Back
Tier-1 employer and metro locations increase competitiveness, but seniority and niche AI skills reduce density.
Requires deep enterprise AI deployment and cloud integration experience, limiting cross-industry transferability.
Explicit 10-year requirement plus mandatory AI, cloud, and integration expertise enforces strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Embed with strategic customers to drive adoption of Google Cloud enterprise AI products, acting as a trusted advisor to customer stakeholders and internal teams.
Develop, manage, and execute AI deployment plans providing technical leadership in enterprise architecture and AI solution engineering.
Own technical delivery through leading design, troubleshooting complex implementation issues, and liaising between customers and Google Product/Engineering teams.
Bachelor’s degree or equivalent practical experience.
10 years of experience troubleshooting technical issues for internal/external partners or customers.
Experience with enterprise integrations (APIs, ECMs, identity), Cloud infrastructure, or AI/ML model deployments.
Experience reading or debugging code in general purpose languages (e.g., Java, Python, JavaScript) and system design or orchestration frameworks.
Experienced in leading technical delivery strategies for enterprise-grade AI or cloud solutions with deep technical and architectural knowledge.
Comfortable operating at the intersection of customer engagement, product engineering, and technical project leadership.
Skilled in diagnosing complex technical problems and translating them into actionable solutions with strategic foresight.