Job Description
You'll be embedded in a cross-functional team working on customer-facing products and internal AI workflows. You'll collaborate with a team of 5 UX strategists and 1 FTE AI Designer and be mentored by the lead UX strategist/AI Designer. You'll be assigned to a project and work closely with the hiring manager to define priorities. Responsibilities include supporting innovation design, assessing AI opportunities in the market, and identifying design efficiencies. You'll also help define and document best practices for AI design across multiple initiatives.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
Skills and Requirements
5+ years of professional experience, with 1+ years of hands-on experience with Generative AI and conversational AI design
Proficiency in AI design principles and experience designing user-facing AI experiences
Familiarity with LLM models (e.g., GPT, Claude, Mistral, CoPilot) and ability to write and test system prompts
Understanding of the full AI product lifecycle, from design to production
Strong communication skills and ability to work with multiple stakeholders, challenge assumptions, and recommend best practices
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