AI Solution

Robosoft Technologies Inc

United States

Remote

USD 44,000 - 88,000

Full time

12 days ago
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Job summary

Robosoft Technologies is seeking a Senior Pre-Sales and Solution Consulting leader to partner with sales and practice leadership to shape AI proposals and solution narratives for clients. You will run discovery workshops, own the AI solution story in RFP responses, qualify opportunities, build ROI models, and define success metrics to ensure measurable value.

Based in Malaysia, you will lead onsite engagements, mentor consultants, and contribute to capability building and thought leadership in

Qualifications

  • 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.

Responsibilities

  • 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.
  • Build ROI models and 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.
  • 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.
  • 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.

Skills

Pre-sales experience
Solution consulting
Executive communication
Stakeholder management
Workshop facilitation
Proposal & RFP leadership

Education

Bachelor's or Master's degree

Tools

AI frameworks

Job description

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.

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