Principal Architect

This is a fully remote position, open to applicants in Texas.

📋 Description

• Spearhead agentic AI architecture on key financial-services accounts.

• Conduct discovery and organizational assessments, establish current and future state architecture, and oversee architectural direction until production handoff.

• Influence decisions regarding agent orchestration, MCP and agent-to-agent interoperability, headless and composable design, data foundations, as well as trust and governance.

• Co-develop working prototypes and proof-of-value assets utilizing customers’ data and objects through modern AI-assisted development tools.

• Deliver clearly defined engagement models that encompass agentic operating-model economics, governed headless experiences, governed multi-agent systems, and executive North Star architecture.

• Contribute new content and reusable components to the shared library.

• Organize architecture, data dictionaries, process maps, and agent metadata for partners, systems integrators, and delivery teams.

• Ensure clear entry and exit gates for predictable delivery.

• Convert architecture into business value for CIOs, CTOs, Chief Architects, and line-of-business leaders.

• Align designs with financial-services regulatory, data-residency, model-risk, and operating-model constraints.

• Represent Salesforce at executive briefings, architecture review boards, and industry events.

• Mentor architects and account teams.

• Provide insights, reference architectures, and reusable assets.

• Collaborate with account executives, sales engineers, Professional Services, forward-deployed engineers, partners, and product teams.

⛳️ Requirements

• Over 10 years of experience in enterprise or solution architecture, with substantial customer-facing work in financial services.

• In-depth hands-on experience with the Salesforce platform, including Financial Services Cloud, Service/Sales Cloud, and Data 360.

• Enterprise integration experience, preferably with MuleSoft and API-led design.

• Practical, up-to-date experience designing and implementing AI solutions, such as LLM-based agents, retrieval and grounding, agent orchestration, MCP, and A2A.

• Proficient in prototyping using Apex, JavaScript/Node, Python, or similar languages.

• Familiarity with Git-based workflows.

• Knowledge of financial-services regulatory and risk requirements, including privacy, data residency, model risk management, auditability, and AI governance.

• Strong executive presence and capability to resolve contested architecture decisions with Chief Architects.

• Team-oriented operating style.

• Bachelor’s degree in Computer Science, Software Engineering, or Management Information Systems.

• Understanding of related applications, relational databases, and ERP technologies.

• Excellent oral, written, presentation, collaboration, and interpersonal communication skills.

• Ability to work collaboratively to address technical challenges in diverse political environments.

• Minimum of 4 years of professional experience.

• Salesforce certifications such as Agentforce Specialist, Data Cloud Consultant, Application/System Architect, or progress toward CTA are preferred.

• Experience on the customer or systems integrator side of large financial-services transformations is a plus.

• Familiarity with process intelligence or agentic operations tools is advantageous.

• Published points of view, conference presentations, or open reusable assets are beneficial.

🏝️ Benefits

• 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.

• Reasonable accommodations during the application or recruiting process.