Senior Principal AI Solutions Architect
- New York City, NY
- Permanent
- Full-time
- Serve as a trusted advisor to executives and technical leaders, articulating AI technology vision and adoption roadmaps.
- Design enterprise AI solution architectures for cloud (AWS, Azure, GCP), on-premises, hybrid, and multi-cloud environments.
- Lead pre-sales efforts including discovery, solution design, proof-of-concept execution, and enterprise deployment guidance.
- Demonstrate deployment best practices, including containerization, Kubernetes orchestration, CI/CD integration, MLOps pipelines, and governance/security frameworks.
- Deliver demos, workshops, and executive briefings on AI platforms, tools, and solutions.
- Collaborate with product teams to provide feedback and influence the AI platform roadmap.
- Develop reference architectures, solution accelerators, technical blueprints, blogs, webinars, and conference presentations to drive thought leadership.
- Support pipeline-building initiatives through customer engagements, strategic partner interactions, and industry events.
- Degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience).
- 5+ years of experience in technology architecture with a track record of scaling enterprise applications and data-intensive workloads.
- 3+ years of customer-facing cloud deployment experience (AWS, Azure, GCP) with deep knowledge of Kubernetes, containerization, CI/CD, and cloud-native architectures.
- Proven ability to design enterprise AI/ML deployments including MLOps, security, compliance, high availability, monitoring, and governance frameworks.
- Experience producing technical architecture diagrams, solution designs, and deployment strategies for diverse enterprise environments.
- Strong presentation and communication skills, capable of engaging engineers and C-level executives.
- Experience in consultative selling and pre-sales solutioning is highly preferred.
- Comfortable working independently, managing multiple strategic accounts, and traveling up to 50%.
- Familiarity with enterprise AI platforms, H2O.ai products, or similar solutions is a plus.
- Bonus: Expertise in GenAI Ops, MLOps, DevOps, production-grade AI deployment patterns, and data security/compliance (e.g., GDPR, HIPAA, SOC2).
- Competitive total compensation with OTE range of $250,000 – $300,000.
- Remote-friendly and flexible working environment.
- Comprehensive healthcare plans including medical, dental, and vision coverage.
- Opportunities for career growth and professional development.
- Be part of a world-class, innovative AI team shaping the future of enterprise AI.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or assessments) are then made by their internal hiring team.Thank you for your interest!#LI-CL1