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KMS Technology

123 Cong Hoa, TP Hồ Chí Minh

Company Size : 500-999

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Job Summary

  • 500-999
  • Outsourcing
  • Việt Nam

AI Solutions Architect

KMS Technology

  • Tân Bình, TP Hồ Chí Minh
  • Negotiable
  •  Full Time
  •  English
  •  Experienced (Non-Manager)
1
1

  •  Posted:25/04/2026

  • Apply now
AI Solutions Architect
Apply now
Technical Skill: AI (Artificial Intelligence) , SDLC , Architecture , Java , JavaScript , .NET , Python , API , TypeScript , Observability , Golang , A/B Testing , MLOps , LLM , RAG , LangGraph , Copilot , MCP , AutoGen , Claude , CrewAI , Cursor

Job description

Overview of job

AI-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 frameworks
  • Build and lead multi-agent systems using orchestration layers such as Claude Code, GitHub Copilot Workspace, Cursor, LangGraph, CrewAI, or equivalent — from prototype to production
  • In 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 hurts
  • Establish prompt engineering standards, agent evaluation (evals) loops, and AI output quality gates across the delivery organization

Capability & Standards Leadership

  • Prior experience in a lead, principal, or staff engineer role with demonstrated cross-team influence 
  • Experience in outsourcing, consulting, or multi-client delivery environments
  • Track record of building or leading an internal community of practice, guild, or AI adoption program
  • Develop and continuously evolve KMS's AI-native SDLC playbook — standards, workflow templates, case studies, and guardrails that delivery teams can adopt immediately
  • Design and lead internal upskilling programs (workshops, pairing) that move engineers from AI-assisted to AI-native working patterns
  • Track the AI capability frontier — model improvements, new agent frameworks, emerging risks — and translate signals into timely updates to KMS's practices

Client Delivery

  • Work 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 life
  • Design and deploy agent-orchestrated workflows tailored to each client's stack, team maturity, and delivery context — with measurable ROI
  • Build business cases for AI-native adoption with clients and account managers, framing the value in terms of velocity, quality, and cost
  • Represent KMS's AI-native engineering capabilities in client conversations, QBRs, and RFP responses — acting as a credible technical authority

Perks 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 career 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 year-end party, 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 snacks (instant noodles, cookies, candies…)

And much more, join us and let yourself explore other fantastic things!

Job Requirement

Core Engineering Foundation

  • 8+ years of professional software engineering, with a proven track record of leading technical initiatives that span multiple teams or systems 
  • Deep hands-on experience across the full SDLC: from requirements and architecture through testing, deployment, and production operations 
  • Demonstrated ability to lead technical direction — setting standards, reviewing architecture decisions, and influencing without direct authority
  • Strong command of software architecture principles: system decomposition, API design, scalability, observability, and failure mode reasoning
  • Proficiency in at least one primary language: Python, TypeScript/JavaScript, Java, .Net or Go — with experience across multiple layers of the stack

AI & Agentic Systems Fluency

  • Proven, production-grade experience with AI coding agents as a core part of your daily workflow 
  • Strong understanding of LLM API integration in production: context window management, latency and cost tradeoffs, model selection criteria, fallback strategies, and output reliability patterns
  • Experience or strong interest in multi-agent orchestration patterns: task decomposition, agent communication, tool use, memory, and eval loops
  • Working knowledge of RAG architectures, embedding strategies, and how to ground AI agents in domain-specific, proprietary knowledge bases
  • Ability 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 time

Nice to have

  • Experience with agentic frameworks: LangGraph, CrewAI, AutoGen, or similar orchestration patterns
  • MLOps knowledge: model deployment, monitoring, drift detection, A/B testing in production
  • Proficient daily use of AI coding tools (Copilot, Cursor, Claude Code) across the full SDLC
  • Able to decompose complex tasks, provide effective context, and apply chain-of-thought and multi-step prompting workflows
  • Experience with agentic workflows and AI-driven development frameworks
  • Hands-on experience integrating AI tools with other systems via MCP (Model Context Protocol) or equivalent
  • Awareness of emerging AI tools and willingness to evaluate and adopt new capabilities

Languages

    • English

    • Speaking: Intermediate - Reading: Intermediate - Writing: Intermediate

Technical Skill

  • AI (Artificial Intelligence)
  • SDLC
  • Architecture
  • Java
  • JavaScript
  • .NET
  • Python
  • API
  • TypeScript
  • Observability
  • Golang
  • A/B Testing
  • MLOps
  • LLM
  • RAG
  • LangGraph
  • Copilot
  • MCP
  • AutoGen
  • Claude
  • CrewAI
  • Cursor

COMPETENCES

  • R&D
  • Reliable
  • Communication Skills

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BUSINESS PROFILE

KMS Technology, Agile & innovative global outsourcing.

KMS provides services across the software development lifecycle through partnerships with clients ranging from start-ups to large technology companies. We offer two main service lines: Offshore Product Development and Independent Software Testing.

Our infrastructure, methodology, team design, employee profile and client relationship models are designed to maximize the success of our clients in which we can help reduce time to market and increase quality.

Most importantly, our culture is defined to encourage our highly experienced teams to deliver innovative solutions that don’t just meet our client’s needs, but also exceed their expectations.

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