Senior/Principal Forward Deployed Engineer

Salesforce
Sydney, Auckland
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsEducation: bachelorsSkills: ["Architectural judgment","Mentorship","Clear communication","Get-things-done mindset","Innovation mindset"]

Lead technical delivery for complex agentic AI solutions deployed inside enterprise customer environments. Partner with a Deployment Strategist to own outcomes end-to-end—from architecture decisions to production handoff—while setting engineering standards and mentoring engineers. Design and ship agent logic, tool calls, multi-agent orchestration, guardrails, and KPI dashboards. Tackle difficult integration and deployment blockers using Salesforce and AI/data platforms, and translate field insights into the Agentforce roadmap.

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FursaFursa
Salesforce
Salesforce
1 month ago

Senior/Principal Forward Deployed Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Lead technical delivery for complex agentic AI solutions deployed inside enterprise customer environments. Partner with a Deployment Strategist to own outcomes end-to-end—from architecture decisions to production handoff—while setting engineering standards and mentoring engineers. Design and ship agent logic, tool calls, multi-agent orchestration, guardrails, and KPI dashboards. Tackle difficult integration and deployment blockers using Salesforce and AI/data platforms, and translate field insights into the Agentforce roadmap.
Location: Sydney, Auckland
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own customer outcomes end-to-end with a Deployment Strategist, serving as the senior technical authority and ensuring high engineering standards.
  • •Design and ship agentic systems on the Agentforce platform, including agent logic, tool calls, multi-agent orchestration, guardrails, and enterprise integration patterns.
  • •Own the data lifecycle for AI applications, including model design, processing pipelines, and data readiness across Salesforce Data 360, Snowflake, Databricks, and customer platforms.
  • •Resolve hard technical blockers such as data integration failures, model deployment issues, orchestration breakdowns, and performance regressions.
  • •Mentor other engineers through code reviews and pair sessions, codifying reusable patterns and playbooks from real customer work.
Travel: Medium travel

Key Requirements

  • •6+ years of software engineering or technical delivery experience with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
  • •Degree in Computer Science or a related field.
  • •Expertise in at least one of Python, JavaScript/TypeScript, Java, or Apex, and working across the others.
  • •Integrated LLMs into production and used frameworks like LangChain or LlamaIndex, applying prompt engineering and responsible AI practices.
  • •Deep experience in data modeling, processing, and analytics across platforms like Salesforce Data 360, Snowflake, or Databricks.
Experience:6+ yearsEnterprise AICloudSaaSLLMsData analytics
Education:Bachelor's in Computer Science
Skills:Architectural judgmentMentorshipClear communicationGet-things-done mindsetInnovation mindset
Certifications:Salesforce AdministratorPlatform Developer IPlatform Developer IIAgentforce SpecialistSystem Architect
Tech Stack:AgentforceApexLWCFlowsSalesforce APIsPythonJavaScriptTypeScriptJavaLLMsLangChainLlamaIndexSnowflakeDatabricksSalesforce Data 360CursorClaudeVibesDevOpsCI-CD

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