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AI Pre-Sales Architect

kaidon.ai · Abu Dhabi

New
Senior 🇬🇧 English
Azure-native services analytics platforms SaaS integration event-driven patterns data platforms application modernization data lakes cloud transformation MLOps frameworks AI enablement CRM APIs ERP TOGAF Containers Oracle Kubernetes

Job description

About the role

The AI Pre-Sales Architect will act as the strategic technical lead in pre‑sales engagements, guiding clients through large‑scale transformation of application portfolios, data platforms and AI enablement on Azure.

Key responsibilities

  • Lead strategic consulting conversations to identify transformation opportunities across applications, data and AI/automation.
  • Translate business and technology requirements into end‑to‑end solution architectures, reference models, migration patterns and roadmaps.
  • Design application modernization solutions including re‑platforming, containerization, micro‑services, API enablement and event‑driven patterns.
  • Architect data and AI solutions such as data lakes, MLOps frameworks and analytics platforms using Azure‑native services.
  • Integrate SaaS and enterprise systems (e.g., Oracle, CRM, ERP) ensuring governance, security and interoperability.
  • Develop solution proposals, RFP responses, estimates and statements of work in collaboration with pursuit and delivery teams.
  • Conduct executive and technical workshops to shape strategic outcomes and drive solution direction.

Required profile

  • Extensive experience in solution architecture, application modernization or cloud transformation, preferably within global system integrators or large consulting firms.
  • Proven delivery background with hands‑on implementation knowledge before moving into pre‑sales.
  • Strong stakeholder management and communication skills, comfortable with C‑level and senior technical audiences.
  • Enterprise architecture certification (e.g., TOGAF) strongly preferred; Azure Solution Architect Expert or equivalent advantageous.

Required skills

  • Azure‑native services, PaaS, serverless, databases, analytics and AI toolchains
  • Application modernization: containers, Kubernetes, micro‑services, APIs, event‑driven patterns
  • Data platforms: data lakes, MLOps frameworks, analytics platforms
  • SaaS integration, Oracle, CRM, ERP systems
  • Enterprise architecture frameworks (TOGAF)

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Published 2 hours ago

Expires 1 month from now

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kaidon.ai

Abu Dhabi