AI Solution

Pre-Sales and Solution Consulting

• Partner with Sales and practice leadership to shape AI proposals, pitches and solution narratives for prospective and existing clients.
• Run discovery and ideation workshops with client stakeholders to surface goals, pain points, data readiness and organisational constraints.
• Own the AI solution story in RFP responses and bid defences, including scope, delivery approach, commercial shape and risk.
• Qualify opportunities honestly - recommend against use cases where the data, readiness or value case does not hold up.

Business Case and Roadmap Definition

• Build ROI models and business cases that quantify value, cost and payback period for each candidate use case.
• Sequence AI adoption roadmaps across quick wins, platform foundations and transformational bets.
• Define success measures with the client before build starts, so value realisation is measurable rather than anecdotal.

Engagement Leadership

• Act as the onsite engagement lead for AI consulting and implementation programmes, owning client confidence end to end.
• Hold the bridge between client and delivery - translate business intent into technical direction, and technical constraint into business language.
• Govern scope, risk and stakeholder alignment across the engagement, escalating early rather than late.

Capability and Practice Building

• Develop and refine proprietary AI frameworks, methodologies, accelerators and reusable toolkits.
• Mentor consultants and engineers moving into client-facing AI work, and run internal enablement sessions.
• Publish thought leadership - white papers, points of view and case studies - and represent Robosoft at client and industry forums.
• Track emerging AI technologies and regulation, and fold the implications into our frameworks and client advice.

Who You Are

• Credible with executives: You hold your own in a CDO, CTO or CMO conversation, and you are asked back because you were useful rather than impressive.
• Commercially honest: You quantify value, and you say plainly when a use case will not return its cost, even when it shrinks the deal.
• Technically grounded: You can challenge an architecture choice or a model selection without needing an engineer in the room to validate you.
• A builder of reusable assets: You finish an engagement and leave behind a framework, template or playbook the next team can use.
• Comfortable with ambiguity: You can walk into an unstructured client problem, frame it within a week, and get stakeholders to agree on the frame.

Leadership Expectations

• Define and uphold consulting standards for AI engagements - discovery approach, deliverable quality and value-case rigour.
• Mentor 2 to 5 consultants or engineers, reviewing their client deliverables and coaching their stakeholder handling.
• Influence practice-level go-to-market decisions in Malaysia - which offers we lead with, and which segments we pursue.
• Represent the AI practice externally, contributing to hiring, partner conversations and industry presence.

What You Bring

Required Experience

• 12 to 15 years in consulting, digital transformation, or AI and analytics programmes.
• Proven pre-sales or solution consulting experience with executive-level stakeholders, including owning proposals and RFP responses.
• Demonstrated engagement or programme leadership on AI or analytics initiatives, ideally onsite with the client.
• Track record of building business cases and ROI models that secured programme funding.
• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, Engineering, Business or a related discipline.
• Based in Malaysia, working Malaysia Time (GMT+8) hours, with the ability to travel occasionally for key client meetings.

Additional Skills

• Executive communication and storytelling - you can compress a complex programme into three slides and defend it under questioning.
• Stakeholder management across levels, from C-suite sponsors to the engineering leads who inherit the work.
• Workshop facilitation with mixed business and technical groups.

Written fluency - proposals, points of view and case studies that read as authored, not assembled.