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Accenture

Pre-Sales Engineer AI &Data

Accenture
BusinessSingaporeFull-time2 weeks ago
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About the role

AI summarised

Pre-Sales Engineer for AI & Data at Accenture, responsible for driving strategic growth by shaping and supporting high-value AI and data solutions for clients across Southeast Asia. Combines deep technical expertise with commercial acumen to lead the technical pre-sales process, design end-to-end architectures, and deliver compelling client presentations.

BusinessFull-timeSales

Key Responsibilities

  • Work closely with sales and account teams to identify client needs and shape AI and data solutions aligned to business and technology objectives
  • Lead the technical pre-sales process, including discovery workshops, solution design, estimations, and responses to RFPs/RFIs
  • Design and articulate end-to-end AI and data architectures, spanning data platforms, analytics, and machine learning use cases
  • Deliver compelling client presentations, demos, and prototypes that clearly communicate the business value of AI and data solutions
  • Collaborate with solution architects, delivery teams, and subject matter experts to ensure solutions are feasible, scalable, and commercially viable
  • Partner with ecosystem technology providers and platforms where relevant to enhance solution offerings
  • Stay current on emerging AI, machine learning, and data analytics trends to inform solution design, risk mitigation, and go-to-market approaches

Requirements

  • 12+ years of experience in AI, data analytics, cloud solutions, or technology strategy, with a strong track record in pre-sales or solutioning
  • Demonstrated experience in pre-sales, solution architecting, or sales-engineering roles supporting complex AI/data/cloud engagements
  • Deep expertise in AI/ML concepts, data analytics platforms, and modern data architectures
  • Strong stakeholder management and executive communication skills, with the ability to influence senior leaders and negotiate at a strategic level
  • Proven ability to translate complex technical concepts into clear, compelling business value for clients
  • Experience working with Southeast Asia (SEA) markets is preferred
  • Experience working with multiple cloud platforms and AI/data toolchains
  • Background in consulting, technology services, or large-scale digital transformation programs
  • Demonstrated experience engaging with technology vendors, platforms, or broader partner ecosystems