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User Experience Designer

Weekday AI

# User Experience Designer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-11-09

**Salary:** INR 5,500,000–8,700,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

  • **This role is for one of Weekday’s clients
  • Salary range: Rs 5500000 - Rs 8700000 (ie INR 55 - 87 LPA)**

Min Experience: 12+ years

Location: Bengaluru, Karnataka, India

JobType: full-time

We are looking for an experienced **User Experience (UX) Designer** to own and drive end-to-end, research-led experience design across enterprise architecture products, tools, and services. This is a senior individual-contributor role focused on understanding user needs and translating research insights into intuitive, accessible, inclusive, and effective digital experiences.

The ideal candidate will bring strong expertise in user-centred design, human-centred design, service design, interaction design, and information architecture, along with a good working knowledge of enterprise and solution architecture. You will collaborate closely with architects, engineers, product managers, and governance stakeholders to ensure that complex architecture products and services are easy to understand, navigate, implement, and use.

## Requirements

## Key Responsibilities

### User Research and Experience Design

  • Own research-led UX design for assigned products and services, ensuring user needs inform product priorities, journeys, and delivery decisions.
  • Plan and conduct user interviews, contextual research, surveys, and usability testing.
  • Translate research findings into user needs, personas, journey maps, service blueprints, and experience principles.
  • Develop information architecture, task flows, wireframes, interaction specifications, and low- to high-fidelity prototypes.
  • Continuously refine designs based on research evidence, user feedback, and usability findings.

### Experience Quality and Accessibility

  • Review architecture journeys, tools, interfaces, and artefacts for usability, accessibility, consistency, and clarity.
  • Conduct heuristic evaluations and accessibility reviews, identifying experience gaps and recommending improvements.
  • Validate keyboard navigation, focus order, screen-reader support, colour contrast, and content clarity.
  • Ensure experiences account for cognitive load, inclusive language, privacy, trust, transparency, and appropriate human oversight.
  • Work with accountable teams to resolve usability and accessibility issues before release.

### Cross-functional Collaboration

  • Partner with architects and engineers throughout discovery, design, implementation, testing, release, and continuous improvement.
  • Translate research evidence into clear design requirements, backlog-ready user stories, and measurable acceptance criteria.
  • Assess technical feasibility and collaborate with architecture teams to balance user needs with integration, data, security, and engineering constraints.
  • Provide developer-ready specifications and conduct design quality assurance during implementation.
  • Coach architects and engineers on research, inclusive design, accessibility, and service design practices.

### UX Across Enterprise Architecture Functions

**Reference Architecture**

  • Define and maintain user-centred architecture principles, experience patterns, personas, journey views, and service blueprints.
  • Make architecture content, capability models, standards, and target-state designs understandable through effective information architecture and visual communication.
  • Identify fragmented journeys, inconsistent terminology, and unnecessary user effort, recommending reusable improvements.

**Architecture as Code**

  • Design self-service architecture journeys that help developers easily discover and apply standards, patterns, catalogues, and automated guidance.
  • Shape the information architecture, interaction patterns, and content design of enterprise architecture and API catalogues.
  • Prototype and evaluate automated design creation and review experiences, ensuring outputs are understandable and actionable.
  • Define UX acceptance criteria for AI-generated guidance, errors, exceptions, approvals, and human-review checkpoints.

**Incubation Products**

  • Lead discovery and experience design for emerging digital capabilities and internal products.
  • Convert user insights into journeys, wireframes, prototypes, content, backlog items, and testable acceptance criteria.
  • Validate emerging technologies through realistic user scenarios, usability testing, and accessibility reviews.
  • Design transparent and trustworthy AI-assisted experiences with clear system status, provenance, limitations, user control, and escalation options.

**Architecture Governance**

  • Embed user-centred design, accessibility, and experience-quality criteria into architecture reviews, templates, and assurance workflows.
  • Evaluate proposed designs for user impact, inclusivity, journey consistency, accessibility, and adoption risks.
  • Present research findings, prototypes, usability insights, and experience risks to relevant design and governance forums.
  • Maintain traceability between user needs, research findings, design decisions, and implemented outcomes.

### Experience Measurement and Continuous Improvement

  • Define and monitor experience measures such as task completion, error rates, time on task, user satisfaction, accessibility findings, adoption, and support demand.
  • Analyse user feedback and use evidence to influence product and architecture decisions.
  • Maintain reusable UX artefacts, research findings, and design guidance to support consistency across enterprise architecture teams.

## Required Qualifications and Experience

  • Proven experience in UX design, user research, interaction design, service design, and information architecture.
  • Strong understanding of user-centred and human-centred design principles.
  • Experience conducting qualitative and quantitative research, including interviews, contextual enquiries, surveys, and usability testing.
  • Practical experience with Figma for task flows, wireframes, interactive prototypes, and developer-ready specifications.
  • Strong understanding of visual hierarchy, layout, typography, interaction states, and enterprise design systems.
  • Experience evaluating digital products for accessibility and inclusive design.
  • Ability to work effectively with architects, engineers, product managers, business analysts, risk teams, and governance stakeholders in agile environments.
  • Good working knowledge of enterprise and solution architecture, including capability models, APIs, integration, data flows, security, resilience, cloud, and automation.
  • Ability to translate technical constraints into coherent user journeys and practical design solutions.
  • Strong communication, collaboration, analytical, and problem-solving skills.

## Must-Have Skills

  • User-Centred Design
  • Human-Centred Design
  • Service Design

## Good-to-Have Skills

  • Prototyping
  • Wireframing
  • Figma

## Core Competencies

  • Strong user advocacy and the ability to balance user needs with business objectives, technical constraints, and regulatory requirements.
  • Systems thinking and an understanding of how technology, processes, policies, and data influence end-to-end user journeys.
  • Evidence-based decision-making and the ability to communicate research findings effectively.
  • Strong visual and written communication skills to simplify complex architecture concepts.
  • Ability to influence cross-functional teams through practical design expertise.
  • Responsible use of AI-assisted design and research tools, with appropriate protection of confidential and personal information.
  • Ownership of experience quality and timely escalation of accessibility, trust, safety, and adoption risks.

## Conduct, Risk and Compliance

  • Adhere to organisational policies, code of conduct, values, and applicable regulatory obligations.
  • Identify, manage, and escalate relevant operational, financial crime, fraud, and other risks.
  • Protect research participants and user data through informed consent, data minimisation, confidentiality, and approved research practices.
  • Support a culture of responsible risk management and accountability.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/4279AD9A8B/apply)

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