IN_Sr Associate_ Industrial UX Engineer (Industrial Digital & AI)_AppTech_Advisory_Mumbai (Early joiners)

Job Description & Summary:

We are looking for an Industrial UX Engineer to convert operator, supervisor and engineer workflows into intuitive shop-floor experiences. The role combines user research, interaction design and practical understanding of manufacturing environments to create HMIs, dashboards and decision-support interfaces that are safe, clear and adoption-focused.

A career within Enterprise Architecture services, will provide you with the opportunity to bring our clients a competitive advantage through defining their technology objectives, assessing solution options, and devising architectural solutions that help them achieve both strategic goals and meet operational requirements. We help build software and design data platforms, manage large volumes of client data, develop compliance procedures for data management, and continually researching new technologies to drive innovation and sustainable change.

Job Position Title:

IN_Sr Associate_Industrial UX Engineer (Industrial Digital & AI)_AppTech_Advisory_Mumbai (Early joiners)

Responsibilities:

Key Responsibilities::

Conduct contextual interviews, process walk-throughs and task analysis with operators, supervisors, maintenance, quality and engineering users.

Map personas, journeys, information needs, decisions, pain points and exception scenarios across shop-floor workflows.

Translate requirements into information architecture, wireframes, interactive prototypes and detailed user-interface specifications.

Design responsive HMIs, dashboards, alerts, work instructions and decision-support experiences for desktop, tablet and industrial displays.

Apply human-factors principles for glanceability, alarm prioritization, error prevention, accessibility and use in noisy or safety-sensitive environments.

Define reusable components and design-system standards aligned with the client’s brand and application architecture.

Plan and facilitate usability testing; synthesize evidence and iterate designs based on observed behaviour and feedback.

Work with Digital Twin, data, AI and application engineers to ensure feasibility and accurate translation into production.

Expected Delivery Outcomes::

Validated end-to-end workflows and high-fidelity prototypes.

Consistent, accessible design specifications ready for engineering.

Improved usability, adoption and decision speed for shop-floor users.

Working Style and Stakeholder Engagement::

Work as part of a cross-functional delivery POD with manufacturing, engineering, data, cloud, enterprise application and change teams.

Communicate complex technical topics in clear business language and maintain disciplined documentation, risk tracking and knowledge transfer.

Support client workshops, design reviews, testing, deployment and adoption activities; travel to manufacturing locations when required.

Support user acceptance testing, training assets, rollout feedback and adoption measurement.

Maintain design rationale, specifications, interaction states and traceability to business requirements

Mandatory skill sets:

4-8 years of experience in UX, product design, interaction design or human-machine interface design.

Portfolio demonstrating research, workflow design, prototyping and delivered enterprise or industrial products.

Proficiency in Figma or equivalent tools, component libraries, responsive design and design handoff.

Experience designing role-based dashboards, operational workflows, alerts, forms and complex data visualizations.

Working knowledge of usability testing, accessibility and human-centred design practices.

Ability to simplify complex operational information without losing critical context or control.

Good facilitation, storytelling and stakeholder-management skills.

Bachelor’s degree in design, human-computer interaction, engineering, computer science or a related discipline.

Preferred skill sets:

Experience with manufacturing, MES, Digital Twin, maintenance, quality or control-room applications.

Knowledge of industrial HMI conventions, alarm management, edge-device constraints and shop-floor ergonomics.

Basic understanding of HTML/CSS, front-end frameworks or business intelligence tools to improve design feasibility.

Experience measuring adoption, task completion, error reduction and user satisfaction.

Years of experience required:

4-8 years | Industrial Digital & AI

Education qualification:

B.E./ B.Tech / MCA/ M.E/ M.TECH/ MBA/ 2 yrs PGDM.. All qualifications should be in regular full-time mode with no extension of course duration due to backlogs