Front-End AI Engineer: Agentic AI Studio & Agentic AI as a Service Specialist

Accenture•Mountain View, CA

About The Position

Accenture is seeking a front-end engineer to build and evolve its Agentic AI Studio, a cloud-based platform that enables users to create, customize, deploy, and manage AI agents through no-code experiences. The role also develops Agentic AI-as-a-Service solutions that turn advanced AI capabilities into practical experiences for business needs. The work covers end-user, AI creator, stakeholder, developer, and client solution experiences. It includes conversational, graphical, and multimodal interfaces; no-code agent creation and configuration tools; dashboards and information visualizations; developer environments for custom agent skills; and client-facing applications integrated with existing systems and workflows. The engineer will make complex AI capabilities, data, and workflows accessible to technical and nontechnical users. The role collaborates with product designers, AI researchers and engineers, client teams, and business stakeholders on prototyping, innovation, demonstrations, and production delivery. Depending on experience and seniority, it may include technical leadership in front-end architecture, design systems, visualization frameworks, reusable components, and engineering practices. Travel may be required and can range from 0% to 100%, depending on business needs and client requirements.

Requirements

At least 3 years of experience as a front-end, full-stack, or software engineer building and supporting production software applications.
At least 3 years of experience applying computer science fundamentals, including software architecture, system design, and programming.
At least 2 years of experience developing modern web applications using JavaScript, TypeScript, React, Next.js, Angular, Vue, or similar frameworks.
Experience designing and implementing graphical user interfaces, interactive web applications, or data visualization interfaces.
At least 2 years of experience building and deploying applications in cloud environments.
Bachelor's degree or equivalent, with a minimum of 12 years of work experience; applicants with an associate's degree must have at least 6 years of work experience.
A development portfolio of past front-end work is strongly encouraged and highly recommended.

Nice To Haves

Extensive experience in one or more programming languages, such as Python, Java, C++, or Clojure.
Strong proficiency in JavaScript, TypeScript, React, Next.js, HTML5, CSS3, and modern front-end development practices.
Experience creating intuitive, visually compelling, responsive, production-ready graphical user interfaces.
Familiarity with UI frameworks and design systems such as Material UI, Ant Design, and Tailwind CSS.
Experience translating UX/UI designs from Figma into production-ready applications.
Understanding of human-centered design, usability, accessibility, and Human-Computer Interaction principles.
Hands-on experience developing interactive dashboards, data visualizations, exploratory analytics interfaces, or complex information displays.
Proficiency with visualization libraries such as D3.js, Recharts, Plotly.js, Apache ECharts, Chart.js, or Highcharts.
Experience building interactive graph, network, or workflow visualizations using React Flow, Cytoscape.js, or similar tools.
Ability to translate complex data, relationships, and AI-generated insights into clear, actionable, and engaging visual experiences.
Experience developing applications powered by Generative AI, LLM APIs, AI agents, or agentic AI systems.
Entrepreneurial mindset and passion for emerging technologies, rapid innovation, and tangible business outcomes.
Master's degree or higher in Computer Science, Software Engineering, Human-Computer Interaction, Information Visualization, or a related field.

Responsibilities

Design and develop graphical interfaces for conversational, visual, and multimodal interactions with AI agents.
Develop human-AI collaboration experiences for feedback, clarification, approvals, supervision, intervention, and escalation.
Create experiences that help users understand AI-generated insights, recommendations, decisions, and actions.
Build AI-assisted agent development experiences, including generated workflows, conversational configuration, and iterative refinement.
Develop visual testing, debugging, simulation, and monitoring interfaces to help creators evaluate and improve agent behavior.
Design interactive dashboards and visualizations communicating agent performance, operational status, and business impact.
Build interfaces for exploring AI-generated insights, identifying trends, investigating issues, and supporting informed decisions.
Create customizable dashboards for business leaders, AI creators, operational teams, and other stakeholders.
Design and develop client-facing Agentic AI applications and experiences addressing specific business challenges and workflows.
Integrate front-end applications with APIs, backend services, LLMs, AI agents, and enterprise systems.
Develop and maintain reusable UI components, visualization libraries, and design systems.
Optimize applications for performance, responsiveness, accessibility, security, reliability, and maintainability.
Collaborate with UX/UI designers, AI researchers, product teams, and engineers to prototype, evaluate, and refine AI experiences.
Contribute to code reviews, testing, documentation, continuous integration, and production releases.