Remote AI Engineer
Job Description
The AI Engineer develops modern AI-based automation components supporting enterprise workflows, business units, and enterprise AI products owned by the AI/Automation Hub. This role builds solutions in M365 Copilot Studio, Power Platform, and the Azure ecosystem, integrating enterprise datasets and implementing AI-assisted process automation.
The engineer collaborates with TPMs, architects, and business partners to design, build, test, and deploy compliant, scalable, and secure AI-enabled automations within an Agile SDLC.
70% technical engineering and 30% working with the business and training othersWe 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 [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
Skills and Requirements
3-10 years experience in application engineering, automation engineering, or software dev experienceExperience with AI services, LLM prompting, and integration of enterprise data with AI solutions
Co-pilot or any other modeling tools (currently Azure in co-pilot studio working in power automate)
Python or Java
Experience on prompting and best practices - experience building and testing prompts - communicating and working alongside the business
Strong analytical and automation background Devops
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