Lead Forward Deployed Engineer
Salesforce1 day ago
Riyadh, Saudi ArabiaStaff+
Responsibilities
- Own the architecture, build, deployment, and production handoff of agentic AI solutions for strategic enterprise customers.
- Design Agentforce systems involving agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and enterprise integration patterns.
- Own data modeling, processing pipelines, and data readiness across Salesforce Data 360, Snowflake, Databricks, and customer platforms.
- Resolve data integration failures, model deployment issues, orchestration problems, and performance regressions.
- Build agent performance dashboards and customer KPI reporting to monitor deployment health and business outcomes.
- Develop proofs of concept and MVPs while making appropriate technical tradeoffs for speed and quality.
- Create reusable assets, internal frameworks, playbooks, and implementation patterns based on customer work.
- Mentor engineers through code reviews, pairing, shared implementation, and technical guidance.
- Provide technical leadership for at-risk or strategically critical deployments.
- Partner with Deployment Strategists to translate customer challenges into shipped agentic AI solutions.
- Share customer insights and field experience 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.
- Computer Science or related degree.
- Expertise in at least one of Python, JavaScript/TypeScript, Java, or Apex, with familiarity with 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 proficiency with 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.
- Ability to communicate with engineering peers, customer architects, and executive stakeholders.
- Ability to travel to customer sites as needed.
- Business-level proficiency in Arabic and English.
- Preferred qualifications include Salesforce certifications, familiarity with DevOps/CI-CD, observability tooling, or data governance frameworks, and experience with multi-cloud enterprise AI solutions.
- Preferred qualifications also include influencing enterprise software roadmaps, open-source contributions, technical writing, or conference presentations.
Benefits
- Salesforce states that its benefits and resources support balance and employee well-being.
- Travel to customer sites may be required as needed to ensure client success.
- Reasonable accommodations are available 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.