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Salesforce

Builds cloud software for customer relationships

Lead AI Agent Technical Builder/ Forward Deployed Engineer - Arabic Speaking

AI Application EngineeringUpdated on Nov 6
Full-timeDubai - United Arab EmiratesNo salary listed

About the Job

Requirements

  • At least 6 years of software engineering or technical delivery experience, including proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
  • A degree in Computer Science or a related field.
  • Expertise in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversance in the others.
  • Experience integrating large language models into production, using frameworks such as LangChain or LlamaIndex, and applying prompt engineering and responsible AI practices in customer contexts.
  • Deep experience in data modeling, processing, and analytics, with proficiency across platforms such as Salesforce Data 360, Snowflake, or Databricks.
  • Deep Salesforce platform expertise, including Agentforce, Apex, Lightning Web Components, Flows, and Salesforce APIs.
  • Experience mentoring technical talent and creating reusable assets such as frameworks, playbooks, or internal tooling.
  • Ability to communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders.
  • Ability to travel to customer sites as needed to ensure client success.

Responsibilities

  • Own end-to-end build and deployment of agentic AI solutions for strategic Salesforce customers, from architecture decisions through production handoff.
  • Design and ship agentic systems on the Agentforce platform, including agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and enterprise integration patterns.
  • Own the data lifecycle, including model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms.
  • Resolve technical blockers involving data integration failures, model deployment issues, orchestration breakdowns, and performance regressions.
  • Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes.
  • Develop proofs of concept and minimum viable products quickly, judging which decisions can be deferred and which must be correct from the outset.
  • Codify learnings from customer work into patterns, reusable assets, and internal frameworks that support organizational playbooks.
  • Mentor other engineers through code reviews, pair sessions, and shared work in the codebases being built.
  • Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed.
  • Surface field insights, gaps, and edge cases to Product and Engineering to inform the Agentforce roadmap.
  • Partner with the Deployment Strategist to translate complex customer business challenges into agentic solutions that ship.

Desired Qualifications

  • Business-level proficiency in Arabic and English.
  • Salesforce certifications such as Administrator, Platform Developer I or II, Agentforce Specialist, or System Architect.
  • Familiarity with DevOps and continuous integration/continuous delivery practices, observability tooling, or data governance frameworks.
  • Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers.
  • Track record of influencing enterprise software product roadmaps through field engineering insight.
  • Open-source contributions, published technical writing, or conference presentations.

About the Company

Salesforce

Builds cloud software for customer relationships

Salesforce sells cloud software that helps businesses manage sales leads, customer service, marketing, and online commerce from shared customer records. Its flagship Sales Cloud tracks accounts and deals, while Service Cloud organizes support cases and Agentforce builds AI assistants that act on company data. Teams access these tools through a browser and connect outside apps and data sources, with Slack for work messages and Tableau for visual analysis. Salesforce earns most of its revenue from software subscriptions and support, with professional services for implementation and training. Marc Benioff co-founded Salesforce in 1999, and its headquarters are in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1999

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