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Principal Solutions Architect (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Principal Solutions Architect (AI): Designing scalable AI, data, and HPC architectures that connect DDN technologies to customer infrastructure challenges with an accent on AI/ML infrastructure, performance optimization, and operational efficiency. Focus on leading technical presentations, demonstrations, proof-of-concepts, and workshops while solving complex architecture and time-to-insight challenges.
Location: Hybrid in New York, United States
Company
provides AI and data platform technologies for AI, machine learning, and high-performance computing solutions.
What you will do
- Advise customers on AI, data, and infrastructure challenges and recommend tailored solutions.
- Design scalable AI and data architectures focused on performance, latency, operational efficiency, and long-term growth.
- Lead technical presentations, product demonstrations, proof-of-concepts, and customer workshops throughout the sales cycle.
- Collaborate with Sales, Engineering, Product, and Marketing teams on customer engagements and strategy.
- Support cloud provider, OEM, integrator, hyperscaler, partner, and alliance relationships.
- Deliver technical enablement and training for internal teams and external partners.
Requirements
- Strong background in AI/ML infrastructure, data engineering, AI application development, or technical consulting.
- Experience with LLMs, RAG, inference, neural networks, vector databases, and AI pipelines.
- Hands-on familiarity with TensorFlow, PyTorch, NVIDIA Enterprise Suite, NeMO, and NIMs.
- Experience supporting complex customer engagements in pre-sales or solution consulting.
- Ability to communicate with technical teams and executive stakeholders, with strong presentation, relationship-building, and strategic problem-solving skills.
- Bachelorβs degree in Computer Science, AI, Data Engineering, or a related field, or equivalent experience.
Nice to have
- Experience with cloud providers, strategic alliances, and partner ecosystems.
- Background in technical sales engineering, AI consulting, or customer-facing architecture.
- Knowledge of AI infrastructure optimization, scalability, and data center performance.
Culture & Benefits
- Full-time employment in a hybrid work environment.
- Cross-functional collaboration with Sales, Engineering, Product, and Marketing.
- Customer-facing work involving partners, alliances, and executive stakeholders.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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