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High competition due to Tier-1 brand, mid-level experience, metro locations, and popular cloud architect role.
High because role requires specialized cloud and ML architecture expertise and customer-facing consulting experience.
High due to explicit six-year requirement and mandatory cloud and ML architecture experience.
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Lead design and development of advanced data and AI solutions on Google Cloud Platform to solve complex business challenges.
Own technical relationships and guide partners through pilots, proofs-of-concept, and migrations to ensure successful deployments.
Establish and promote best practices for AI-driven solutions, contributing to industry thought leadership and strategic direction.
Bachelor's degree or equivalent practical experience.
6 years of cloud computing experience with focus on machine learning architecture, software development, and model deployment in a customer-facing or consulting role.
Proficiency in programming/scripting languages such as Python and experience in developing and deploying data solutions.
Experience engaging with technical stakeholders and executive leaders.
Experienced in translating ambiguous customer requirements into actionable AI roadmaps and technical architectures involving fine-tuning, RAG, and custom model development.
Proven ability to manage stakeholder expectations and build consensus on complex AI initiatives including ethics, bias, and ROI discussions.
Demonstrated capability in architecting scalable, distributed systems and deep understanding of AI/ML landscape including model evaluation frameworks and prompt engineering.