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パートナー フォワード デプロイド エンジニア、生成 AI、Google Cloud（日本語、英語）
Google · Tokyo, Japan · Posted Oct 5, 2026
- AI in title
- Forward deployed
- LangChain / LangGraph
- Large Language Models (LLMs)
- Retrieval-augmented generation (RAG)
Gemini Enterprise for Customer Experience カスタマー エンジニア、Google Cloud（日本語、英語)
Google · Tokyo, Japan · Posted Oct 5, 2026
- Large Language Models (LLMs)
- Retrieval-augmented generation (RAG)
フォワード デプロイド エンジニア、生成 AI、Google Cloud（日本語、英語）
Google · Tokyo, Japan · Posted Oct 5, 2026
- AI in title
- LangChain / LangGraph
- Large Language Models (LLMs)
- Model Context Protocol (MCP)
- Retrieval-augmented generation (RAG)
Forward Deployed Engineer, Generative AI, Google Cloud (Japanese, English)
Google · Tokyo, Japan · Posted Oct 5, 2026
- AI in title
- AI agents / agentic AI
- Fine-tuning
- Forward deployed
- Generative AI
- LangChain / LangGraph
- Large Language Models (LLMs)
- Machine learning
- Model Context Protocol (MCP)
- Prompt engineering
- Retrieval-augmented generation (RAG)
Partner Forward Deployed Engineer, Generative AI, Google Cloud (Japanese, English)
Google · Tokyo, Japan · Posted Oct 5, 2026
- AI in title
- AI agents / agentic AI
- Forward deployed
- Generative AI
- LangChain / LangGraph
- Large Language Models (LLMs)
- Retrieval-augmented generation (RAG)
- Vector databases / embeddings
Gemini Enterprise for Customer Experience Customer Engineer, Google Cloud (Japanese, English)
Google · Tokyo, Japan · Posted Oct 5, 2026
- Large Language Models (LLMs)
- Machine learning
- Retrieval-augmented generation (RAG)
Copilot Strategic Solution Engineer (Enterprise)
Microsoft · Japan, Tokyo-to, Tokyo · Posted Oct 5, 2026
- AI agents / agentic AI
- Large Language Models (LLMs)
- Retrieval-augmented generation (RAG)
Applied AI Engineer
Bjak · Tokyo, Japan · Remote · Posted Oct 1, 2026
- AI in title
- AI agents / agentic AI
- AI-native / AI-first
- Large Language Models (LLMs)
- Retrieval-augmented generation (RAG)
Applied AI Engineer - AI Finance Agent
Bjak · Tokyo, Japan · Remote · Posted Oct 1, 2026
- AI in title
- AI automation / workflow automation
- AI-native / AI-first
- Large Language Models (LLMs)
- Retrieval-augmented generation (RAG)
Regional Sales Engineer - AI Security (AI Detection Response)
CrowdStrike · Japan - Tokyo · Posted Sep 25, 2026
- AI in title
- AI agents / agentic AI
- Large Language Models (LLMs)
- Model Context Protocol (MCP)
- Retrieval-augmented generation (RAG)
Specialist Sales, AI Security (AI Detection Response)
CrowdStrike · Japan - Tokyo · Posted Sep 25, 2026
- AI in title
- AI agents / agentic AI
- Generative AI
- Model Context Protocol (MCP)
- Retrieval-augmented generation (RAG)
【AstraZeneca】【CET】Agentic AI Lead,Cutomer Experience & IT
AstraZeneca · Japan - Osaka | Japan - Tokyo · Posted Sep 17, 2026
- AI in title
- AI agents / agentic AI
- Amazon Bedrock
- Azure OpenAI / Azure AI
- ChatGPT / OpenAI
- Claude / Anthropic
- Claude Code
- Fine-tuning
- Generative AI
- Knowledge graphs
- LangChain / LangGraph
- Large Language Models (LLMs)
- Model Context Protocol (MCP)
- Retrieval-augmented generation (RAG)
- Snowflake
- Vector databases / embeddings
Partner Development Manager - Japan
Cohere · Tokyo · Remote · Posted Sep 16, 2026
- AI agents / agentic AI
- AI governance / responsible AI
- Generative AI
- Large Language Models (LLMs)
- Retrieval-augmented generation (RAG)
Forward Deployed Engineer（フォワードデプロイドエンジニア） ／ ソリューションエンジニア・カスタマーエンジニア
Telnyx · Japan · Posted Sep 11, 2026
- AI in title
- ChatGPT / OpenAI
- Forward deployed
- Large Language Models (LLMs)
- Retrieval-augmented generation (RAG)
AI Data Specialist - Tokyo
Scopely · JP - Tokyo, Japan · Posted Aug 25, 2026
- AI in title
- AI agents / agentic AI
- AI governance / responsible AI
- AI-native / AI-first
- Evals / model evaluation
- Human-in-the-loop
- Large Language Models (LLMs)
- Machine learning
- Model Context Protocol (MCP)
- Retrieval-augmented generation (RAG)
- Snowflake
Research Scientist (Generative & Agentic AI) - Tokyo,Japan.
