مهندس Forward Deployed، متحدث اللغة العربية (Forward Deployed Engineer, Arabic Speaking)

تبحث Salesforce عن مهندس Forward Deployed متقدم في منطقة الرياض لتصميم وبناء ونشر حلول الذكاء الاصطناعي الوكيل مباشرة في بيئات العملاء الكبار. ستقود التسليم التقني وتوجه المهندسين الآخرين وتضع معايير الهندسة لنشر الذكاء الاصطناعي على نطاق واسع، مع التركيز على ملكية النتائج من البداية إلى الإنتاج.

تفاصيل الوظيفة

  • الشركة: Salesforce
  • المدينة: الرياض (Riyadh)
  • الدولة: السعودية (Saudi Arabia)
  • نوع الدوام: دوام كامل (Full Time)
  • المستوى: متوسط إلى أول (Mid-Senior level)
  • المجال: هندسة الذكاء الاصطناعي (AI/ML Engineering)

الوصف الكامل لهذه الوظيفة ومتطلباتها وإجراءات التقديم عليها باللغة الإنجليزية، وهي معروضة أدناه كما وردت من صاحب العمل دون أي تعديل أو ترجمة.

Job Summary

Salesforce is seeking a Senior Forward Deployed Engineer to design, build, and deploy agentic AI solutions directly within enterprise customer environments. You will lead technical delivery, mentor engineers, and establish engineering standards for AI deployment at scale, partnering closely with a Deployment Strategist to own customer outcomes end-to-end.

Responsibilities

  • Own end-to-end build and deployment of agentic AI solutions for strategic customers, from architecture decisions through production handoff.
  • Design and ship agentic systems on the Agentforce platform, including agent logic, tool calls, multi-agent orchestration, and enterprise integration patterns.
  • Manage the data lifecycle: model design, processing pipelines, and data readiness across Salesforce Data 360, Snowflake, Databricks, and customer platforms.
  • Resolve technical blockers including 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 MVPs with judgment on which decisions can be deferred versus those requiring immediate correctness.
  • Mentor other engineers through code reviews, pair sessions, and shared codebases.
  • Surface field insights directly to Product and Engineering to inform the Agentforce roadmap.

Must haves

  • 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.
  • Expert proficiency in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
  • Production experience integrating LLMs using frameworks like LangChain or LlamaIndex, with applied prompt engineering and responsible AI practices.
  • Deep experience in data modeling, processing, and analytics across Salesforce Data 360, Snowflake, or Databricks.
  • Deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs. Business-level proficiency in Arabic and English. Ability to travel to customer sites as needed.

Nice to haves

  • Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect).
  • Familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks.
  • Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers.
  • Open-source contributions, published technical writing, or conference presentations.

We refresh listings regularly, but some roles close early on the source platform.

Country: السعودية
City: الرياض
Job Category: هندسة الذكاء الاصطناعي
Job Type: دوام كامل
Company Name: Salesforce
Seniority level: متوسط إلى أول

Apply for this position

Allowed Type(s): .pdf, .doc, .docx
Scroll to Top