
Forward Deployed Engineer (FDE) (Mid/Senior Level)
Salesforce2 months ago
Toronto, CanadaMid Level / Senior
Responsibilities
- Design, build, deploy, validate, and monitor agentic AI solutions in enterprise customer environments.
- Develop AI agents and experiences using prompts, reasoning, tool calls, integrations, and current LLM techniques.
- Own technical components end to end, from architecture selection through observable production deployment.
- Build and integrate data pipelines using Salesforce Data 360, Snowflake, Databricks, and customer data platforms.
- Model data, validate pipeline output, and build agent performance dashboards and customer KPI reporting.
- Develop proofs of concept and MVPs that can move from concept to deployment quickly.
- Co-build solutions with customers and partners while providing best practices and enablement.
- Identify platform gaps, edge cases, and field insights for senior engineers and product teams.
- Partner with Deployment Strategists to translate customer challenges into deployable agentic solutions.
- Travel approximately 25% to work directly with customers.
Requirements
- At least 3 years of software engineering or technical delivery experience; Senior-level candidates require 6–10 years.
- At least one production system experience that demonstrates hands-on engineering capability.
- A degree in Computer Science or a related field.
- Required prior customer-facing technical delivery experience in consulting, professional services, or forward deployed engineering.
- Fluency in at least one of Python, JavaScript/TypeScript, Java, or Apex.
- Hands-on experience with LLMs and prompt engineering.
- Deep understanding of data modeling, APIs, and integration patterns.
- Ability to collaborate effectively with sales teams and customer architects.
- Ability to produce quality code and evaluate AI outputs rigorously.
- Salesforce platform experience or certifications such as Administrator, Platform Developer I, or Agentforce Specialist is preferred.
- Familiarity with LangChain, LlamaIndex, and orchestration patterns is preferred.
- Experience with Snowflake, Databricks, or BigQuery is preferred.
- Experience in data engineering, platform architecture, or headless deployments is preferred.
Benefits
- Salesforce provides benefits and resources intended to support balance and personal well-being.
- The role includes approximately 25% travel and direct customer engagement.
- Salesforce offers reasonable accommodations during the application and recruiting process.
- Salesforce is an equal opportunity employer with an inclusive, non-discriminatory workplace.
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.