Integration Developer/UX Eng. Conversational AI & Immersive Character

Lockheed Martin•Fort Worth, CO

1d•Remote

About The Position

Lockheed Martin's Enterprise Business & Digital Transformation (EBDT) organization is advancing its Conversational AI and Immersive Character capabilities in support of training utilities, digital twin applications, employee assistants, and enterprise-wide productivity tools. The Advanced Solutions Division within EBDT is seeking a Platform / Infrastructure Engineer to build, operate, and scale the cloud-native infrastructure that powers these capabilities across the enterprise. The candidate in this role is responsible for the developer experience and user experience of the Conversational AI platform. On the developer side, this includes building SDK integration patterns, starter templates, documentation, and tooling that enable distributed application teams across Lockheed Martin to rapidly adopt AI character capabilities in their own products — whether those are web applications, Unity environments, Unreal Engine simulations, or XR experiences. On the user experience side, this includes designing and implementing the self-service portal where character creators assemble Character Triples (avatar + personality + knowledge base), as well as ensuring that the end-user interactions with AI characters across all platforms are intuitive, accessible, and demonstrably productive. This role requires a full-stack developer with strong UX sensibility who can work fluidly across JavaScript/TypeScript, Unity (C#), and Unreal Engine (Blueprints/C++) ecosystems. The Integration Developer & UX Engineer works closely with the Systems/AI Architect on integration patterns, with the Platform Engineer on SDK pipeline delivery, and with character personality and knowledge teams to ensure the self-service tooling surfaces their capabilities effectively. They will also partner directly with application integrator teams across the enterprise — providing guidance, reference implementations, and hands-on support to accelerate adoption.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Human-Computer Interaction, or a related technical discipline.
Full-stack development proficiency with demonstrated experience in JavaScript/TypeScript (React, Angular, or Vue) for web applications
Experience developing in at least one 3D engine environment — Unity (C#) or Unreal Engine (Blueprints/C++)
Demonstrated UX design skills — ability to conduct user research, create wireframes and prototypes, design intuitive interfaces, and iterate based on user feedback
Experience building developer-facing tooling: SDKs, starter templates, API wrappers, CLI tools, or developer documentation
Understanding of applied AI techniques including prompt engineering, utilization of code assistants, proper selection of foundation models for specific use cases, and a basic understanding of RAG and other knowledge recall patterns
Experience with REST APIs, WebSocket/gRPC communication, and asynchronous programming patterns
Familiarity with Git workflows, CI/CD pipelines, and artifact management
Strong written communication skills — ability to produce clear, concise technical documentation and integration guides
Must be a US Citizen

Nice To Haves

Experience with both Unity and Unreal Engine — ability to work across both ecosystems
Experience integrating conversational AI, chatbot, or virtual assistant SDKs into applications
Familiarity with voice interaction technologies — WebRTC, speech-to-text, text-to-speech, lip sync
Experience with avatar systems, character animation, blend shapes, and MetaHuman workflows
Knowledge of accessibility standards (WCAG) and inclusive design practices for conversational interfaces
Experience with design systems and component libraries — building reusable UI components at enterprise scale
Familiarity with A/B testing frameworks and user behavior analytics
Experience with npm package management, Nexus repositories, and SDK versioning/distribution strategies
Knowledge of spatial computing, XR development (Quest, Vive), and immersive UX patterns
Experience with Enterprise Search or RAG-based knowledge retrieval systems
Familiarity with Model Context Protocol (MCP) or AI agent action frameworks
Prior experience in aerospace & defense or large-scale enterprise IT environments
Understanding of ITAR, CUI, and classified environment considerations

Responsibilities

Design, develop, and maintain SDK integration patterns for the Conversational AI platform across Web (JavaScript/TypeScript), Unity (C#), and Unreal Engine (Blueprints/C++) stacks
Build and maintain GitLab starter templates for each target platform — including pre-configured authentication, character binding patterns, sample UIs, telemetry hooks, and CI/CD pipeline definitions
Develop the LM Integration SDK wrappers that abstract the underlying vendor API (Convai) behind a stable internal interface, ensuring loose coupling and platform replaceability
Design and implement the self-service Character Triple management portal — enabling creators to select avatars, configure personalities, connect knowledge bases, test characters via sample call utilities, and publish Character IDs
Own the UX design and front-end implementation for all platform-facing interfaces, including the self-service portal, character interaction widgets, admin dashboards, and developer documentation sites.