Associate Principal - Architecture
Associate Principal - Architecture
LTMThis job is no longer accepting applications
Job Description
Role Description
We are looking for a Salesforce Agentforce Technical Architect to design implement and govern AIpowered agent solutions on Salesforce This role is responsible for endtoend architecture across Agentforce Einstein capabilities Salesforce Platform and where applicable Data Cloud ensuring solutions are secure scalable compliant and measurable
You will lead technical strategy for agentic experiences across Service Sales Experience Cloud and custom apps including orchestration promptguardrail design toolaction frameworks integration patterns and observability
Key Responsibilities
1 Agentforce Solution Architecture EndtoEnd
Architect and lead implementations of Agentforcepowered agents for customer service sales support operations and internal productivity use cases
Define the agent capability map intents conversation flows handoffs to humans escalation routes and multichannel behavior console portal messaging etc
Design toolaction architecture for agents eg CRUD operations caseorder status knowledge search quote support using Salesforcenative services and external APIs
Establish patterns for agent routing context enrichment and state management session context customer context case context
2 AI Governance Trust Security Guardrails
Define and enforce AI guardrails
Allowed vs restricted actions
Data access boundaries FLSCRUDsharing
Sensitive data handling and redaction
Hallucination mitigation strategies and safefallback responses
Ensure compliance with enterprise security requirements
Identity access governance least privilege
Auditability and traceability of agent actions
Data retention and logging policies for AI interactions
Lead risk assessments for AI features including bias and privacy considerations
3 Data Knowledge Architecture for Agents
Architect the data foundation required for effective agent performance
Data model alignment across Salesforce objects
Knowledge architecture taxonomy article lifecycle search tuning
Context retrieval patterns grounding and data freshness strategies
If Data Cloud is in scope
Define ingestion harmonization identity resolution and segmentation needed to power agent context
4 Integrations Action Orchestration
Design integration patterns to enable agent actions across enterprise systems
ERPOrder systems billing shipping inventory identity productpricing etc
Define API strategy and governance
RESTGraphQLSOAP where relevant authentication OAuth Named Credentials
Error handling retries idempotency and compensation patterns for agenttriggered actions
Collaborate with middleware teams MuleSoft or equivalent for secure and scalable integration
5 Platform Engineering Leadership
Provide technical leadership across Salesforce development
Apex LWC Flow asynchronous processing patterns
Packaging strategy modularity performance tuning
Code reviews and architecture compliance checks
Establish standards for
Reusable components for agent UIs and assistive experiences
Environment strategy and CICD
Quality gates static analysis test automation release governance
6 Observability Metrics Continuous Improvement
Define instrumentation and monitoring for agent solutions
Agent success rate containment rate timetoresolution
Action successfailure rates API latency error budgets
User feedback loops and human override tracking
Lead continuous improvement
Promptflow refinements knowledge improvements and AB evaluation strategies
Regression controls to prevent performance degradation after updates
7 Stakeholder Management Delivery Ownership
Run architecturedesign workshops and act as Design Authority for Agentforce programs
Translate business goals into technical blueprints and implementation roadmaps
Partner with Product Owners Security LegalCompliance and Ops teams to ensure safe adoption and operational readiness
Required Skills Qualifications
1016 years of overall experience including 710 years on Salesforce
Strong Salesforce architecture experience across
Platform data model security automation
Service Cloud Sales Cloud Experience Cloud as applicable
Handson engineering leadership with
Apex LWC Flow async design QueueableBatchPlatform Events
Integration architecture and API governance
Strong understanding of AI solution design
Conversation flows groundingcontext strategies guardrails
Measuring quality and operational outcomes
Experience defining enterprisegrade security and compliance for digital solutions
Preferred Skills
Experience with Data Cloud data ingestionharmonizationidentity resolution and using unified profiles to enrich agent context
Experience with Knowledge management best practices taxonomy search tuning deflection strategy
Experience with Contact CenterCTI digital channels or messaging integrations
