MegazoneCloud US · 9 hours ago
Director of AI applied solutions
MegazoneCloud US is seeking a Director of Applied AI Solutions who will report to the CTO and serve as a senior, client-facing technologist. This role involves converting business opportunities into production-ready AI/ML and GenAI platforms and consulting with C-suite stakeholders to architect end-to-end solutions.
Computer Software
Responsibilities
Lead discovery workshops to surface AI, ML, and GenAI use-cases
Develop business cases, TCO/ROI models, and executive roadmaps
Design cloud-native reference architectures covering data pipelines, feature stores, model-training, vector databases, and real-time inference
Expert-level relationships with AWS, Azure, GCP, and key AI ISV partners
Represent the company at industry conferences, webinars, and roundtables
Publish white papers, deliver conference talks, and brief analysts to position the firm as an applied-AI innovator
Track emerging research (LLM fine-tuning, agent frameworks, privacy-preserving ML) and inject into offerings
Qualification
Required
8+ years in data science, ML engineering, or AI architecture
Demonstrated production delivery of applied AI (traditional ML, deep learning, GenAI/LLMs) on at least two hyperscalers
2+ years progressive experience in cloud architecture, consulting, or solutions engineering; 5+ years leading cross-functional technical teams
Hands-on expertise with MLOps stacks and IaC
Strong grasp of DevSecOps, IaC, container, CI/CD, SRE, and FinOps
Demonstrated ability to present to C-suite audiences
Relevant certifications—e.g., AWS ML Specialty, Azure AI Engineer, Google Professional ML Engineer
Bachelor's in Computer Science, Data Science, or related field
Preferred
Experience integrating data platforms (Databricks, Snowflake) a plus
Master's/PhD preferred
Company
MegazoneCloud US
AWS, DataBricks, Snowflake and GCP Partner of the Year! AI- Native Transformation, Application Modernization, Amazon Connect, Cloud Migrations, Data Analytics and Insights.
Funding
Current Stage
Late StageCompany data provided by crunchbase