Appier · Tokyo, Japan · Posted Aug 13, 2026
- AI in title
- AI agents / agentic AI
- AI-native / AI-first
- Fine-tuning
- Large Language Models (LLMs)
- Multimodal AI
- Retrieval-augmented generation (RAG)
SE Architect (API / AI)
Box · Tokyo, Japan · Posted Aug 7, 2026
- AI in title
- Retrieval-augmented generation (RAG)
Deployment Strategist (Multiple Levels)
Salesforce · Japan - Tokyo · Posted Aug 5, 2026
- AI agents / agentic AI
- AI governance / responsible AI
- Claude / Anthropic
- Cursor
- Evals / model evaluation
- Forward deployed
- Large Language Models (LLMs)
- NLP
- Retrieval-augmented generation (RAG)
Senior AI Engineer - FDE (Forward Deployed Engineer)
Databricks · Tokyo, Japan · Posted Aug 3, 2026
- AI in title
- Fine-tuning
- Forward deployed
- Generative AI
- Hugging Face
- LangChain / LangGraph
- MLOps / LLMOps
- Machine learning
- Retrieval-augmented generation (RAG)
Principal AI Security Specialist
Zscaler · Tokyo, JPN · Posted Jul 21, 2026
- AI in title
- AI risk management
- Generative AI
- Large Language Models (LLMs)
- Model Context Protocol (MCP)
- Retrieval-augmented generation (RAG)
Senior Technical Consultant
Box · Japan · Posted Jul 15, 2026
- AI agents / agentic AI
- ChatGPT / OpenAI
- Claude / Anthropic
- Claude Code
- Databricks
- Retrieval-augmented generation (RAG)
Enablement Lead (Builder) - Tokyo
OpenAI · Tokyo, Japan · Posted Jun 25, 2026
- Fine-tuning
- Retrieval-augmented generation (RAG)
Forward Deployed Engineer
Notion · Tokyo, Japan · Posted Jun 11, 2026
- AI in title
- AI agents / agentic AI
- Forward deployed
- Large Language Models (LLMs)
- Model Context Protocol (MCP)
- Prompt engineering
- Retrieval-augmented generation (RAG)
AIコンサルタント
Mujin · Tokyo, Japan (MJPN) · Posted May 7, 2026
- Retrieval-augmented generation (RAG)
Forward Deployed Engineer - Applied AI
DevRev · Tokyo,Japan · Posted Mar 31, 2026
- AI in title
- AI agents / agentic AI
- Evals / model evaluation
- Fine-tuning
- Forward deployed
- Generative AI
- Knowledge graphs
- Large Language Models (LLMs)
- Model Context Protocol (MCP)
- Prompt engineering
- Retrieval-augmented generation (RAG)
At a glance
435,052 listings with 608,469 openings in this snapshot, updated Oct 21, 2026. 414,161 distinct roles (a role posted in several countries counts once).
Also listed: 1,020 freelance AI training gigs (rating, tutoring and annotation work). They are not counted in these numbers. Use the Freelance AI training gigs filter to see them.
4.1%
of listings have AI in the job title (17,778)
15%
of listings mention an AI skill or tool (64,041)
13%
of listings say the job is remote (55,797)
Listings by region
North America234,284Latin America13,603Europe53,711Middle East & Africa6,689Asia Pacific50,184Region not stated in 76,581 listings.
Top countries by listings
United States222,932India17,937United Kingdom15,990Canada9,773Germany6,798Singapore5,386China4,598Brazil4,316Mexico3,992Japan3,983Top AI skills in listings
AI agents / agentic AI18,540Large Language Models (LLMs)15,917Machine learning13,745Generative AI10,124AI-native / AI-first8,334AI automation / workflow automation6,195Vector databases / embeddings5,776Retrieval-augmented generation (RAG)4,968Evals / model evaluation4,324AI governance / responsible AI4,066Getting ready for these jobs?
Many of these postings ask for everyday AI skills. Join a free live session with Mike Wheeler to see what employers are asking for, or browse the current live classes at Velza Academy.
Browse jobs by topic
AI skills and tools
- AI agents / agentic AI
- Large Language Models (LLMs)
- Machine learning
- Generative AI
- Claude / Anthropic
- AI-native / AI-first
- AI automation / workflow automation
- Vector databases / embeddings
- Microsoft Copilot
- ChatGPT / OpenAI
- Retrieval-augmented generation (RAG)
- Databricks
- Snowflake
- Evals / model evaluation
- AI governance / responsible AI
- Deep learning
- Claude Code
- Prompt engineering
- Model Context Protocol (MCP)
- Forward deployed
- NLP
- Fine-tuning
- MLOps / LLMOps
- AI literacy / AI fluency
- Human-in-the-loop
- Cursor
- LangChain / LangGraph
- Computer vision
- Multimodal AI
- Gemini
- GitHub Copilot
- Amazon Bedrock
- n8n / Zapier / Make
- Azure OpenAI / Azure AI
- Knowledge graphs
- Hugging Face
- AI risk management
- Vertex AI
- Context engineering
- LlamaIndex
- AI safety
- Salesforce Data Cloud
- Agentforce
- Einstein
- Small language models
- ServiceNow Now Assist
Regions and remote
Countries with the most listings
Data for AI tools and agents: how to use the Velza jobs data.
How this list works: we read the public job boards that employers publish on Greenhouse, Lever, Ashby, SmartRecruiters and Workday, plus Google's and Microsoft's own career sites. Locations, regions and remote status come from what each posting says, and some postings do not say. AI skill labels are matched from each posting's text. Workplace skills (such as communication, collaboration and problem solving), workplace tools (Microsoft Office, Excel, Microsoft Word, PowerPoint) and certifications are also matched from each posting's text and are counted separately, so they never change the AI numbers. They are the same counts as the Velza AI Jobs Report. Velza is not the employer and does not take applications. Always confirm details on the employer's site.