Megazone

Megazone

Sr. Solutions Architect AI

Rochester, NY · Senior

Sponsorship not specifiedDetected 53 days ago
DatabricksVector DatabasesAWSGCPAzureMachine LearningData EngineeringData ScienceLeadershipProblem SolvingPublic Speaking

About the role

  • You thrive on solving ambiguous, high-stakes business problems and designing the end-to-end technical solutions that solve them.
  • You are a master of the Databricks ecosystem and the leading Cloud Service Providers (CSPs).
  • WHY YOU'LL LOVE IT HERE - Our Product is Our People: We live by this.

Responsibilities

  • Lead Technical Strategy & Design: Architect and oversee the implementation of enterprise-scale AI/ML and GenAI platforms across AWS, Azure, GCP, and Databricks.
  • Be the Client-Facing Expert: Lead discovery workshops to surface high-impact use cases, translate complex business requirements into architectural roadmaps, and present ROI models to executive stakeholders.
  • Architect the Future: Design reference architectures on Databricks covering data pipelines, feature stores, model training, vector databases, and real-time inference.
  • Own the Ecosystem: Drive strategic relationships with AWS, Azure, GCP, and Databricks, ensuring our offerings leverage the latest innovations in GenAI and MLOps.
  • Mentor and Multiply: Lead and grow a multidisciplinary team of engineers and data scientists, acting as a "force multiplier" through technical guidance and design reviews.
  • Strategic Leadership: Proven ability to build, manage, and mentor technical teams while managing multi-faceted projects.
  • C-Suite Excellence: Exceptional skills in presenting to executive audiences and translating business needs into technical designs.
  • True Servant Leadership: Our CTO leads with a "force multiplier" philosophy. Management is here to empower you and clear roadblocks, not to micromanage. We won't ask you to do anything we're not willing to do ourselves.
  • Flat Organization, Real Impact: Your voice and designs will directly shape our technical roadmap and our clients' success. You'll work on the latest tech to solve real problems.
  • Drive strategic relationships with AWS, Azure, GCP, and Databricks, ensuring our offerings leverage the latest innovations in GenAI and MLOps.

Requirements

  • 8-12+ years of experience in data science, AI, and data ecosystems, with at least 5 years leading cross-functional technical teams.
  • Professional Experience: 8-12+ years of experience in data science, AI, and data ecosystems, with at least 5 years leading cross-functional technical teams.
  • If you are excited by this mission, we encourage you to apply, even if your experience doesn't perfectly match every qualification listed.

Skills

  • Represent Megazone Cloud at industry conferences, publish white papers, and position the firm as a premier leader in applied-AI innovation.
  • 2+ years of progressive experience in cloud architecture or solutions engineering across AWS, Azure, or GCP.

Benefits

  • As a key client-facing expert, you will lead technical discovery, set the GenAI strategy, and guide our teams to execute a clear vision.
  • Relevant high-level certifications (e.g., Databricks Machine Learning Professional, AWS ML Specialty, Azure AI Engineer, or Google Professional ML Engineer).
  • Educational Foundation: Bachelor's degree in Computer Science, Data Science, or a related field (Master's or PhD preferred).
  • We believe mistakes are learning opportunities, not failures.

Company info

  • We live by this.
  • We invest in people who invest in themselves.
  • Your growth is our growth.
  • We're moving fast and building new things.
  • We seek diverse talent who are ready to make an immediate impact.
  • We believe that innovation thrives when teams are built with a variety of backgrounds, experiences, and perspectives.
  • Megazone Cloud is an Equal Opportunity Employer and participates in E-Verify to confirm the employment eligibility of all new hires.

This listing is sourced directly from Megazone's careers page and normalized into a canonical job model.