Director of AI applied solutions

2 hours ago

Frisco, Texas, United States Megazone Cloud US Full time
About the Role

Reporting to the CTO, our new ] Director of Applied AI Solutions is the senior, client-facing technologist who converts business opportunities into production-ready AI/ML and GenAI platforms on AWS, Azure, and Google Cloud. Reporting to the CTO, you'll consult with C-suite stakeholders, architect end-to-end solutions—spanning data ingestion to responsible-AI guardrails—and steer multidisciplinary engineering teams through build, deployment, and post-production optimization. You will deliver world-class outcomes to our customers on AWS, Azure, GCP, and with our leading AI, Data, and Security ISV partners.

Key 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.

Qualifications

  • 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.

  • Experience integrating data platforms (Databricks, Snowflake) a plus.

  • 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 (Master's/PhD preferred).

Why You'll Love It Here

  • Our Product is Our People: We live by this. We invest in people who invest in themselves. Your growth is our growth.

  • 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.

  • A "Learn-from-it" Culture: We're moving fast and building new things. We believe mistakes are learning opportunities, not failures.

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. If you are excited by this mission, we encourage you to apply, even if your experience doesn't perfectly match every qualification listed.

Megazone Cloud is an Equal Opportunity Employer and participates in E-Verify to confirm the employment eligibility of all new hires.

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