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Salesforce

Applied AI Architect – Principal/Lead

Salesforce

. Lead architecture work across Platform Advantage, Emerging Tech & UI Innovation, Data & AI Excellence, or Governance & Trust .

Posted 10/16/2026full-timeUnited StatesSenior💰 $148,190 - $198,170 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in enterprise architecture with a focus on AI-assisted development, agent orchestration, and capability architecture. Proven ability to influence stakeholders and drive collaborative solutions across complex technical environments.

Highest-signal resume keywords
Enterprise ArchitectureAI-Assisted DevelopmentSalesforce Platform FluencyAgent ArchitectureData 360 & Semantic Architecture

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills
Agent OrchestrationAPI DesignCapability ArchitectureData Access DesignTesting MethodologiesAI ToolingComposabilityHuman-in-the-Loop ControlsAudit DesignDevelopment Lifecycle Quality Practices
Soft Skills
Stakeholder InfluenceCollaborationProblem ResolutionEngagement Through Delivery
Certifications & Qualifications
B.S. in Computer ScienceM.S. in Software EngineeringPhD in Computer Science
Industry Keywords
Governance & TrustEmerging TechUI InnovationAI Governance & SecurityHeadless ArchitectureComposable Architecture

About the role

Key responsibilities & impact
  • Lead architecture work across Platform Advantage, Emerging Tech & UI Innovation, Data & AI Excellence, or Governance & Trust
  • Design agent orchestration, agent-to-agent interaction, state, memory, guardrails, and testing
  • Expose business capabilities for agents to discover and act on through MCP and capability architecture
  • Architect unified customer data, semantic layers, and AI context with Data 360
  • Design APIs, headless experiences, and composable Salesforce extensions
  • Apply AI-assisted development practices, including coding assistants, review of AI-generated work, and development lifecycle quality practices
  • Design identity, permissions, data access, agent authority, human-in-the-loop controls, and audit
  • Work collaboratively across multiple pre-sale and post-sale teams
  • Align C-suite stakeholders around business problems and map them to actionable capabilities
  • Resolve platform-fit ambiguity and recover troubled or stalled customer rollouts
  • Identify ambiguity and route it to the appropriate domain
  • Determine final domain placement during the interview process based on demonstrated depth and team need

Requirements

What you’ll need
  • 5+ years in enterprise or solutions architecture
  • Direct experience influencing senior technical and business stakeholders
  • Experience with AI tooling to build solutions, learn new skills, and improve job efficiency
  • Deep expertise in at least one of six focus areas: Agent Architecture; MCP & Capability Architecture; Data 360 & Semantic Architecture; Headless & Composable Architecture; AI-Assisted Development; AI Governance & Security
  • Fluency across the Salesforce platform or at least one major alternative or adjacent technology relevant to the focus area
  • Track record of staying engaged through delivery, including recovering stalled or politically stuck work
  • B.S., M.S. or PhD in Computer Science, Software Engineering or MIS

Benefits

Comp & perks
  • Time off programs
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Mental health support
  • Paid parental leave
  • Life insurance
  • Disability insurance
  • 401(k)
  • Employee stock purchasing program
  • Incentive compensation may be available for certain roles
  • Equity may be available for certain roles