Principal Solution Architect
Key Skills for This Role
Full Job Posting
Required Qualifications
- 8+ years of experience in AI/ML infrastructure, data engineering, or consulting for AI projects and/or AI/ML and/or Data Science application development practices and architectures.
- Demonstratable expertise in generative AI technologies, including LLMs, neural networks, and recommendation systems.
- Familiarity with AI frameworks such as TensorFlow, PyTorch, NVIDIA Enterprise Suite, NeMO, NIMs etc.
- Proven track record of delivering technical wins in complex sales or consulting environments.
- Exceptional communication and presentation skills, with the ability to engage technical and executive audiences.
- Certifications in AI and cloud architectures (e.g. NVIDIA, AWS, Azure, Google Cloud, or similar) are a plus.
- Subject matter expert in AI frameworks, Data Science and Data Engineering concepts, Predictive Analytics, and/or Generative AI development practices
- Working knowledge of full stack AI training, inference, development and deployment tools, including LLM, Feature Stores, Vector Databases, Embedding Models, ETL tooling, and modern programming languages/frameworks
- Executive presence with public speaking skills
- Entrepreneurial mindset
Preferred Qualifications
- Bachelor’s degree in Computer Science, AI, Data Engineering, or a related technical field or equivalent experience.
- Experience working with alliances, OEM, partner ecosystems, hyperscalers, and joint solution delivery.
- Previous experience as a sales engineer, technical sales, consultant or similar role, highlighting expertise in driving sales and technical conversations in the Data Science AI/ML and Generative AI space.
- Knowledge of ROI and AI - data center optimization metrics, including energy efficiency, space utilization, and performance tuning.
- Experience working with cloud providers and other 3rd parties for joint GTM, leveraging relationships to drive indirect sales and co-selling opportunities.
- Demonstrates a deep understanding of customer challenges and the ability to propose credible solutions.
- Certifications in AI and cloud architectures (e.g. NVIDIA, AWS, Azure, Google Cloud, or similar) are a plus.
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