy: Gain unparalleled expertise in the design and development of agentic AI, foundation models, and autonomous systems for defense applications.

• Advanced Front-End Engineering: Hone skills in React, TypeScript, and modern web technologies within a high-performance engineering environment.

• Strategic Technical Leadership: Develop capabilities in steering technology direction, influencing product roadmaps, and driving strategic initiatives.

• Cross-Disciplinary Exposure: Learn from and collaborate with experts in robotics, aerospace, and various software engineering domains.

• Industry Trends: Stay at the forefront of AI and UX design trends, applying them to real-world, high-impact products.

📝 Enhancement Note: The challenges are directly tied to the innovative and high-stakes nature of Shield AI's work and the specific mandate of the Special Projects team. Growth opportunities are focused on deepening technical mastery, expanding strategic influence, and gaining unique experience in a cutting-edge field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design a complex user experience for an AI-powered product. What were the key challenges, and how did you address them?" (Focus on LLM/agentic AI patterns, user research, and technical implementation).

• "How do you approach balancing rapid prototyping with the need to build production-quality code? Can you give an example from your portfolio?" (Highlight your React/TypeScript skills and experience shipping code).

• "Imagine you're tasked with designing an interface for debugging a complex autonomy system. What would be your first steps, and what key features would you prioritize?" (Demonstrate your problem-solving approach and understanding of observability/verification surfaces).

• "How do you ensure your designs are adopted and effectively used by the target audience, especially in a technical domain like engineering or defense operations?" (Discuss your approach to driving adoption, monitoring usage, and iterating). Company & Culture Questions:

• "Why are you interested in Shield AI's mission, and how do you see your skills contributing to it?" (Research Shield AI's products and strategic goals).

• "How do you thrive in ambiguous environments or when requirements are not fully defined?" (Prepare examples of how you've navigated uncertainty and driven projects forward).

• "Describe your experience working within or alongside highly technical teams (e.g., senior software engineers, robotics experts)." (Showcase your collaboration and communication skills). Portfolio Presentation Strategy:

• Structure for Impact: Organize your portfolio around key projects that demonstrate end-to-end ownership, shipping production code, and significant UX/technical achievements.

• Quantify Results: For each project, clearly state the problem, your role, the solution (design and technical), and the quantifiable impact (e.g., metrics, user feedback, adoption).

• Code Integration: Be prepared to discuss the code you wrote, architectural decisions, and how your design decisions translated into functional React/TypeScript components.

• Focus on LLM/Agentic AI: Highlight any relevant experience designing for AI, streaming data, or conversational interfaces.

• Tell a Story: Weave a narrative that showcases your problem-solving skills, technical prowess, and ability to deliver value.

📝 Enhancement Note: Interview preparation should heavily emphasize practical coding skills, a clear understanding of LLM UX patterns, and the ability to articulate the impact of your work. The "Special Projects" nature means interviewers will probe your comfort with ambiguity and your proactive approach to driving technical initiatives.

📌 Application Steps

To apply for this Principal Designer position:

• Submit your application through the provided link on Shield AI's careers page.

• Tailor your resume to highlight your 12+ years of experience in production software interface design, expert-level React/TypeScript skills, and any experience with LLM-powered applications or agentic AI. Quantify achievements wherever possible.

• Prepare your portfolio with a strong emphasis on shipped products and demonstrable contributions to production code. Ensure it clearly showcases your end-to-end ownership, user research impact, and technical implementation details.

• Practice your portfolio walkthrough to articulate your design process, technical solutions, and the measurable impact of your work concisely and effectively. Be ready to discuss your approach to ambiguity and rapid iteration.

• Research Shield AI thoroughly, understanding their mission, products (Hivemind, V-BAT, X-BAT), and the role of AI in defense technology. Prepare thoughtful questions about the Special Projects team, the company's technical direction, and the challenges of designing for agentic AI.

⚠️ 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.