AI Transformation Engineer (Forward-Deployed)

BYTEDANCE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ByteDance's BytePlus Team is seeking an AI consultant to help enterprise clients transform their business using AI, leveraging cutting-edge technologies to shape future products and solutions. You will design transformation roadmaps, demonstrate solutions in the client environment, and document outcomes for scalable adoption.

Ideal candidates have a strong engineering background, hands-on cloud and Kubernetes experience, and expertise in AI models, prompts, and observability to deliver impactful

Qualifications

• Engineering background and hands-on experience in application development.
• Hands-on with public cloud products and cloud architectures (compute, storage, network, Kubernetes, databases, security).
• Experience deploying landing zones and setting up CI/CD pipelines.
• Familiar with large language models and content generation models and their use cases.
• Experience building AI agents, including prompt optimization and observability.

Responsibilities

• Collaborate with key accounts as AI consultant to explore opportunities in AI transformation.
• Develop a customer AI transformation roadmap considering value proposition, feasibility, and integration with existing systems.
• Construct a demonstration for the proposed solution within the customer's context and environment.
• Generate documentation for solutions, value propositions, architecture, and feedback.
• Identify customer requirements and build prototypes for industry AI portfolios.

Skills

AI coding tools

Public cloud usage

CI/CD pipelines

LLMs & content generation

AI agents building

Education

Engineering background

Tools

CI/CD pipelines

Kubernetes

Job description

ByteDance's BytePlus Team is seeking an AI consultant to help enterprise clients transform their business using AI, leveraging cutting-edge technologies to shape future products and solutions. You will design transformation roadmaps, demonstrate solutions in the client environment, and document outcomes for scalable adoption.

Ideal candidates have a strong engineering background, hands-on cloud and Kubernetes experience, and expertise in AI models, prompts, and observability to deliver impactful