Solution Architect / AI-Native Software Engineer Lead

Tp Hồ Chí Minh
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Toàn thời gian

1 ngày trước
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Company DescriptionKMS Technology is a strategic engineering company helping businesses turn bold ideas into high-impact solutions-faster. Founded in 2009 as a U.S.-based services company, we’ve grown into a global organization with locations in the US, Vietnam, Mexico and Poland. KMS is trusted globally for the quality of our engineering and consulting services. We bring deep expertise in product development and quality assurance, Data & AI-native engineering, and delivery excellence to every engagement. Our mission is to help customers build what’s next—accelerating innovation, crafting brilliant solutions, and creating real-world impact. At KMS, we believe sustainable growth is built on the success of our clients and employees, and in making a lasting contribution to our communities.More about KMS Technology:Website:LinkedIn:Job DescriptionAI-Native Engineering Practice - Technical Ownership:Own and continuously evolve KMS's AI-native SDLC operating model at KMS: agent workflow designs, verification gates, context management standards, and eval frameworksBuild and lead multi-agent systems using orchestration layers such as Claude Code, GitHub Copilot Workspace, Cursor, LangGraph, CrewAI, or equivalent — from prototype to productionIn collaboration with the Director of Engineering, contribute to and help maintain KMS's AI toolchain selection criteria — evaluating tools with engineering rigor, not hype — and publishing internal guidance on when AI helps and when it hurtsEstablish prompt engineering standards, agent evaluation (evals) loops, and AI output quality gates across the delivery organizationCapability & Standards LeadershipPrior experience in a lead, principal, or staff engineer role with demonstrated cross-team influenceExperience in outsourcing, consulting, or multi-client delivery environmentsTrack record of building or leading an internal community of practice, guild, or AI adoption programDevelop and continuously evolve KMS's AI-native SDLC playbook — standards, workflow templates, case studies, and guardrails that delivery teams can adopt immediatelyDesign and lead internal upskilling programs (workshops, pairing) that move engineers from AI-assisted to AI-native working patternsTrack the AI capability frontier — model improvements, new agent frameworks, emerging risks — and translate signals into timely updates to KMS's practicesClient DeliveryWork closely alongside KMS Delivery Teams — as an AI transformation advisor and execution partner — identifying the highest-value automation opportunities across the SDLC and coordinating with the team to bring them to lifeDesign and deploy agent-orchestrated workflows tailored to each client's stack, team maturity, and delivery context — with measurable ROIBuild business cases for AI-native adoption with clients and account managers, framing the value in terms of velocity, quality, and costRepresent KMS's AI-native engineering capabilities in client conversations, QBRs, and RFP responses — acting as a credible technical authorityQualificationsCore Engineering Foundation8+ years of professional software engineering, with a proven track record of leading technical initiatives that span multiple teams or systemsDeep hands-on experience across the full SDLC: from requirements and architecture through testing, deployment, and production operationsDemonstrated ability to lead technical direction — setting standards, reviewing architecture decisions, and influencing without direct authorityStrong command of software architecture principles: system decomposition, API design, scalability, observability, and failure mode reasoningProficiency in at least one primary language: Python, TypeScript/JavaScript, Java, .Net or Go — with experience across multiple layers of the stackAI & Agentic Systems FluencyProven, production-grade experience with AI coding agents as a core part of your daily workflowStrong understanding of LLM API integration in production: context window management, latency and cost tradeoffs, model selection criteria, fallback strategies, and output reliability patternsExperience or strong interest in multi-agent orchestration patterns: task decomposition, agent communication, tool use, memory, and eval loopsWorking knowledge of RAG architectures, embedding strategies, and how to ground AI agents in domain-specific, proprietary knowledge basesAbility to design and run AI evals: you can define quality metrics, build evaluation datasets, detect regressions, and use quantitative signals to improve agent behaviour over timeNice to haveExperience with agentic frameworks: LangGraph, CrewAI, AutoGen, or similar orchestration patternsMLOps knowledge: model deployment, monitoring, drift detection, A/B testing in productionFamiliarity with AI security risks: prompt injection, adversarial inputs, data leakage in agentic contextsAdditional InformationPerks You'll Enjoy

Working in one of the Best Places to Work in Vietnam
Building large-scale & global software products
Working & growing with Passionate & Talented Team
Diverse careers opportunities with Software Services, Software Product Development, IT Solutions & Consulting
Flexible working time
Various training on hot-trend technologies, best practices and soft skills
Company trip, big annual year-end party every year, team building, etc.
Fitness & sport activities: football, tennis, table-tennis, badminton, yoga, swimming…
Joining community development activities: 1% Pledge, charity every quarter, blood donation, public seminars, career orientation talks,…
Free in-house entertainment facilities (foosball, ping pong, gym…), coffee, and snack (instant noodles, cookies, candies…)

And much more, join us and let yourself explore other fantastic things!Talent Acquisition Team ► Hotline: (84) 938 118 997 ► Email:

KMS Technology