Overview
Skills
Job Details
Need Local Denver, CO based consultants only.
Hybrid position : 3-4 days in a week onsite
About R Systems:
R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing, and health verticals. We Are Great Place to Work Certified in 10 countries with a full-time workforce [India, USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia & Thailand]! We are recognized as one of the Best Tech Brands 2024 by the Times Group and India's Top 500 Value Creators 2023 by Dun & Bradstreet.
Company Link:
Key Responsibilities:
Design Strategy & Execution
- Lead the development of end-to-end user experiences for AI-driven analytical tools and digital solutions.
- Translate business objectives and data science outputs into intuitive design concepts, wireframes, and prototypes that promote understanding and engagement.
- Partner with product and engineering teams to align design objectives with technical feasibility, timelines, and business priorities.
- Apply accessibility and inclusive design standards to ensure usability across all audiences and devices.
Collaboration & Delivery
- Work closely with cross-functional teams to deliver scalable and consistent design patterns that align with enterprise design systems and brand guidelines.
- Participate in agile development ceremonies (sprint planning, demos, retrospectives) to ensure continuous design iteration and improvement.
- Conduct user research, usability testing, and heuristic evaluations to validate design effectiveness and measure adoption success.
Analytical & AI-Focused Design
- Design interfaces for complex analytical use cases, including predictive modeling, natural language processing, and intelligent automation workflows.
- Create visualizations that clearly communicate insights derived from large and diverse datasets.
- Collaborate with data scientists to design interactive explainability features, AI confidence visual cues, and human-in-the-loop interaction models.
Required Qualifications:
- Bachelor s degree in Human-Computer Interaction (HCI), Design, Computer Science, or related field; equivalent experience may be considered.
- 5+ years of professional UI/UX design experience, preferably within data analytics, AI/ML, or enterprise software environments.
- Strong portfolio demonstrating user-centered design for complex systems or analytical platforms.
- Proficiency with Figma, Sketch, Adobe XD, or equivalent design and prototyping tools.
- Understanding of modern web technologies (HTML, CSS, JavaScript frameworks) and their implications on design feasibility.
Preferred Qualifications:
- Experience designing dashboards, model explainability tools, or intelligent automation interfaces.
- Familiarity with data visualization libraries (e.g., D3.js, Power BI visuals) and API-driven architectures.
- Exposure to AI/ML lifecycle concepts, including data ingestion, model training, validation, and inference workflows.
- Excellent communication and stakeholder management skills; ability to present design concepts to both executive and technical audiences.
- Frequent Internal Hackathons: Engage in dynamic competitions with exciting prizes to keep your skills sharp.
- Cultural Celebrations: Strengthen our familial bonds through shared celebrations, fostering a sense of community.
- Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail, collaborating with leading global brands.
- Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities provided by our team of technology experts, helping you navigate your career path.
- E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust mentorship program to enhance your skills.
- Open Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a collaborative work environment.