Lead/ Principal Forward Deployed Engineer

About the Role

What You'll Be Building

• 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, and integration patterns.
• Own the data lifecycle: model design, processing pipelines, and data readiness 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.
• Develop proofs-of-concept and MVPs quickly with judgment on which decisions can be deferred.
• Codify patterns, reusable assets, and internal frameworks into playbooks.
• Mentor other engineers through code reviews, pair sessions, and shared work.
• Provide technical depth on at-risk or strategically critical deployments.
• Surface field insights to Product and Engineering to inform the Agentforce roadmap.
• Partner with the Deployment Strategist to translate customer business challenges into agentic solutions.

Qualifications

• 6+ years of software engineering or technical delivery experience with end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS.
• 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 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.
• Ability to travel to customer sites as needed.
• 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.

Benefits

• Benefits and resources support balance and well-being.
• AI agents accelerate impact so you can do your best work.