Presales Solutions Architect (Cloud & AI)

Project

Job Function:

Job Description:

• Lead AI-focused opportunities: RAG, vector databases, prompt engineering, and agentic workflows; leverage AWS Bedrock, SageMaker, and related tooling where relevant.
• Plan and run PoCs end-to-end: define success criteria, stand up environments, execute tests, document results, and present findings.
• Gather and document business and technical requirements; translate into solution architectures, PoC plans, and implementation approaches.
• Produce technical artifacts: reference architectures, proposals, SOWs, RFP responses, estimates/BOMs, and demo content.
• Demonstrate AWS best practices and architecture patterns.
• Maintain demo/playground environments; create TCO/ROI comparisons and competitive positioning.
• Collaborate with sales, product, delivery, and customer success to drive technical wins and ensure clean handoffs into delivery.
• Contribute to meetups, seminars, and customer enablement; provide market and product feedback to leadership.
• Lead customer-facing technical engagements: discovery sessions, whiteboarding, solution scoping, and workshops.
• Deliver presentations and workshops in Thai to effectively communicate technical solutions to customers.

Qualifications & Requirements:

• Bachelor’s Degree or higher in Computer Science, Computer Engineering, Information Technology or related fields.
• 2–5 years of experience in presales engineering, solutions architecture, or related customer-facing technical roles.
• Hands-on experience designing and implementing cloud solutions with strong AWS fundamentals.
• Proven ability to scope and execute PoCs end-to-end, including environment setup, testing, and success measurement.
• Experience designing scalable, secure, and cost-optimized cloud architectures following Well-Architected principles.
• Experience working with enterprise or regional customers in complex, multi-stakeholder environments.
• Strong analytical and problem-solving skills with the ability to translate complex technical concepts into clear business impact and ROI narratives.
• Solid grounding in networking, IAM, security controls, data integration, and observability.
• Strong consultative selling skills including discovery, objection handling, stakeholder management, and business value articulation.
• AWS certifications such as Solutions Architect – Associate or Professional, or equivalent hands-on experience. (preferred)
• Experience building and deploying AI/ML solutions in production environments, including monitoring, guardrails, and responsible AI practices. (preferred)
• Fluent in Thai with good English communication skills for collaboration, documentation, and regional/global coordination.

What AwareAI Offers

• Impactful, customer-facing role at the intersection of cloud and AI.
• Training and certification support (AWS and AI/ML).
• Clear growth path toward senior architect roles.
• Competitive compensation and benefits.

Welfare Benefits: