13 часов назад
Data & AI Presales Solution Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data & AI Presales Solution Architect (AI): Designing end-to-end AI, ML, GenAI, and Agentic AI architectures while leading presales solutioning, RFP responses, and customer transformation roadmaps with an accent on enterprise architecture, cloud platforms, and data technologies. Focus on translating business challenges into scalable solutions, facilitating customer workshops, and coordinating technical teams across complex consulting engagements.
Location: Remote or office-based, according to preference.
Company
is a data, analytics, and AI services company operating since 2008 with more than 1,800 employees across seven global sites.
What you will do
- Lead Data, Analytics, AI, and GenAI solutioning for strategic sales opportunities.
- Run customer discovery workshops and translate business challenges into scalable technology and delivery solutions.
- Lead technical responses to RFPs and RFIs, executive presentations, architecture reviews, and due diligence sessions.
- Design end-to-end AI architectures and define technology choices, delivery approaches, operating models, and implementation roadmaps.
- Advise customers on high-value AI and analytics use cases across supply chain, manufacturing, marketing, customer analytics, commercial excellence, and operations.
- Support strategic delivery projects, mentor technical teams, and develop reusable frameworks, accelerators, demos, and reference architectures.
Requirements
- 8+ years of experience in data, analytics, AI, software consulting, solution architecture, or technical presales.
- Strong presales experience in Data & AI services and a record of supporting complex sales opportunities and winning engagements.
- Experience leading technical workstreams for RFP, RFI, and proposal processes.
- Ability to design large-scale enterprise solutions and connect business requirements with technical implementation approaches.
- Hands-on experience with Azure, Google Cloud Platform, or AWS, plus Databricks or modern data platform technologies.
- Fluent English at C1 level required. Knowledge of machine learning, LLMs, generative AI, multi-agent systems, knowledge management, MLOps, and LLMOps is required.
Nice to have
- Experience in CPG, retail, manufacturing, or supply chain.
- Experience with Microsoft Fabric, Snowflake, dbt, MLflow, or similar technologies.
- Experience building AI transformation roadmaps or leading advisory engagements in AI adoption, architecture, governance, or transformation.
- Global enterprise customer experience, public speaking, thought leadership, or conference presentation experience.
Culture & Benefits
- Stable employment with a company established in 2008 and operating across seven global sites.
- Office-as-an-option model with remote and office-based work choices, flexible working hours, and contract preferences.
- Workation opportunities in line with company policy.
- Online onboarding with a buddy, modern office equipment, and collaboration with experienced engineers and experts.
- Udemy access, certificate training, competency programs, knowledge-sharing sessions, webinars, and more than 110 annual training opportunities.
- Inclusive, values-driven community with well-being initiatives, charitable activities, and environmental support.
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