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- AI Forward Deployed Engineer (Senior/Lead/Principal)
AI Forward Deployed Engineer (Senior/Lead/Principal)
AI Tools
Tech Stack
Agent Workflow
Engineer custom intelligent agents using Agentforce, ensuring seamless integration with customer ecosystems. Integrating LLMs, applying advanced AI orchestration frameworks. Resolve complex technical blockers across data integration, model deployment, and agent orchestration.
About the Role
Salesforce seeks a highly accomplished Forward Deployed Engineer to lead complex AI deployments. The role emphasizes hands-on implementation, customer partnership, and technical leadership across AI/LLM solutions built on the Agentforce platform.
Key Responsibilities
- Drive end-to-end technical delivery of complex AI solutions with hands-on coding and system configuration
- Design and implement high-quality, scalable production systems leveraging AI and LLM-based intelligent agents
- Engineer custom intelligent agents using Agentforce, ensuring seamless integration with customer ecosystems
- Own complete data lifecycle: modeling, pipeline development, and integration strategy
- Identify and resolve complex technical blockers across data integration, model deployment, and agent orchestration
- Become foremost expert in Agentforce platform, pushing capabilities while influencing product strategy
- Embed with client teams as primary technical advisor and strategic partner
- Conduct deep-dive debugging and root cause analysis for system interactions and AI model behaviors
- Lead rapid prototyping and MVP development with iterative refinement
- Mentor junior team members and enforce engineering best practices
- 25-50% travel to customer sites
Required Qualifications
- 5+ years hands-on, end-to-end delivery experience for scalable production solutions
- Strong Computer Science or related engineering background
- Expert-level proficiency in JavaScript, Java, Python, or Apex
- Extensive experience building and deploying solutions with AI/LLM technologies
- Demonstrable proficiency with integrating LLMs, applying advanced AI orchestration frameworks (e.g., LangChain, LlamaIndex), prompt engineering
- Experience with agentic frameworks
- Deep expertise in data modeling, processing, integration, and analytics
- Proficiency with enterprise data platforms: Salesforce Data Cloud, Snowflake, Databricks, or BigQuery
Preferred Qualifications
- Extensive Salesforce Data Cloud and/or Agentforce experience
- Experience deploying conversational AI in highly regulated industries
- Expert-level Apex and/or Python coding
- Lightning Web Components (LWC) expertise
- Open-source AI framework contributions
- Advanced Salesforce certifications
Compensation
- British Columbia: CAD $108,000 - $267,700
- Ontario: CAD $108,000 - $158,000
Does not include bonuses, equity, or benefits.
Benefits: Medical, dental, vision, mental health support, paid parental leave, life/disability insurance, 401(k), employee stock purchasing program.
Locations: Toronto, ON / Vancouver, BC, Canada.