Salesforce

Forward Deployed Engineer

Salesforce

Auckland, New Zealand · Full Time

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Experience
3+ yrs
Salary
Openings
1
Posted
6 দিন আগে
Work mode
In office
Education
Bachelor's degree in Computer Science or related field
Resume
Required to apply

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Job description

About Salesforce

Salesforce is the leading AI-powered CRM platform that combines human expertise with innovative technology to drive successful customer outcomes. Focused on AI, data, and CRM, we empower enterprises across industries to revolutionize business and customer engagement while upholding core values centered on innovation and trust.

Role Overview

We are seeking experienced Forward Deployed Engineers to join our delivery teams. These Technical Builders design, construct, and deploy agentic AI solutions directly within enterprise client environments, working collaboratively with Deployment Strategists to implement solutions that operate in live production from day one. The projects vary from serving a single strategic client to multiple accounts concurrently. The role requires hands-on coding, configuration, customization, and full-stack deployment of AI-powered systems that drive measurable business impact.

Key Responsibilities

  • Develop AI agents and systems that perform real actions within large enterprise organizations.
  • Design agent intelligence including prompts, reasoning mechanisms, tool interactions, and integration with client systems using Agentic AI platforms and current LLM techniques.
  • Own technical components end-to-end—from architectural decisions through deployment, validation, and production monitoring.
  • Build and maintain data pipelines using Salesforce Data 360, Snowflake, Databricks, and other customer data platforms; model, implement, and verify data outputs.
  • Create agent performance dashboards and reporting tools to track deployment status and key business outcomes.
  • Contribute to rapid proofs-of-concept and minimal viable products moving concepts to deployable solutions in days.
  • Collaborate closely with customers and partners to co-build solutions, share best practices, and enable customer teams to become more self-sufficient.
  • Provide real-world insights and feedback to engineering and product teams, highlighting platform gaps and edge cases.
  • Partner with Deployment Strategists to translate customer business challenges into actionable and deployable AI-driven solutions.

Qualifications and Requirements

  • At least 3 years of experience in software engineering or technical delivery roles, with demonstrated ownership of production systems; experience in AI tech stacks or full-stack development preferred.
  • A bachelor’s degree in Computer Science or relevant technical field.
  • Proven customer-facing technical delivery experience such as consulting, professional services, or forward deployed engineering is mandatory.
  • Proficiency in at least one programming language such as Python, JavaScript/TypeScript, Java, or Apex, with willingness to learn additional languages as needed.
  • Hands-on experience with large language models (LLMs) and prompt engineering, able to diagnose and improve prompt failures.
  • Strong knowledge of data modeling, API design, and system integration patterns beyond consumption to design level.
  • Confidence in engaging with sales teams and customer architects in technical discussions.
  • Commitment to producing high-quality code and rigorous evaluation of AI-generated outputs.
  • Curiosity and active experimentation with evolving AI tools, models, and frameworks.
  • Collaborative mindset and enthusiasm for active participation in development communities.
  • Willingness to travel approximately 25% of the time to work directly with customers.

Preferred Skills

  • Experience with Salesforce platform and relevant certifications such as Administrator, Platform Developer I, or Agentforce Specialist.
  • Familiarity with agent frameworks like LangChain or LlamaIndex and orchestration patterns.
  • Hands-on experience with cloud data platforms including Snowflake, Databricks, or BigQuery.
  • Expertise in specialized AI delivery areas such as data engineering, platform architecture, or headless deployments.

Company Culture and Diversity

Salesforce is recognized as an exceptional employer that invests deeply in employee growth, inclusion, and wellbeing. We uphold a strong commitment to diversity, equality, and providing reasonable accommodations throughout the hiring process and employment. We value voices from all backgrounds, including Aboriginal and Torres Strait Islander peoples, and integrate respect for First Nations in our approach.

Additional Information

Applicants should limit their applications to no more than three roles within twelve months to avoid duplicated effort. Salesforce leverages AI tools in recruiting for resume screening while final hiring decisions remain with human recruiters. We ensure fair hiring practices free from discrimination based on legally protected characteristics.

Reasonable accommodations are available upon request to support candidates throughout application and employment phases.

Minimum education

Bachelor's Degree

Tools & software

How they work

Communication Teamwork & Collaboration Customer Focus Learning Agility

Languages

English

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