SM, Presales Consultant (AI & Data Engineering)

Client Engagement & Problem Definition

• Engage government agencies and enterprises to identify, distil, and prioritise digital pain points, translating broad challenges into clear problem statements and opportunity areas.
• Work with business and IT stakeholders, including senior management and CXOs, to understand strategic objectives, operational constraints, and technology readiness.
• Advise clients on how digital and emerging technologies can address complex, cross-functional, or sector-level challenges

Solutioning & Use Case Development

• Scope, design, and structure use cases that may span multiple Accreditation and Spark portfolio companies, ensuring solutions are coherent, scalable, and outcome-driven.
• Lead solutioning across the frontier AI stack, covering generative AI (LLMs, multimodal models, retrieval-augmented generation), agentic AI (autonomous agents, multi-agent orchestration, tool use, workflow automation), and embodied AI (physical AI systems, robotics, human-machine interaction).
• Unpack and evaluate emerging and frontier technologies (e.g. AI, data platforms, cybersecurity, cloud, digital trust) and assess their applicability to real-world enterprise and government use cases.
• Architect and develop end-to-end solution concepts encompassing data pipelines, model infrastructure, integration layers, and deployment considerations, with digital trust and AI governance embedded by design.

Presales & Opportunity Support

• Support value creation teams to identify, qualify, and prioritise opportunities for technology solutioning across the portfolio.
• Participate in buyer meetings, solution discussions, and presentations to articulate value propositions, solution approaches, and trade-offs clearly and credibly.
• Translate client requirements into solution proposals, covering technical approach, commercial considerations, delivery models, and potential partners.

Demonstrations, Workshops & Enablement

• Design and conduct innovation workshops, proof-of-concept demonstrations, and technical deep-dives to help buyers visualise solution value and adoption pathways.
• Facilitate co-creation sessions with clients and portfolio companies to refine use cases and align expectations across stakeholders.

Market Intelligence & Solution Curation

• Identify, assess, and benchmark top-tier digital solutions from global and local technology leaders, ensuring alignment with enterprise and government requirements.
• Monitor developments across the AI and digital trust landscape, including model advancements, data platform evolution, and emerging regulatory requirements, to maintain technical credibility in advisory engagements and inform solution design.
• Provide feedback to portfolio and internal teams on market demand signals, gaps, and emerging opportunities.

(A) Academic

• Bachelor’s or Master’s degree in Computer Science, IT, or related field.
• Professional certifications (e.g. AWS, Azure, Google Cloud) are advantageous.

(B) Experience

• Minimum of 10 years experience in pre-sales, solution consulting, technical sales or related roles.
• Strong knowledge of modern technology stack and experience in solution consulting
• Excellent communication skills with the ability to explain complex technical details to diverse audiences.
• Expertise in system architecture design, cloud computing, microservices, and enterprise-level software development.
• Strong knowledge of operating systems, databases, networking, and security protocols.
• Plugged into the ICT tech, start-up and/or R&D ecosystem in Singapore with strong knowledge of security standards and system scalability

Only shortlisted candidates will be notified.

Position will be commensurate with experience.

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