Solution Architect (Data + AI)

AI Transformation Lead

Ho Chi Minh - Viet Nam

Outsource

• AI

Develop a 3-year AI transformation roadmap aligned with business goals in IT outsourcing, product development, and ODC services. Prioritize highest-impact AI use cases in the organization using a build-vs-buy-vs-partner framework. Establish AI governance for model selection, cost management, data privacy, IP protection, and ethical AI guidelines. Implement AI-assisted development workflows for 1,000+ engineers, including AI code generation, review, automated testing, and AI-powered debugging. Drive adoption of AI orchestration platforms to automate repetitive engineering tasks. Create internal AI skills/training programs and a culture of continuous AI experimentation. Measure and report on productivity gains, quality improvements, and time-to-market acceleration from AI adoption. Collaborate with product teams to define AI features for various products. Lead the development of AI Copilots, intelligent assistants, and autonomous agents embedded within products. Guide the architecture of an Ontology-Based AI ERP/MES Platform, including Knowledge Graphs, GraphRAG, and Multi-Agent Systems. Identify new AI-powered product opportunities in logistics, manufacturing, and supply chain to create new revenue streams. Advocate for AI internally, communicate the vision, celebrate wins, and address concerns across all levels. Partner with HR to define new AI-focused roles and refine hiring criteria. Collaborate with ODC/Client Delivery teams to package and sell AI capabilities to existing and new clients. Represent the company externally in conferences, thought leadership, and talent branding to position the company as an AI leader in the IT services industry.

Negotiation

Head of Engineering - Marketing Technology

Ho Chi Minh - Viet Nam

Product

• Management

Develop an integrated roadmap for strategic execution based on the organization's strategic aspirations and lead the implementation process from planning to delivery. Manage multiple engineering teams throughout the organization to achieve desired outcomes, hence having knowledge of the organization's specific areas of operation is an advantage. Collaborate closely with business teams and product owners to verify requirements before and after delivery through showcases and post-production monitoring. Take responsibility for both the development and operation of applications in production, providing active operational support and establishing a clear support model with a focus on site reliability engineering. Direct and oversee the implementation of cybersecurity updates, including keeping software versions current and patching infrastructure regularly. Oversee investment allocation across the organization to maintain alignment, ensure effective spending, and offer insights on the effectiveness and prioritization of investments. Integrate engineering excellence with domain expertise in marketing while pursuing strategic technology objectives.

Negotiation

Principal IT Architect

Ho Chi Minh - Viet Nam

Outsource

Create target architecture, architecture principles, and technical guardrails for systems, platforms, and integrations Translate strategic objectives into specific technical initiatives and prioritize based on business value and risk Assess new technologies, platforms, and tools including their benefits, risks, costs, and strategic fit Develop solutions adhering to modern architecture principles such as cloud-native, Zero Trust, and automation Develop integration and platform strategies with consistent interfaces, API usage, and system integration Organize complex requirements into technical work packages and document solution designs Lead teams through critical implementation phases and make sound technical decisions Review architectures, designs, and implementations for consistency, quality, and strategic alignment Identify technical risks and develop mitigation measures Ensure comprehensive, clear, and updated documentation of systems and solutions Take technical lead on major incidents and structural problems Provide support for local IT administration tasks as needed Mentor senior and mid-level engineers, supporting individual growth and technical expertise Share best practices and experiential knowledge in a structured manner Identify skill gaps and initiate appropriate development measures Actively introduce and model modern technologies and ways of working Identify automation opportunities and implement them through scripting, workflows, or platform solutions Evaluate and integrate AI-powered tools to enhance efficiency and decision quality Promote AI competence within the team Evaluate technical solutions from an economic perspective: TCO, ROI, scaling costs, vendor lock-in Develop structured option comparisons and decision materials for leadership Identify cost savings through tool consolidation, decommissioning unused services, and cloud optimization

Negotiation