Familiarity w
We are looking for a Salesforce Agentforce Technical Architect to design implement and govern AIpowered agent solutions on Salesforce This role is responsible for endtoend architecture across Agentforce Einstein capabilities Salesforce Platform and where applicable Data Cloud ensuring solutions are secure scalable compliant and measurable
You will lead technical strategy for agentic experiences across Service Sales Experience Cloud and custom apps including orchestration promptguardrail design toolaction frameworks integration patterns and observability
Key Responsibilities
1 Agentforce Solution Architecture EndtoEnd
Architect and lead implementations of Agentforcepowered agents for customer service sales support operations and internal productivity use cases
Define the agent capability map intents conversation flows handoffs to humans escalation routes and multichannel behavior console portal messaging etc
Design toolaction architecture for agents eg CRUD operations caseorder status knowledge search quote support using Salesforcenative services and external APIs
Establish patterns for agent routing context enrichment and state management session context customer context case context
2 AI Governance Trust Security Guardrails
Define and enforce AI guardrails
Allowed vs restricted actions
Data access boundaries FLSCRUDsharing
Sensitive data handling and redaction
Hallucination mitigation strategies and safefallback responses
Ensure compliance with enterprise security requirements
Identity access governance least privilege
Auditability and traceability of agent actions
Data retention and logging policies for AI interactions
Lead risk assessments for AI features including bias and privacy considerations
3 Data Knowledge Architecture for Agents
Architect the data foundation required for effective agent performance
Data model alignment across Salesforce objects
Knowledge architecture taxonomy article lifecycle search tuning
Context retrieval patterns grounding and data freshness strategies
If Data Cloud is in scope
Define ingestion harmonization identity resolution and segmentation needed to power agent context
4 Integrations Action Orchestration
Design integration patterns to enable agent actions across enterprise systems
ERPOrder systems billing shipping inventory identity productpricing etc
Define API strategy and governance
RESTGraphQLSOAP where relevant authentication OAuth Named Credentials
Error handling retries idempotency and compensation patterns for agenttriggered actions
Collaborate with middleware teams MuleSoft or equivalent for secure and scalable integration
5 Platform Engineering Leadership
Provide technical leadership across Salesforce development
Apex LWC Flow asynchronous processing patterns
Packaging strategy modularity performance tuning
Code reviews and architecture compliance checks
Establish standards for
Reusable components for agent UIs and assistive experiences
Environment strategy and CICD
Quality gates static analysis test automation release governance
6 Observability Metrics Continuous Improvement
Define instrumentation and monitoring for agent solutions
Agent success rate containment rate timetoresolution
Action successfailure rates API latency error budgets
User feedback loops and human override tracking
Lead continuous improvement
Promptflow refinements knowledge improvements and AB evaluation strategies
Regression controls to prevent performance degradation after updates
7 Stakeholder Management Delivery Ownership
Run architecturedesign workshops and act as Design Authority for Agentforce programs
Translate business goals into technical blueprints and implementation roadmaps
Partner with Product Owners Security LegalCompliance and Ops teams to ensure safe adoption and operational readiness
Required Skills Qualifications
1016 years of overall experience including 710 years on Salesforce
Strong Salesforce architecture experience across
Platform data model security automation
Service Cloud Sales Cloud Experience Cloud as applicable
Handson engineering leadership with
Apex LWC Flow async design QueueableBatchPlatform Events
Integration architecture and API governance
Strong understanding of AI solution design
Conversation flows groundingcontext strategies guardrails
Measuring quality and operational outcomes
Experience defining enterprisegrade security and compliance for digital solutions
Preferred Skills
Experience with Data Cloud data ingestionharmonizationidentity resolution and using unified profiles to enrich agent context
Experience with Knowledge management best practices taxonomy search tuning deflection strategy
Experience with Contact CenterCTI digital channels or messaging integrations
Familiarity w
More Info
Key Skills
API governance
Observability metrics
Data Cloud
AI solution design
Conversation flows
About Company