Sr. Solutions Architect AI
MEGAZONE - Rochester, NY, Rochester, New York, United States, Irvine, CA, Frisco, TX
Posted May 29, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Sr. Solutions Architect AI Rochester, NY, Rochester, New York, United States, Irvine, CA, Frisco, TX Who We're Looking For Megazone Cloud is looking for a Director of AI & Databricks Solutions to be a chief designer of our AI practice and a technical authority for our clients. Reporting directly to the CTO, you are a "builder" at heart-equally comfortable in the code as you are in the boardroom-but your primary focus is on strategy, design, and the ethical governance of AI. You thrive on solving ambiguous, high-stakes business problems and designing the end-to-end technical solutions that solve them. As a key client-facing expert, you will lead technical discovery, set the GenAI strategy, and guide our teams to execute a clear vision. You are a master of the Databricks ecosystem and the leading Cloud Service Providers (CSPs). What You'll Do - 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. - Set the Standard: Define best practices for responsible AI, data quality, and security, serving as
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