3 дня назад
Lead AI Software Engineer (Enterprise Transformation)
163 000 - 250 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Lead AI Software Engineer (Enterprise Transformation) (AI/workflow automation): Building and scaling AI-enabled workflow, backend integration, and automation solutions that modernize enterprise processes across Google Workspace, business platforms, and cloud-native environments with an accent on secure integrations, event-driven services, and intelligent orchestration. Focus on redesigning legacy workflows, implementing prompt logic and human-in-the-loop validation, and creating reusable, observable solutions that remain reliable in production.
Location: Austin, Texas; Mountain View, California; or Warren, Michigan
Salary: $163,000–$250,000 per year for roles in California
Company
develops automotive products and technologies with a vision focused on zero crashes, zero emissions, and zero congestion.
What you will do
- Design, build, test, and support AI-enabled workflow and automation solutions across collaboration platforms, enterprise systems, and cloud-native environments.
- Develop secure backend services, scripts, integrations, event-driven components, and orchestration logic using Python and JavaScript-based tooling.
- Integrate workflows with IT service management, HR, CRM, document, content, reporting, and internal API platforms.
- Redesign manual, fragmented, spreadsheet-heavy, macro-driven, and legacy processes into scalable and reusable automation solutions.
- Implement prompt logic, tool orchestration, exception handling, validation, human-in-the-loop checkpoints, logging, telemetry, and evaluation mechanisms.
- Partner with product, engineering, technical program management, security, privacy, identity, and business stakeholders through pilots, deployments, hypercare, and sustainment.
Requirements
- 7+ years of experience in workflow engineering, automation engineering, software engineering, platform engineering, or enterprise application automation.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, Information Systems, or a related field, or equivalent practical experience.
- Hands-on experience with Python and/or JavaScript-based tooling, REST APIs, webhooks, connectors, event-based logic, and workflow orchestration.
- Experience integrating AI capabilities into business workflows, including prompt design, exception handling, validation, monitoring, logging, telemetry, or evaluation.
- Knowledge of authentication, authorization, access control, secure integrations, version control, structured testing, release management, and technical documentation.
- GM does not provide immigration-related sponsorship; candidates must not require GM immigration sponsorship now or in the future.
Nice to have
- Experience with Google Workspace administration, Google Workspace APIs, Google Apps Script, AppSheet, or related Google ecosystem tooling.
- Experience with Gemini, Glean, AskGM, Databricks, or similar enterprise AI platforms.
- Experience modernizing SharePoint, spreadsheet-heavy, macro-driven, or low-code automation patterns.
- Experience with cloud-native workflow components, event-driven design, reusable automation templates, pilot deployments, cutovers, validation, and hypercare.
- Google Cloud or Google Workspace certifications.
Culture & Benefits
- Full-time employment with .
- Benefits and total rewards supporting employee well-being at work and at home.
- Incentive pay may be based on company performance, job level, and individual performance.
- The role may be eligible for relocation benefits.
- Applicants may be required to complete a role-related assessment or pre-employment screening.
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