Contribute to the architecture, implementation, and deployment of accurate, reliable, scalable, compliant, and trusted enterprise-grade Agentforce solutions.
Design intelligent agents and supporting components leveraging LLMs, prompt engineering, integration technologies, and orchestration frameworks.
Remain current on the cutting edge of AI technologies and patterns and incorporate them into the Activation Team’s work by example and through instruction.
Define reusable patterns and implementations for agent skills, guardrails, and multi-agent collaboration and contemporary developments in the field of AI.
Drive key integrations across Salesforce product clouds and external systems.
Contribute to performance optimization, monitoring, and telemetry frameworks to achieve reference architectures for observability.
Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
Make, document, and advocate design decisions on the basis of performance, maintainability, trust, scalability, and growth.
Apply Agentforce and AI solutions to optimize core Service Cloud and Field Service processes, such as intelligent case deflection, predictive maintenance, and autonomous work order scheduling.
Drive agent design, prompt strategies, and skill orchestration.
Build reusable accelerators and deployment frameworks.
Mentor newer Solution Engineers and Architects on Agentforce capabilities.

Requirements

5+ years of relevant professional experience in a technical pre-sales or consulting role, with a focus on enterprise architecture.
Experience with Salesforce D360 (formerly Data Cloud)
Deep experience and expertise with Salesforce Service Cloud and Field Service Lightning implementations.
Understanding and experience in working on distributed systems
Understanding of modern AI (including but not limited to LLMs, regression models, statistical models, human-in-the-loop, fine-tuning, prompt and context engineering, MCP, A2A)
Experience designing, developing, and maintaining RESTful services
Understanding of vibe coding and its place in modern software development (e.g., Claude code, Cursor, rulesets, and supporting patterns)
Experience with RAG architectures
Experience with public cloud infrastructure - AWS/Azure/GCP
Experience integrating LLMs and AI services into enterprise applications.
Proven experience in architecting and delivering large-scale enterprise solutions.
Security concepts (mTLS, PKI, OAuth/SAML etc)
Experience with open source projects and community development
Demonstrated experience learning new technologies quickly.

Benefits

time off programs
medical
dental
vision
mental health support
paid parental leave
life and disability insurance
401(k)
an employee stock purchasing program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

enterprise architectureSalesforce D360Salesforce Service CloudField Service Lightningdistributed systemsAI technologiesRESTful servicesvibe codingRAG architecturespublic cloud infrastructure

Soft Skills

mentoringdesign decision advocacyperformance optimizationcollaborationinstruction