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The Industry Solutions Delivery (ISD) Engineering & Architecture Group (EAG) is a global consulting and engineering organization that supports our most complex and leading-edge customer engagements. Driving early-stage deliveries, enhances ISD’s technical capabilities, and partnering with others to develop approaches, innovative solutions, and engineering standards in order to set our sales and delivery teams up for success. Leveraging the principles of model, care, and coach, we provide consistent high-quality customer experience through technical and AI leadership and IP capture centered on delivery truth. EAG Studio 42 is looking for a User Experience Design Consultant with strong expertise in user-centered design and experience in designing AI-powered solutions. The candidate should be able to translate complex business problems into scalable, intuitive, and AI-enabled user experiences.
Job Responsibility:
Lead end-to-end UX activities including workshops, user research, personas, scenarios, information architecture, wireframes, navigation, and interactive design for complex applications and AI-driven experiences such as copilots and conversational interfaces
Plan and drive UX across the development lifecycle, ensuring delivery aligns with timelines, budget, usability, accessibility, and inclusive design best practices
Define UI specifications and secure stakeholder sign-off
Collaborate with cross-functional teams to translate AI capabilities (ML models, LLMs, automation) into intuitive experiences, designing prompt-based interactions, intelligent workflows, and AI-driven user journeys
Apply Human-AI interaction principles such as transparency, explainability, trust, and error handling, while accounting for edge cases, system limitations, and uncertainty
Ensure adherence to Responsible AI principles including fairness, privacy, and ethical design
Support pre-sales and scoping by evangelizing user-centered and AI-first design approaches, conducting research, and leveraging AI-powered design tools to accelerate outcomes
Requirements:
6 + years’ experience working as User Experience Designer either in Product teams or Consulting Roles with a strong track record
M.Des / B.Des / Graduate Diploma / Post Graduate Diploma in Industrial Design, Product Design, Visual Communication, Graphic Design, Interaction Design, User Experience Design, Information and Interface Design, New Media Design, Product and Interface Design, Human Factors, Human Computer Interaction, Cognitive psychology from reputed institutes like IDC IIT Bombay, NID, Srishti School of Art Design and Technology, other IIT’s OR considerable industry experience in lieu of the same
Candidate is required to furnish a portfolio of recent usability, design, or human factors related work
Strong background in user research, usability, or Human Factors
Expertise in user-centered design processes and research methodologies
Ability to create wireframes, user flows, interaction diagrams, and prototypes (low to high fidelity)
Ability to design intuitive, scalable user interfaces within technical and system constraints
Strong storytelling and presentation skills to communicate design solutions effectively
Experience in task analysis and user workflow design (current and future states)
Ability to synthesize research insights into actionable design strategies
Experience working in Agile environments with cross-functional teams
Strong problem-solving skills, critical thinking, and attention to detail
Excellent verbal, written, and interpersonal communication skills
Ability to manage time, prioritize tasks, and work under pressure
Experience designing AI-powered products such as copilots, conversational interfaces, and intelligent agents
Ability to translate AI/ML capabilities (LLMs, machine learning, automation) into intuitive user experiences
Understanding of Human-AI interaction principles including transparency, explainability, and trust
Experience designing prompt-based interactions and AI-driven workflows
Familiarity with AI/ML fundamentals such as model behavior, training data, bias, limitations, and evaluation
Ability to design for edge cases, failure states, and uncertainty in AI systems
Knowledge of Responsible AI principles including fairness, accountability, privacy, and ethical design
Experience collaborating with data scientists, ML engineers, and cross-functional teams
Ability to design AI-driven user journeys and adaptive experiences
Experience leveraging AI-powered design tools to enhance workflows and productivity