Forward Deployed Engineer, Arabic Speaking

Salesforce
Dubai
Workplace: HybridFull timeFunction: Software EngineeringExperience: 6+ yearsEducation: bachelorsSkills: ["Technical ownership","Mentoring","Communication","Problem-solving","Continuous learning"]

Build and deploy agentic AI solutions inside enterprise customer environments, owning technical outcomes from architecture decisions through production handoff. Collaborate with a Deployment Strategist to translate customer challenges into shippable Agentforce systems, including agent logic, tool calls, orchestration, and deterministic guardrails. Own the data lifecycle across Salesforce Data 360, Snowflake, and Databricks, resolve hard integration/model deployment blockers, mentor engineers, and influence the Agentforce product roadmap from real field learnings.

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FursaFursa
Salesforce
Salesforce
2 months ago

Forward Deployed Engineer, Arabic Speaking

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Build and deploy agentic AI solutions inside enterprise customer environments, owning technical outcomes from architecture decisions through production handoff. Collaborate with a Deployment Strategist to translate customer challenges into shippable Agentforce systems, including agent logic, tool calls, orchestration, and deterministic guardrails. Own the data lifecycle across Salesforce Data 360, Snowflake, and Databricks, resolve hard integration/model deployment blockers, mentor engineers, and influence the Agentforce product roadmap from real field learnings.
Location: Dubai
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Own end-to-end build and deployment of agentic AI solutions for strategic enterprise customers, from architecture to production handoff.
  • •Design and ship agentic systems on the Agentforce platform, including agent logic, tool calls, multi-agent orchestration, and deterministic guardrails.
  • •Own the data lifecycle for AI applications, including model design, processing pipelines, and data readiness across Salesforce Data 360, Snowflake, and Databricks.
  • •Resolve technical blockers such as data integration failures, model deployment issues, orchestration breakdowns, and performance regressions.
  • •Mentor engineers through code reviews and pair sessions, and set engineering standards for deploying agentic AI at scale.
Travel: Medium travel

Key Requirements

  • •6+ years of software engineering or technical delivery experience with end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
  • •Expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
  • •Integrated LLMs into production using frameworks like LangChain or LlamaIndex, with prompt engineering and responsible AI practices.
  • •Deep experience in data modeling, processing, and analytics across platforms like Salesforce Data 360, Snowflake, or Databricks.
  • •Deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
Experience:6+ yearsEnterprise AICloudSaaS
Education:Bachelor's in Computer Science
Skills:Technical ownershipMentoringCommunicationProblem-solvingContinuous learning
Certifications:AdministratorPlatform Developer IPlatform Developer IIAgentforce SpecialistSystem Architect
Languages:ArabicEnglish
Tech Stack:AgentforceSalesforceApexLWCFlowsSalesforce APIsPythonJavaScriptTypeScriptJavaCursorClaudeVibesLLMsLangChainLlamaIndexSnowflakeDatabricksSalesforce Data 360

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