Forward Deployed Engineer, Arabic Speaking
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Key skills for this role
About the Role
Salesforce is hiring a Senior Forward Deployed Engineer to design, build, and deploy agentic AI solutions in enterprise customer environments. You will lead technical delivery, mentor engineers, and set engineering standards.
Key Skills for This Role
Responsibilities
- Own end to end build and deployment of agentic AI solutions for Salesforce's most strategic customers
- Design and ship agentic systems on the Agentforce platform: agent logic, tool calls, multi agent orchestration, deterministic guardrails
- Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications
- Resolve technical blockers that other engineers can't — data integration failures, model deployment issues, orchestration breakdowns
- Build and maintain agent performance dashboards and customer KPI reporting
- Develop proofs of concept and MVPs quickly
- Codify learnings into patterns, reusable assets, and internal frameworks
- Mentor other Engineers through code reviews, pair sessions, and shared work
- Provide technical depth on at risk or strategically critical deployments
- Surface field insights directly to Product and Engineering
- Partner with the Deployment Strategist to translate complex customer business challenges into agentic solutions
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
- Expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others
- Experience integrating LLMs into production, using frameworks like LangChain or LlamaIndex, and applying 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
- Entrepreneurial, get things done mindset focused on fast, impactful delivery
- Experience mentoring technical talent and creating reusable assets
- Clear communication with engineering peers, customer architects, and executive stakeholders
- Willingness to travel ~25% of the time
- Business level proficiency in Arabic and English
Full Job Posting
About Salesforce
- Salesforce is the #1 AI CRM, where humans with agents drive customer success together.
- Salesforce is hiring Senior Forward Deployed Engineers — the Technical Builders who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments.
What You'll Actually Be Building
- Own end to end build and deployment of agentic AI solutions for Salesforce's most strategic customers — from architecture decisions through production handoff.
- Design and ship agentic systems on the Agentforce platform: agent logic, tool calls, multi agent orchestration, deterministic guardrails, and integration patterns.
- Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer specific platforms.
- Resolve the technical blockers that other engineers can't — data integration failures, model deployment issues, orchestration breakdowns, 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 quickly, with the judgment to know which decisions can be deferred and which need to be right the first time.
- Codify what you learn. The patterns, reusable assets, and internal frameworks become the playbooks the rest of the org draws from.
- Mentor other Engineers through code reviews, pair sessions, and shared work.
- Provide technical depth on at risk or strategically critical deployments when senior engineering judgment is needed.
- Surface field insights directly to Product and Engineering.
- Partner with the Deployment Strategist on your team to translate complex customer business challenges into agentic solutions that actually ship.
You're Our Senior Forward Deployed Engineer If…
- You have 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.
- You have a degree in Computer Science or a related field.
- You're an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
- You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.
- You have deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks.
- You bring deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
- You have an entrepreneurial, get things done mindset focused on fast, impactful delivery — and the judgment to know when 'fast' is the wrong call.
- You've mentored technical talent and created reusable assets — frameworks, playbooks, internal tooling.
- You communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders.
- You actively tinker with the evolving AI/data landscape — piloting new tools, experimenting with new models, and staying genuinely curious.
- You're excited to travel ~25% of the time, embedded with customer engineers.
- Business level proficiency in Arabic and English.
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.
- Track record of influencing enterprise software product roadmaps through field engineering insight.
- Open source contributions, published technical writing, or conference presentations.
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