Lead Forward Deployed Engineer, Salesforce

Engineer
United Arab Emirates, Dubai
October 19, 2026
Full Time

Apply for this job

Email *
Executive Name *

Job Description

Salesforce is hiring a Lead Forward Deployed Engineer to design, build, and deploy enterprise agentic AI solutions. The role involves leading technical delivery, creating scalable AI systems, dealing with integration of data, solving technical problems, and mentoring engineers. This position also includes working with customer strategists, product developers, and enterprise members in order to create effective AI solutions.

Qualification: Bachelor’s Degree in Computer Science or a related field. 

Job Type: Full-time

Apply: Click Here

Responsibilities

  • Manage the design and implementation of Agentic AI solutions from start to finish in partnership with enterprise customers.
  • Design AI Agents, multi-agent orchestrations, integrations, and protections using the Agentforce platform.
  • Help with the modelling, processing, and analytics of data on Salesforce Data 360, Snowflake, and Databricks platforms.
  • Debug complicated problems due to data integrations, model deployment, orchestration, and performance.
  • Provide engineering guidance and design architecture for better AI solutions.

Requirements

  • Six years’ experience in software engineering or technical delivery within the domain of enterprise AI, cloud, or SaaS technologies.
  • Have an educational background in computer science or related fields.
  • Should have hands-on experience in Python, JavaScript, TypeScript, Java, and Apex and be aware of various other programming languages.
  • Be experienced with production integration of large language models via LangChain or LlamaIndex.
  • Be experienced in the Salesforce platform, be a good communicator, have business-level fluency in Arabic and English, and be willing to travel to client locations.

Preferred Qualifications

  • Salesforce certificates like Administrator, Platform Developer I/II, Agentforce Specialist, and System Architect are preferred.
  • DevOps knowledge, CI/CD practices, observability skills, and data governance are essential.
  • Multi-agent systems and enterprise AI architecture experience are assets.
  • Mentoring engineers and framework/internal tool development experience is essential.
  • Good collaboration skills are essential for converting customers’ problems into AI solutions.

Related Jobs