S

Salesforce

Builds cloud software for customer relationships

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeTokyo, JapanNo salary listed

About the Job

Requirements

  • At least 5 years of hands-on, end-to-end delivery experience for high-quality, scalable production solutions in a professional environment.
  • A strong background in Computer Science or a related engineering discipline.
  • Expert-level proficiency in one or more programming languages, such as JavaScript, Java, Python, or Apex.
  • Hands-on experience building and deploying AI and large language model solutions, including LLM integration, AI orchestration frameworks such as LangChain or LlamaIndex, prompt engineering, and agentic frameworks.
  • Deep expertise in data modeling, processing, integration, and analytics, with proficiency in enterprise data platforms such as Salesforce Data Cloud, Snowflake, Databricks, or BigQuery.
  • Demonstrated entrepreneurship, a focus on fast and impactful delivery, and a proven ability to lead technical initiatives.
  • Ability to explain complex technical concepts to technical and non-technical stakeholders in written and verbal communications and presentations.
  • Proven ability to lead technical engagements, mentor junior team members, and oversee the technical aspects of projects.
  • Ability to travel to customer sites 25–50% of the time as needed.
  • Fluency in Japanese and English, written and verbal.

Responsibilities

  • Drive end-to-end technical delivery of complex AI solutions by writing critical code, configuring systems, troubleshooting issues, and guiding and reviewing junior team members’ work to support successful deployment and measurable business impact.
  • Design, develop, and personally implement high-quality, scalable production systems, including AI and large language model-based intelligent agents and automated workflows on the Salesforce platform.
  • Work directly with customers to design and build custom intelligent agents using Agentforce, meeting unique business requirements and integrating with customer ecosystems.
  • Own the data lifecycle, including data-model design, data-processing pipelines, integration strategies, and data readiness, optimization, and security for AI applications.
  • Identify, analyze, and directly resolve complex technical challenges across solution delivery, including data integration, model deployment, and agent orchestration.
  • Develop bespoke intelligent agents, automate business processes, create user experiences, and provide field insights to inform product enhancements and platform direction; represent customer perspectives in product discussions.
  • Work closely with client teams to understand operational challenges and strategic goals, translate needs into technical requirements and solution designs, act as a technical advisor, and lead technical discussions.
  • Analyze, debug, and identify root causes for complex system interactions, data flows, and AI model behavior to optimize performance, ensure reliability, and prevent recurring issues.
  • Develop proofs of concept and minimum viable products rapidly, often coding alongside client teams, demonstrating capabilities, gathering feedback, and iterating on solutions.
  • Apply and promote engineering best practices for code quality, scalability, security, and maintainability across deployed solutions.

Desired Qualifications

  • Experience developing and deploying conversational AI solutions in highly regulated industries.
  • Expert-level professional experience coding in Apex and/or Python.
  • Previous experience in a customer-facing, hands-on technical lead or architect role.
  • Advanced Salesforce platform certifications, such as Platform Developer II, Application Architect, or System Architect.
  • Deep knowledge of Salesforce CRM, including Service Cloud, Sales Cloud, and Marketing Cloud.
  • Extensive experience with Salesforce Flows and Lightning Web Components, including complex custom development.
  • Experience contributing to open-source AI frameworks or libraries.
  • Salesforce experience is preferred but not required.

About the Company

Salesforce

Builds cloud software for customer relationships

Salesforce sells cloud software that helps businesses manage sales leads, customer service, marketing, and online commerce from shared customer records. Its flagship Sales Cloud tracks accounts and deals, while Service Cloud organizes support cases and Agentforce builds AI assistants that act on company data. Teams access these tools through a browser and connect outside apps and data sources, with Slack for work messages and Tableau for visual analysis. Salesforce earns most of its revenue from software subscriptions and support, with professional services for implementation and training. Marc Benioff co-founded Salesforce in 1999, and its headquarters are in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1999

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