Forward Deployed Engineer

Salesforce.com Sàrl; Zürich; Vor Ort; CHF 100.000 - 135.000; Vollzeit

Zusammenfassung

Salesforce.com Sàrl is seeking an experienced engineer to design, develop, and implement scalable AI solutions. The role involves collaborating with clients, troubleshooting, and overseeing complex technical initiatives.

The ideal candidate will have 5+ years of delivery experience, expertise in programming, and proficiency in AI technologies on the Salesforce platform. This position requires the ability to communicate complex ideas effectively to various stakeholders.

Qualifikationen

• 5+ years of experience in delivering scalable production solutions.
• Strong background in a related engineering discipline with programming proficiency.
• Expertise in building and deploying AI/LLM technologies.

Aufgaben

• Write critical code and lead junior teammates for successful deployment.
• Own design and implementation of scalable AI solutions.
• Conduct technical debugging and root cause analysis.

Kenntnisse

JavaScript

Java

Python

Apex

Data Modeling

Advanced AI Orchestration

Salesforce Platform

Communication Skills

Ausbildung

Computer Science or related engineering discipline

Tools

Salesforce Data Cloud

Snowflake

Databricks

BigQuery

Jobbeschreibung

Responsibilities

• Drive tangible outcomes through hands‑on implementation: Write critical code, configure systems, troubleshoot issues, and guide junior teammates for successful deployment and measurable business impact.
• Build transformative AI solutions: Own the design, development, and implementation of scalable production systems, including AI and LLM‑based intelligent agents and automated workflows on the Salesforce platform.
• Engineer bespoke agentic AI solutions: Work directly with customers to design and build custom intelligent agents on the Agentforce platform, ensuring integration with existing ecosystems.
• Data configuration & integration: Own the data lifecycle—from design of data models to building processing pipelines and establishing integration strategies for advanced AI applications.
• Proactively remove technical blockers: Identify, analyze, and resolve complex technical challenges in data integration, model deployment, and agent orchestration.
• Drive Agentforce innovation: Push the capabilities of the platform, develop intelligent agents, automate processes, and influence future product enhancements.
• Become a trusted strategic partner: Embed with client teams, translate operational challenges into technical requirements, and lead technical discussions.
• Conduct deep‑dive technical debugging and root cause analysis: Optimize performance and reliability of system interactions, data flows, and AI model behaviors.
• Lead rapid prototyping and iteration: Build proofs‑of‑concept and MVPs with client teams, gathering feedback for iterative refinement.
• Implement and enforce best practices: Evangelize engineering best practices for code quality, scalability, security, and maintainability.

Required Qualifications

• 5+ years of end‑to‑end delivery experience for high‑quality, scalable production solutions.
• Strong background in Computer Science or a related engineering discipline.
• Expert‑level proficiency in one or more programming languages such as JavaScript, Java, Python, or Apex.
• Extensive experience building and deploying AI/LLM technologies, including LLM integration, advanced AI orchestration frameworks, prompt engineering, and agentic frameworks.
• Deep expertise in data modeling, processing, integration, and analytics with enterprise platforms like Salesforce Data Cloud, Snowflake, Databricks, or BigQuery.
• Significant experience with the Salesforce platform, including advanced configuration, customization, and complex development.
• Entrepreneurial, “get‑things‑done” attitude with a focus on fast, impactful delivery and proven leadership of technical initiatives.
• Exceptional collaboration, communication, and presentation skills, able to articulate complex concepts to technical and non‑technical stakeholders.
• Proven ability to lead technical engagements, mentor juniors, and oversee the technical aspects of projects.
• Ability to travel up to 60% of the time as needed to customer sites.

Preferred Qualifications

• Extensive experience with Salesforce Data Cloud and/or the Agentforce platform.
• Experience developing conversational AI solutions in highly regulated industries.
• Expert‑level experience with Apex and/or Python in a professional setting.
• Prior customer‑facing technical lead or architect role.
• Advanced Salesforce certifications such as Platform Developer II, Application Architect, or System Architect.
• Deep knowledge of Salesforce CRM Clouds (Service, Sales, Marketing).
• Experience with Salesforce Flows and Lightning Web Components, including complex custom development.
• Contributions to open‑source AI frameworks or libraries.

Equal Employment Opportunity Statement

Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. Candidates are assessed on the basis of merit, competence and qualifications, without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey, and covers recruiting, hiring, job assignment, compensation, promotion, benefits, training, and assessment of job performance.