AI Engineer - Forward Deployed Engineer (multiple Levels)

Salesforce Salesforce · Enterprise · Sao Paulo, Brazil

AI Engineer role focused on implementing bespoke AI solutions using the Agentforce platform and other technologies. The role involves end-to-end technical delivery, including designing, developing, and implementing AI solutions, removing technical blockers, building AI agents and automating workflows, data configuration and integration, and rapid prototyping. Requires hands-on experience with AI/LLM technologies, orchestration frameworks, prompt engineering, and data platforms.

What you'd actually do

  1. Drive Tangible Outcomes through Hands-On Implementation: Be responsible for the end-to-end technical delivery of AI solutions, personally writing code, configuring systems, and troubleshooting issues to ensure successful deployment and measurable business impact.
  2. Remove Technical Blockers: Proactively identify and directly resolve complex technical challenges during all phases of solution delivery, from data integration to model deployment and agent orchestration. You'll be the go-to expert for unblocking progress.
  3. Build Transformative AI Solutions: Design, develop, and personally implement high-quality, scalable production systems. A significant part of this will involve leveraging AI and Large Language Models (LLMs) to create intelligent agents and automate workflows, all built on top of the Salesforce platform.
  4. Data Configuration & Integration: Take direct ownership of data from end-to-end. You'll design robust data models, hands-on build efficient processing pipelines, and establish seamless integration strategies to ingest, transform, and analyze complex datasets. Your work will ensure data is always ready and optimized for our AI applications.
  5. Drive Agentforce Innovation: Become an expert in our innovative Agentforce platform. You'll directly push its capabilities to the limit, developing bespoke intelligent agents, automating intricate business processes, and crafting intuitive user experiences that deliver tangible value.

Skills

Required

  • Computer Science or a related engineering discipline background
  • Proficiency in one or more programming languages (e.g., JavaScript, Java, Python, Apex)
  • Proven track record of hands-on, end-to-end delivery of high-quality, scalable production solutions
  • Hands-on experience building solutions with AI/LLM technologies, including integrating LLMs, applying AI orchestration frameworks, and prompt engineering techniques
  • Strong experience in data modeling, processing, integration, and analytics, with demonstrable proficiency in data platforms (e.g., Salesforce Data Cloud, Snowflake, Databricks)
  • Demonstrated entrepreneurship, a "get-things-done" attitude, and a focus on fast delivery
  • Excellent collaboration and communication skills, both written and verbal
  • Ability to travel 25-50% of the time

Nice to have

  • Experience with Salesforce Data Cloud and/or Agentforce platform
  • Direct experience with the Salesforce platform, including configuration, customization, and development
  • Experience developing conversational AI solutions within regulated industries
  • Experience with Apex and/or Python coding languages

What the JD emphasized

  • hands-on
  • end-to-end technical delivery
  • personally writing code
  • directly implementing
  • directly implement
  • hands-on build
  • directly push its capabilities to the limit
  • coding alongside client teams
  • Directly apply engineering best practices
  • Hands-on experience building solutions with AI/LLM technologies
  • Direct experience with the Salesforce platform

Other signals

  • AI CRM
  • Agentforce platform
  • intelligent agents
  • automate workflows
  • LLMs