The AI Solutions Architect is a technical pre-sales partner supporting enterprise customers across the APAC region. The role combines AI solution architecture with commercial engagement, translating customer requirements into practical AI solutions and supporting opportunities throughout the sales cycle.
You’ll work closely with sales, partners, and delivery teams to develop solutions, support customer engagements, and drive successful outcomes.
Key Responsibilities
- Serve as the technical counterpart to the AI sales lead in customer-facing engagements, providing architectural depth, solution credibility, and technical validation.
- Translate customer business problems into AI solution architectures spanning GPU/compute infrastructure, data platforms, AI/ML frameworks, AI networking, storage, and application layers.
- Design and present technical proposals, reference architectures, and proof-of-concept plans.
- Conduct technical discovery sessions to assess infrastructure readiness, workload requirements, integration complexity, and deployment considerations.
- Develop solution designs, sizing models, and technical specifications.
- Bridge pre-sales and delivery by ensuring architectures are feasible, accurately scoped, and properly documented for handover.
- Participate in scope reviews and statements of work validation with AI services and delivery teams.
- Operate as an integrated member of the regional AI team through weekly cadences, joint pipeline reviews, and account planning.
- Act as a trusted AI technical resource for regional field sales teams.
- Deliver technical AI training, architecture overviews, and enablement sessions to build field teams' confidence in identifying and qualifying AI opportunities.
Requirements:
- 10+ years of experience in technical pre-sales, solutions architecture, or advanced engineering, ideally within a technology solutions provider, OEM, cloud provider, or consulting environment.
- Hands-on experience designing AI/ML infrastructure and platforms, with the ability to whiteboard an end-to-end AI architecture covering GPU clusters, networking, storage, software stacks, MLOps pipelines, and inference deployment.
- Working knowledge of NVIDIA DGX/HGX systems, CUDA, AI Enterprise software, and AI technology partner integration patterns.
- Experience working with AI workloads across on-premises, cloud (AWS, Azure, GCP), and hybrid environments.
- Understanding of emerging AI infrastructure models such as GPU-as-a-Service and sovereign AI infrastructure.
- Exceptional ability to translate technical complexity into business-relevant narratives, with strong presentation and whiteboarding skills.
- Comfortable operating in a revenue-generating pre-sales environment, where technical engagement is closely tied to advancing opportunities.
- Experience collaborating within co-selling models involving sales specialists, field account teams, and technology partner resources.
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
Preferred Qualifications:
- NVIDIA-certified or equivalent AI/ML platform certifications.
- Cloud architecture certifications such as AWS Solutions Architect Professional, Azure Solutions Architect, or Google Cloud Professional Cloud Architect.
- Previous experience with a leading technology solutions provider, OEM, or cloud provider.
- Experience designing AI Factory or large-scale GPU cluster architectures for enterprise environments.
- Experience with lab-based proof-of-concept and technology validation environments.
- Master's or advanced degree in technology, analytics, business, or a related field.
Key Competencies:
Architectural Depth
Ability to design complete AI infrastructure stacks from first principles, with strong understanding across compute, networking, storage, software, and application layers.
Pre-Sales Instinct
Understands how technical engagement supports enterprise deal progression and can calibrate technical depth according to the audience and stage of the opportunity.
Communication Excellence
Ability to translate complex architectures into clear and compelling narratives for both technical and executive stakeholders.
Collaborative Team Player
Thrives in a team-selling environment and builds strong relationships with account teams, sales specialists, technology partners, and delivery teams.
Technical Currency
Maintains current knowledge across GPU/compute, networking, storage, AI software platforms, and MLOps, with a strong commitment to continuous learning.
Proof-of-Concept Champion
Uses technology labs and proof-of-concept environments to validate solutions, de-risk customer decisions, and accelerate opportunities.
Delivery Bridge
Ensures clean handover from pre-sales to delivery by clearly documenting architectures, assumptions, scope, and technical requirements
AS
Reg. No. R1874494
BeathChapman Pte Ltd
Licence no. 16S8112
