Senior UI Developer, AI Studio

Roles & Responsibilities

• Lead user-centred discovery with product and UX partners: define user needs, workflows, roles, intended use, baseline, acceptance criteria, accessibility needs, adoption path, operating owner, value hypothesis and measurable technical and business outcomes.
• Translate user research, journeys, workflows, rules, handoffs, exceptions, data dependencies and human decision points into clear UX designs, interaction patterns, prototypes and implementable UI requirements.
• Own the translation of UX designs into responsive UI frontend architecture across human-AI experience, design systems, component composition, state, secure sessions, accessibility, browser performance, API integration, telemetry and graceful failure.
• Lead modern UI delivery using JavaScript or TypeScript and React, Next.js or comparable component-based frameworks; turn UX designs and prototypes into accessible, performant production interfaces, and contribute full-stack expertise to API contracts, integrations, data flows and production support as needed.
• Design and implement human-AI UX and UI experiences that integrate model services, LLMs, RAG, search, agents, BI and deterministic automation with access-aware data, clear loading and error states, evidence, human control, feedback and traceable outcomes.
• Establish risk-based UI, accessibility, integration and end-to-end testing; contribute to CI/CD, staged release, telemetry, rollback, incident response, browser performance, runbooks and support ownership.
• Coordinate governance and GxP controls, create reusable UI components, patterns and playbooks, lead root-cause analysis, measure adoption and experience quality, mentor engineers and improve frontend delivery practices.

Basic Qualifications and Experience

• 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
• UX design, frontend and human-AI engineering: User research, journeys, information architecture, interaction design, wireframes, prototypes, accessible frontend architecture, component design, state, forms, secure sessions, streaming, review, correction, approval, uncertainty, feedback, telemetry and recoverable failure.
• Full-stack integration and application architecture: API contracts, services, events, workflows, persistence, enterprise integrations, data flows, authentication, authorization, resilience and supportable user experiences.
• AI-enabled product experiences: Production integration of predictive ML, foundation models, embeddings, vector or graph retrieval, RAG, structured output, bounded agents, document or vision capabilities, BI and deterministic workflows with clear human oversight.
• Testing, cloud, DevSecOps and reliability: Representative testing and AI evaluation, repository governance, architecture decisions, CI/CD, infrastructure as code, quality gates, staged release, SLOs, observability, incidents, rollback, disaster recovery and FinOps.
• Security, Responsible AI and regulated delivery: Identity, authorization, least privilege, tenant isolation, secrets, OWASP, supply-chain controls, privacy, threat modeling, prompt/tool safeguards, validation, auditability, accessibility and GxP evidence.

Must-Have 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 experience translating 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 ability to partner with backend, data and ML specialists on deeper service, model, RAG, agent and MLOps decisions.

Preferred Skills

• UX design and advanced frontend platforms: Experience with user research, journey mapping, interaction design, wireframing, prototyping, design systems, React, Next.js or comparable rendering patterns, multimodal or collaborative interfaces, data visualization, advanced accessibility and safe AI review or approval experiences.
• Enterprise integration and full-stack delivery: Experience with API gateways, REST or GraphQL APIs, event platforms, durable workflows, stream processing, service mesh, asynchronous updates and enterprise integration architecture.
• Advanced AI and automation engineering: Experience with vector or graph databases, graph or multimodal retrieval, model and agent gateways, MCP-style tool integration, durable agents, agent evaluation, process mining, UiPath or n8n.
• Cloud, platform and developer experience: Experience with AWS, Bedrock or SageMaker, Databricks, Spark, Kubernetes, serverless services, infrastructure as code, OpenTelemetry, policy as code or internal developer platforms.
• Regulated systems and technical breadth: Experience delivering GxP-relevant, validated, pharmaceutical, healthcare or other high-impact systems and evaluating emerging technologies pragmatically.
• Product thinking and ability to connect user research, UX design, accessibility and frontend delivery decisions to measurable user, workflow and business value.
• Strong technical leadership, mentoring and ownership while remaining hands-on.
• Excellent analytical judgment, troubleshooting 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 continuous improvement through incidents, feedback, reuse and measured outcomes.