8 дней назад
Principal AI Solutions Architect (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal AI Solutions Architect (AI/ML): Designing and demonstrating high-performance AI, machine learning, and data management solutions for customer environments with an accent on generative AI, data architecture, and measurable business outcomes. Focus on architecting scalable AI/ML workflows, supporting complex pre-sales engagements, and solving performance, utilization, latency, and time-to-insight challenges.
Location: Santa Clara Office, hybrid
On-target earnings: $300,000–$330,000, plus equity and commission.
Company
provides high-performance AI, data management, HPC, and cloud storage solutions.
What you will do
- Architect and position scalable AI, ML, HPC, and data management solutions aligned with customer business outcomes.
- Lead technical discovery, presentations, product demonstrations, proof-of-concept delivery, and pre-sales customer development.
- Design data architectures and strategies supporting AI/ML workflows, training, inference, analytics, and deployment.
- Apply generative AI expertise across LLMs, neural networks, RAG, inference, recommendation systems, and AI application frameworks.
- Collaborate with Sales, Product, Marketing, Engineering, alliances, OEMs, cloud providers, hyperscalers, channels, and integrators on joint solutions and go-to-market initiatives.
- Train internal teams and partners while supporting successful adoption, usage, and measurable business impact.
Requirements
- 8+ years of experience in AI/ML infrastructure, data engineering, consulting for AI projects, or AI/ML and data science application development.
- Demonstrable expertise in generative AI, including LLMs, neural networks, recommendation systems, RAG, inference, and AI workflows.
- Experience with TensorFlow, PyTorch, NVIDIA Enterprise Suite, NeMO, NIMs, feature stores, vector databases, embedding models, ETL tools, and modern programming frameworks.
- Proven success delivering technical wins in complex sales or consulting environments.
- Exceptional communication, presentation, executive presence, and public speaking skills.
- Subject-matter expertise in AI frameworks, data science, data engineering, predictive analytics, or generative AI development.
Nice to have
- Bachelor’s degree in Computer Science, AI, Data Engineering, or a related technical field, or equivalent experience.
- AI and cloud architecture certifications from NVIDIA, AWS, Azure, Google Cloud, or similar providers.
- Experience with alliances, OEMs, partner ecosystems, hyperscalers, cloud providers, joint solution delivery, and co-selling.
- Knowledge of ROI and data center optimization metrics, including energy efficiency, space utilization, and performance tuning.
Culture & Benefits
- Hybrid work from the Santa Clara office.
- Equity participation.
- Commission opportunity.
- Cross-functional collaboration across Sales, Product, Marketing, Engineering, and partner organizations.
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