AI Deployment Strategist

Systems Limited; Kuala Lumpur; On-site; MYR 150,000 - 240,000; Full time

Job summary

Systems Limited is seeking an AI Deployment Strategist with 15–20 years of experience to lead discovery, scoping, and governance for AI-driven client solutions.

You will translate complex business needs into buildable use cases, define success metrics, and draft compelling technical narratives for executive audiences, while guiding regulatory and architecture discussions. The role involves facilitating workshops and managing client relationships through pursuit stages.

Qualifications

• 15–20 yrs in technology/solutions consulting with genuine, deep exposure to AI/ML or data projects.
• Enough technical grounding to hold a credible architecture conversation — not just relay requirements.
• Skilled in structured discovery methodologies (design thinking, use-case prioritization, jobs-to-be-done).
• Working understanding of technical compliance/regulatory frameworks relevant to AI (data residency, EU AI Act, sector rules).
• Familiar with major cloud AI platforms — Microsoft Azure AI Foundry, AWS Bedrock, and Google Vertex AI — for scoping conversations; open-source awareness a good-to-have.

Responsibilities

• Run technical discovery sessions to map the client's data, systems, and AI readiness.
• Own requirements-to-scope translation — converting business pain into structured, buildable use cases.
• Define success criteria and evaluation methodology for the proposed solution before build starts.
• Draft the technical narrative of the proposal/SOW — architecture summary, risk framing, delivery approach.
• Assess technical compliance requirements during scoping.
• Partner with Field CTO/Solution Architect to validate scope is buildable within budget and timeline.
• Manage the day-to-day client relationship during the pursuit so technical staff stay focused on the build.
• Facilitate stakeholder workshops across client business and technical functions.
• Maintain the qualification and pursuit tracker for Head of Presales & Solutioning.
• Own change-management framing for the proposed solution — how the client's org will need to adapt.
• Lead or co-lead client oral presentations, translating technical scope into a business case executives approve.

Skills

AI/ML exposure

Solution architecture

Executive writing

Structured discovery

Stakeholder facilitation

Regulatory familiarity

Job description

We are seeking a AI Deployment Strategist with approximately 15-20 years of experience in the field.

Responsibilities:

• Run technical discovery sessions to map the client's current data, systems, and AI readiness
• Own requirements-to-scope translation — converting business pain into structured, buildable use cases
• Define success criteria and evaluation methodology for the proposed solution before build starts
• Draft the technical narrative of the proposal/SOW — architecture summary, risk framing, delivery approach
• Assess technical compliance requirements (data residency, security, regulatory) during scoping
• Partner with the Field CTO/Solution Architect to validate that scope is technically buildable within budget and timeline
• Manage the day-to-day client relationship during the pursuit so technical staff stay focused on the build
• Facilitate stakeholder workshops across client business and technical functions
• Maintain the qualification and pursuit tracker for the Head of Presales & Solutioning
• Own change-management framing for the proposed solution — how the client's org will need to adapt
• Lead or co-lead client oral presentations, translating technical scope into a business case executives approve

Requirements:

• 15–20 yrs in technology/solutions consulting with genuine, deep exposure to AI/ML or data projects
• Enough technical grounding to hold a credible architecture conversation — not just relay requirements
• Skilled in structured discovery methodologies (design thinking, use-case prioritization, jobs-to-be-done)
• Working understanding of technical compliance/regulatory frameworks relevant to AI (data residency, EU AI Act, sector rules)
• Familiar with major cloud AI platforms — Microsoft Azure AI Foundry, AWS Bedrock, and Google Vertex AI — for scoping conversations; open-source awareness a good-to-have
• Understands delivery methodology well enough to scope a realistic PoC-to-production path
• Demonstrated ability to write clearly for executive audiences
• Comfortable running structured workshops under time pressure with senior client stakeholders
• Strong facilitation and active-listening skills — surfaces the real problem, not just the stated one
• Diplomatic under pressure — manages scope-creep conversations without damaging the relationship
• Success metrics: proposal/SOW cycle time and quality (fewer redlines) · client satisfaction during the pursuit phase, independent of win/loss · scope accuracy at handover to delivery