Forward Deployed Engineer, Arabic Speaking

Salesforce, Inc; United Arab Emirates; On-site; AED 367,242 - 477,414; Full time

Job summary

Salesforce, Inc is looking for a Senior Builder Experience to take technical ownership in deploying agentic AI solutions for strategic customers. This role demands strong expertise in programming, deep knowledge of the Salesforce platform, and the ability to resolve complex technical issues.

The successful candidate must have over 6 years of experience in tech delivery and a proven record in scalable production systems. Knowledge of AI tools and strong communication skills are key for this position. This role requires travel to customer sites.

Qualifications

• 6+ years of software engineering or technical delivery experience with proven ownership of scalable systems.
• Expertise in at least one programming language such as Python, JavaScript/TypeScript, Java, or Apex.
• Business-level proficiency in Arabic and English.

Responsibilities

• Own the build and deployment of agentic AI solutions for Salesforce’s strategic customers.
• Design and ship agent logic, tool calls, and integration patterns.
• Mentor engineers through code reviews and shared work.

Skills

Software engineering

Technical delivery

Python

JavaScript/TypeScript

Data modeling

Salesforce platform expertise

AI tools experimentation

Clear communication

Education

Degree in Computer Science or a related field

Tools

Salesforce Data 360

Snowflake

Databricks

LangChain

LlamaIndex

Job description

Senior Builder Experience

• Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You are the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether generated by AI tools or written directly.
• AI‑Supported Engineering: Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders reference your work.
• Roadmap Influence: Your field experience routes directly to Product and Engineering. Gaps and edge cases encountered in real customer environments become features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AI product evolution.
• Continuous Innovation: Continuously pilot emerging AI tools, experiment with new models and frameworks, and share insights with your team and customers.

What You’ll Build

• End‑to‑End Deployment: Own the build and deployment of agentic AI solutions for Salesforce’s strategic customers—from architecture decisions through production handoff.
• Agentic System Design: Design and ship agent logic, tool calls, multi‑agent orchestration, deterministic guardrails, and integration patterns that hold up in enterprise environments.
• Data Lifecycle Management: Own data lifecycle—including model design, processing pipelines, and data readiness for AI across Salesforce Data 360, Snowflake, Databricks, and customer platforms.
• Technical Problem Solving: Resolve blockers that other engineers cannot—data integration failures, model deployment issues, orchestration breakdowns, performance regressions.
• Performance Dashboards: Build dashboards and KPI reporting to track deployment health and business outcomes.
• Rapid Prototyping: Develop proofs‑of‑concept and MVPs quickly, judiciously choosing what to defer and what must be right the first time.
• Knowledge Sharing: Codify patterns, reusable assets, and internal frameworks that become orchestral playbooks.
• Mentorship: Mentor engineers through code reviews, pair sessions, and shared work.
• Technical Depth: Provide depth on at‑risk or strategically critical deployments when senior engineering judgment is needed.
• Field Insight: Surface insights directly to Product and Engineering, feeding the Agentforce roadmap.
• Partnering with Strategists: Collaborate with the Deployment Strategist to translate complex business challenges into ship‑ready agentic solutions.

Qualifications

• 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; conversant in others.
• Integrated LLMs into production, used frameworks such as LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.
• Deep experience in data modeling, processing, and analytics; proficiency with 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, with judgment to know when speed is inappropriate.
• Mentored technical talent and created reusable assets—frameworks, playbooks, internal tooling.
• Clear communication with engineering peers, customer architects, and executive stakeholders.
• Actively tinker with the evolving AI/data landscape—piloting new tools, experimenting with models.
• Willing and able to travel ~25% of the time to embedded customer sites.
• 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.

Accommodations

If you require a reasonable accommodation during the application or recruiting process, please submit a request.

Posting Statement

Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. Any employee or potential employee will be assessed on the basis of merit, competence, and qualifications—without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran, marital status, political viewpoint, or other classifications protected by law. This policy applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.