# AI/ML Architect (Generative AI) - HCM

**Company:** TechX Corporation
**Department:** Delivery
**Location:** Ho Chi Minh City

### Company Overview:

At **TechX** , we are pioneers in delivering cutting-edge solutions that empower businesses to thrive in today’s digital landscape. With a strong focus on **Cloud Transformation (AWS)**, **Data Modernization** , and **Generative AI** , we bring unparalleled expertise to drive innovation, efficiency, and growth for our clients.

We specialize in **banking and financial services, retail, manufacturing, and transportation** , delivering impactful solutions that address industry-specific challenges and significant market shifts.

Together, we’ll build a future where innovation knows no limits.

### Job Overview:

We are looking for an experienced **AI/ML Architect** to own the technical foundation of our agentic AI platform. You will define the reference architecture for our multi-agent, RAG-based system, set model and evaluation governance standards, and make the key build decisions the platform depends on. This is a hands-on leadership role for an architect who can both design the blueprint and guide engineers in delivering production-grade, auditable GenAI systems for enterprise and regulated industries.

### Key Responsibilities:

- Own the end-to-end reference architecture for the agentic platform: model/LLM strategy, RAG design, agent orchestration, and tool-use patterns.

- Define model governance: model selection (cloud and local / open-weight), evaluation approach, quality gates, versioning, and traceability.

- Set architecture standards for security, human-in-the-loop (HITL), audit logging, and data control in regulated enterprise deployments.

- Make build-vs-buy and infrastructure decisions across cloud and on-premise execution environments.

- Guide and review the work of runtime, RAG/data, and platform engineers to ensure architectural consistency.

- Partner with Solution Engineering, Product, and cloud-alliance teams to translate customer use cases into a scalable reference design.

### Key Requirements:

- 5+ years in ML/AI engineering, with 2+ years in an architect or technical-lead capacity.

- Proven track record designing and shipping Generative AI / RAG / agentic systems in production.

- Deep understanding of RAG, agentic frameworks, multi-agent orchestration, DeepSearch, and evaluation methodology.

- Strong hands-on experience with LangChain / LlamaIndex and vector databases (Qdrant, ChromaDB, OpenSearch, Pinecone).

- Solid understanding of the Model Context Protocol (MCP) and modern agent tool-use patterns.

- Experience with AI platforms - Azure AI, Vertex AI; bonus for AWS Bedrock / SageMaker — and self-hosted inference (vLLM, llama.cpp, GGUF models).

- Experience designing for security, governance, audit, and HITL in regulated environments (BFSI, government) is a strong plus.

- Strong computer science foundation; proficiency with REST API, gRPC, WebSocket, microservices, and cloud-native architecture.

- Excellent communication skills to align engineering, product, and customer stakeholders around an architecture vision.

### What We Offer:

- **Innovative Environment:** A dynamic and collaborative work environment where innovation is encouraged.

- **Professional Growth:** Opportunities for professional growth and development through continuous learning and exposure to cutting-edge technologies.

- **Competitive Package:** Competitive salary and benefits package

- **Impactful Work:** The chance to work on cutting-edge projects with industry-leading clients, making a tangible impact on their business success.

**_Apply now!_**

_Due to the high volume of applicants, only shortlisted candidates will be contacted. We apologize for this inconvenience!_

_This position is no longer accepting applications._