AI Engineer - Forward Deployed Engineer

Salesforce
Santiago
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Builder mindset","Engineering rigor","Collaborative delivery","Customer-facing communication","Continuous learning"]

Design, build, and deploy agentic AI solutions inside enterprise customer environments as part of a delivery team. Co-build production-ready components with a Deployment Strategist, spanning configuration, customization, and full-stack deployment. Develop AI agents and integrations, build data pipelines on Salesforce Data 360/Snowflake/Databricks, and ship performance dashboards and KPI reporting. Stay on the frontier with evolving tools, models, and frameworks while traveling to work alongside customers.

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FursaFursa
Salesforce
Salesforce
2 months ago

AI Engineer - Forward Deployed Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Design, build, and deploy agentic AI solutions inside enterprise customer environments as part of a delivery team. Co-build production-ready components with a Deployment Strategist, spanning configuration, customization, and full-stack deployment. Develop AI agents and integrations, build data pipelines on Salesforce Data 360/Snowflake/Databricks, and ship performance dashboards and KPI reporting. Stay on the frontier with evolving tools, models, and frameworks while traveling to work alongside customers.
Location: Santiago
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and deploy agentic AI solutions that go live in production from day one.
  • •Develop AI agents and integrations using prompts, reasoning, tool calls, and LLM techniques.
  • •Own components end-to-end from architecture choice through validation and observability in production.
  • •Build and integrate data pipelines and model/validate outputs across Salesforce Data 360 and customer data platforms.
  • •Create performance dashboards and customer KPI reporting to track deployment health and business outcomes.
Travel: Medium travel

Key Requirements

  • •3+ years of software engineering or technical delivery experience with at least one production system.
  • •Degree in Computer Science or related field.
  • •Prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering).
  • •Fluency in at least one of Python, JavaScript/TypeScript, Java, or Apex; willing to expand as needed.
  • •Hands-on experience with LLMs and prompt engineering; able to explain prompt failures and improvements.
Experience:3+ years
Education:Bachelor's
Skills:Builder mindsetEngineering rigorCollaborative deliveryCustomer-facing communicationContinuous learning
Certifications:AdministratorPlatform Developer IAgentforce Specialist
Tech Stack:AgentforceAgentic AI platformCursorClaudeVibesPythonJavaScriptTypeScriptJavaApexLLMsPrompt engineeringSalesforce Data 360SnowflakeDatabricksBigQueryLangChainLlamaIndexAPIsData pipelines

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
Glassdoor
Glassdoor: 4.1
WebsiteLinkedInGlassdoor