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Applied AI Architect – Principal/Lead
Salesforce. Lead architecture work across Platform Advantage, Emerging Tech & UI Innovation, Data & AI Excellence, or Governance & Trust .
Core Competencies
Role fitCore 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
Tailor your resumeApplicant 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