Overview
Design end-to-end product and interaction experiences for enterprise AI applications, agentic workflows, and AI platform capabilities, from problem framing through production delivery.
What you'll do
- Design end-to-end product and interaction experiences for enterprise AI applications, agentic workflows, and AI platform capabilities from problem framing through production delivery.
- Translate complex AI capabilities and technical workflows into intuitive experiences for conversational AI, intelligent workflows, autonomous and semi-autonomous agents, and enterprise AI platforms.
- Design AI-native interaction patterns for uncertainty, recommendations, generated content, citations, evidence, agent progress, planned actions, permissions, trust, transparency, and user control.
- Design human-in-the-loop experiences that allow users to review, approve, modify, reject, pause, resume, correct, escalate, or override AI and agent actions.
- Create user journeys, workflow models, information architectures, wireframes, high-fidelity designs, interactive prototypes, and reusable design patterns for AI experiences.
- Build functional prototypes using modern design tools, frontend technologies, AI-assisted coding tools, LLM APIs, agent APIs, or representative AI behavior to validate interaction concepts before production engineering.
- Conduct user research, usability testing, design experiments, and product validation, and use findings and product feedback to continuously improve the experience.
- Partner closely with AI Application Engineers, Applied AI Engineers, AI Platform Engineers, Product Managers, and business stakeholders to move validated concepts into production.
What you'll need
- A Bachelor's Degree in Product Design, Interaction Design, Human-Computer Interaction, or Computer Science.
- Minimum of 5 years of relevant professional experience, or an Advanced Degree in a related field and a minimum of 3 years of relevant professional experience.
- Demonstrated experience designing complex digital products, enterprise applications, B2B SaaS, developer tools, workflow products, or similarly sophisticated software.
- A strong portfolio demonstrating end-to-end product design, interaction design, user-centered problem solving, and the ability to take concepts through validation and delivery.
- Strong experience with product design, interaction design, information architecture, user flows, wireframing, high-fidelity design, prototyping, and design systems using tools such as Figma.
- Experience conducting user research, usability testing, design validation, and iterative product development in close partnership with product and engineering teams.
- Demonstrated ability to simplify complex technical workflows and ambiguous problems into coherent, intuitive user experiences.
- Experience creating interactive or functional prototypes, not only static mockups, using modern prototyping technologies or AI-assisted development approaches.
- Strong communication and collaboration skills with the ability to explain design decisions and work effectively with engineers, product teams, business stakeholders, and globally distributed teams.
Nice to have
- Experience designing Generative AI, conversational AI, agentic AI, AI-powered enterprise applications, or developer-facing AI products.
- Experience designing AI-native patterns involving human-agent collaboration, approvals, uncertainty, feedback, citations, provenance, trust, transparency, agent control, and failure recovery.
- Hands-on experience prototyping with HTML, CSS, JavaScript or TypeScript, React, or similar frontend technologies, including use of AI-assisted coding tools.
- Experience prototyping directly with LLM APIs, AI services, agent frameworks, mock AI behavior, or other dynamic systems.
- Understanding of concepts such as LLMs, RAG, agents, tools, context, memory, evaluations, traces, guardrails, observability, and AI platform lifecycle.
- Experience designing complex developer platforms, workflow builders, administration consoles, analytics products, data platforms, engineering tools, or configuration-heavy enterprise applications.
- Experience building and evolving reusable design systems and component libraries in close collaboration with frontend engineering teams.
- Experience using AI throughout the design workflow for research synthesis, ideation, prototyping, content exploration, design critique, and rapid experimentation.
Details
- Location: Bengaluru, Karnataka, India (Northgate, Yelahanka Hobli).
- Role type: Hybrid, with onsite and offsite work ratio determined in partnership with the leader.
- Commuting to and from the assigned site is the employee's personal responsibility.
Read the full description and apply on the company’s own careers page.