
Principal AI Solutions Architect (Financial Services Regulated Industries)
Salesforce
16m ago • Hybrid
Senior
Hybrid
173,460 - 269,080 USD/yr
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Potential salary for Principal AI Solutions Architect (Financial Services Regulated Industries) role
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$173,460 – $269,080/year
Quick Facts
Role: Principal AI Solutions Architect (Financial Services Regulated Industries)
Focus: Agentic AI architecture for regulated financial services accounts
Scope: Discovery → prototypes → governed production handoff
Description
You will be the trusted technical lead for strategic financial services accounts, designing agentic AI architectures that stand up to real governance. The work spans governed multi-agent systems, headless/API-first experiences, and unified data and integration patterns across Agentforce, Data 360, MuleSoft, and customer systems. You will prototype value quickly, then package and hand off reusable architecture assets to scale production outcomes.
Responsibilities
Lead agentic AI architecture on strategic accounts, defining current/future state and architectural direction
Co-build working prototypes and proof-of-value assets using customer data
Deliver engagement playbooks for enterprise governed multi-agent and headless experiences
Own handoff materials and scale path (architecture, data dictionaries, process maps, agent metadata)
Advise executives on financial services outcomes under regulatory and risk constraints
Mentor architects and contribute reusable reference architectures to the broader library
Requirements
10+ years in enterprise or solution architecture with significant customer-facing financial services experience
Deep hands-on Salesforce experience (Financial Services Cloud, Service/Sales Cloud, Data 360)
Practical current experience designing/building AI solutions (LLM-based agents, retrieval/grounding, orchestration, MCP/A2A interoperability)
Builder credibility: personally prototype with code (Apex, JavaScript/Node, Python or similar) and use Git-based workflows
Working knowledge of FS regulatory and risk requirements (privacy, data residency, model risk management, auditability, AI governance)
Executive presence to debate and decide architecture with Chief Architect stakeholders
Benefits
Time off programs
Medical, dental, and vision
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program
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