13 дней назад
Customer Solutions Architect / AI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Customer Solutions Architect / AI Engineer (AI): Leading technical new-logo sales cycles and building proof-of-concepts for Teradata's AI and hybrid cloud data platform with an accent on solution architecture, competitive positioning, and workload benchmarking. Focus on designing RAG and vector-store demonstrations, sizing enterprise data platforms, and presenting technical validation to customers and senior stakeholders.
Location: Hybrid in Kuala Lumpur, Malaysia
Company
provides an AI and knowledge platform connecting data, business context, and AI across cloud, on-premises, and hybrid environments for large enterprises.
What you will do
- Lead the technical side of new-logo sales cycles, including discovery, architecture design, competitive positioning, and solution validation.
- Design and run proof-of-concepts using customer workloads and representative data, covering setup, testing, execution, results review, and stakeholder presentations.
- Demonstrate Compute Engine and Elastic Compute capabilities for workload scaling, cost efficiency, and resource separation.
- Build reference architectures, competitive summaries, PoC frameworks, and reusable field materials for APJ.
- Work with sales, product, engineering, and customer teams to identify opportunities, communicate product feedback, and support commercial decisions.
- Participate in prospect briefings, industry events, and field marketing activities across APJ.
Requirements
- 8+ years of experience in presales or solution architecture, focused on new business and competitive sales cycles.
- Experience contributing to new-logo wins, including completed PoCs, closed competitive deals, and successful technical evaluations.
- Practical experience with AWS, Azure, or GCP and knowledge of cloud-native and hybrid cloud data platforms.
- Knowledge of data platform architecture, parallel processing, lakehouse patterns, streaming ingestion, query benchmarking, and platform sizing.
- Working knowledge of RAG architecture, vector stores, embedding models, similarity search, and enterprise LLM workflows.
- Practical SQL and Python skills, strong presentation and technical writing abilities, and new-business experience across APJ.
Nice to have
- Experience with financial services, retail and consumer goods, public sector, manufacturing, or supply chain data platforms.
- Experience using AI Studio or a comparable platform in customer demonstrations or PoCs.
- Degree in computer science, software engineering, mathematics, data science, or a related field, or equivalent professional experience.
Culture & Benefits
- Flexible work model with a focus on employee autonomy.
- People-first and inclusive working environment.
- Focus on employee well-being and professional development.
- Opportunity to work on competitive enterprise technical sales engagements across APJ.
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