• AI Architect

    Insight Global (Tampa, FL)


    Job Description

    The Architect II works on highly complex projects that require in-depth knowledge within a domain: technical, solutions, business, or information. The Architect II leads, consults, or oversees multiple architectural engagements and is viewed as an expert and provides knowledge and counsel to others. The Architect II Leads domain/train specific architecture board and provides an ecosystem-wide perspective and participates in Enterprise Architecture review.

     

    We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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 Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

     

    To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

    Skills and Requirements

    Programming backgProgramming Background: Experience in developing enterprise-grade solutions and implementing DevOps practices. The programming language is not crucial, but they are a Microsoft Shop.

     

    DevOps Expertise: Strong background in DevOps, observability, and testing.

     

    Change Agent: Ability to mentor and promote AI adoption within the team.

     

    Implementation Leadership: Proven track record of leading implementations.

     

    Observability: The team is weak in observability, so strong expertise in this area is essential.

     

    Agile Environment: Experience working in an agile environment, particularly involving emerging AI development.

     

    Low-Code Development: Familiarity with low-code development, with some high-code experience.

     

    AI Integration: Daily work involves AI, both in internal processes and client solutions.round null

     

    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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].