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Salesforce

Builds cloud software for customer relationships

Lead AI Forward Deployed Engineer

AI Application EngineeringPosted on Nov 10
Full-timeDubai - United Arab EmiratesNo salary listed

About the Job

Requirements

  • At least 6 years of software engineering or technical delivery experience, including 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 working familiarity with 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.
  • Experience in data modeling, processing, and analytics, with proficiency in 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 frameworks, playbooks, or internal tools.
  • Business-level proficiency in Arabic and English.
  • Willingness to travel approximately 25% of the time and work alongside customer engineers.

Responsibilities

  • Own the 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, deterministic guardrails, and enterprise integration patterns.
  • Own data lifecycle work, including model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms.
  • Resolve technical blockers such as 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, applying judgment about which decisions can be deferred and which must be correct from the outset.
  • Document and codify customer-work patterns into reusable assets and internal frameworks that can serve as organizational playbooks.
  • Mentor 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, gaps, and edge cases to Product and Engineering to inform the Agentforce roadmap.
  • Partner with the Deployment Strategist to translate customer business challenges into agentic solutions that ship.

Desired Qualifications

  • Salesforce certifications such as Administrator, Platform Developer I or II, Agentforce Specialist, or System Architect.
  • Familiarity with DevOps and CI/CD practices, observability tools, or data governance frameworks.
  • Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers.
  • A 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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