Lead AI Forward Deployed Engineer,
Salesforce2 days ago
Dubai, United Arab EmiratesStaff+
Responsibilities
- Own the end-to-end architecture, development, deployment, and production handoff of agentic AI solutions for strategic customers.
- Design Agentforce systems involving agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and enterprise integration patterns.
- Manage data modeling, processing pipelines, and data readiness across Salesforce Data 360, Snowflake, Databricks, and customer platforms.
- Resolve complex data integration, model deployment, orchestration, and performance issues.
- Build agent performance dashboards and customer KPI reporting for deployment health and business outcomes.
- Develop proofs of concept, MVPs, reusable assets, internal frameworks, and deployment playbooks.
- Mentor engineers through code reviews, pair sessions, and shared implementation work.
- Provide technical leadership on strategically critical or at-risk deployments.
- Partner with Deployment Strategists and customer stakeholders to translate business challenges into deployable agentic solutions.
- Share field insights and technical edge cases with Product and Engineering to influence the Agentforce roadmap.
Requirements
- 6+ years of software engineering or technical delivery experience with end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
- Bachelor’s degree in Computer Science or a related field.
- Expertise in at least one of Python, JavaScript/TypeScript, Java, or Apex, with working familiarity in the others.
- Production experience integrating LLMs, using frameworks such as LangChain or LlamaIndex, and applying prompt engineering and responsible AI practices.
- Deep experience in data modeling, processing, and analytics, including Salesforce Data 360, Snowflake, or Databricks.
- Deep Salesforce platform expertise, including Agentforce, Apex, LWC, Flows, and Salesforce APIs.
- Experience mentoring technical talent and creating reusable frameworks, playbooks, or internal tooling.
- Clear communication with engineering peers, customer architects, and executive stakeholders.
- Business-level proficiency in Arabic and English.
- Willingness to travel approximately 25% of the time and work embedded with customer engineers.
- Preferred qualifications include Salesforce certifications, familiarity with DevOps/CI-CD, observability tooling, or data governance, multi-cloud enterprise AI architecture experience, product-roadmap influence, open-source contributions, technical writing, or conference presentations.
Benefits
- Salesforce offers benefits and resources intended to support balance and employee wellbeing.
- The role involves approximately 25% travel and customer-embedded work.
- Salesforce provides reasonable accommodations during the application and recruiting process.
Tech Stack
Categories
Forward Deployed
About Salesforce
Salesforce builds cloud-based customer relationship management software and a broader Customer 360 platform for sales, service, marketing, commerce, and analytics, sold by subscription to businesses and public-sector organizations. Founded in 1999 and headquartered in San Francisco, it trades on the NYSE under the symbol CRM. Its portfolio includes Sales Cloud, Service Cloud, Marketing Cloud, MuleSoft integration, Tableau analytics, and Slack for collaboration, with extensive developer tools and APIs.