• Act as the architecture authority – own the deterministic/AI boundary design, multi-tenant data isolation model, and LLM security posture; baseline architectural decisions in week 1 that lock the team's constraints • Technical owner from design to delivery – tailor solutions to Alpine's stated requirements (FastAPI + PostgreSQL + AWS Bedrock + ECS Fargate) while defending against scope creep and technical debt • Partner with stakeholders to capture requirements – work with client leadership to translate business and compliance needs into architectural constraints (e.g., multi-tenant isolation, run-to-run consistency guarantees, audit trails) • Assess and plan for technology insertion – evaluate architectural trade-offs (e.g., why a single bounded AI step beats two, why RLS + FORCE ROW LEVEL SECURITY beats application-layer filtering, why Pydantic schema validation is the output gate) • Manage risk identification and mitigation – surface and mitigate delivery risks (e.g., CISO golden-set availability, prompt-injection surface area, cross-tenant isolation defects) with concrete mitigation strategies • Influence and communicate vision – define the long-term product roadmap (Tools 1–5), technical vision (the 5-section Source of Truth structure, the 7-stage pipeline design), and development strategy (agentic-orchestration approach, vertical slices, always-functional milestones) • Contribute to code reviews and architectural artifacts – review critical paths (Bedrock adapter, RLS policies, Stage 4 calibration logic); document architectural decision records (ADRs) that capture the why, not just the what • Lead and mentor the team – guide the AI/LLM Lead and Backend engineers on AI reliability, security patterns, and multi-tenant design; escalate ambiguity upward rather than letting it flow down to individual engineers

• Act as the architecture authority – own the deterministic/AI boundary design, multi-tenant data isolation model, and LLM security posture; baseline architectural decisions in week 1 that lock the team's constraints • Technical owner from design to delivery – tailor solutions to Alpine's stated requirements (FastAPI + PostgreSQL + AWS Bedrock + ECS Fargate) while defending against scope creep and technical debt • Partner with stakeholders to capture requirements – work with client leadership to translate business and compliance needs into architectural constraints (e.g., multi-tenant isolation, run-to-run consistency guarantees, audit trails) • Assess and plan for technology insertion – evaluate architectural trade-offs (e.g., why a single bounded AI step beats two, why RLS + FORCE ROW LEVEL SECURITY beats application-layer filtering, why Pydantic schema validation is the output gate) • Manage risk identification and mitigation – surface and mitigate delivery risks (e.g., CISO golden-set availability, prompt-injection surface area, cross-tenant isolation defects) with concrete mitigation strategies • Influence and communicate vision – define the long-term product roadmap (Tools 1–5), technical vision (the 5-section Source of Truth structure, the 7-stage pipeline design), and development strategy (agentic-orchestration approach, vertical slices, always-functional milestones) • Contribute to code reviews and architectural artifacts – review critical paths (Bedrock adapter, RLS policies, Stage 4 calibration logic); document architectural decision records (ADRs) that capture the why, not just the what • Lead and mentor the team – guide the AI/LLM Lead and Backend engineers on AI reliability, security patterns, and multi-tenant design; escalate ambiguity upward rather than letting it flow down to individual engineers

• Act as the architecture authority – own the deterministic/AI boundary design, multi-tenant data isolation model, and LLM security posture; baseline architectural decisions in week 1 that lock the team's constraints • Technical owner from design to delivery – tailor solutions to Alpine's stated requirements (FastAPI + PostgreSQL + AWS Bedrock + ECS Fargate) while defending against scope creep and technical debt • Partner with stakeholders to capture requirements – work with client leadership to translate business and compliance needs into architectural constraints (e.g., multi-tenant isolation, run-to-run consistency guarantees, audit trails) • Assess and plan for technology insertion – evaluate architectural trade-offs (e.g., why a single bounded AI step beats two, why RLS + FORCE ROW LEVEL SECURITY beats application-layer filtering, why Pydantic schema validation is the output gate) • Manage risk identification and mitigation – surface and mitigate delivery risks (e.g., CISO golden-set availability, prompt-injection surface area, cross-tenant isolation defects) with concrete mitigation strategies • Influence and communicate vision – define the long-term product roadmap (Tools 1–5), technical vision (the 5-section Source of Truth structure, the 7-stage pipeline design), and development strategy (agentic-orchestration approach, vertical slices, always-functional milestones) • Contribute to code reviews and architectural artifacts – review critical paths (Bedrock adapter, RLS policies, Stage 4 calibration logic); document architectural decision records (ADRs) that capture the why, not just the what • Lead and mentor the team – guide the AI/LLM Lead and Backend engineers on AI reliability, security patterns, and multi-tenant design; escalate ambiguity upward rather than letting it flow down to individual engineers

• Develop and maintain scalable solutions using Apex, LWC, SOQL, and custom metadata types. • Build automation using Flows and declarative tools, API Integrations, and Mulesoft. • Participate in code reviews, Salesforce Change Sets, and CI/CD pipelines (Copado, Gearset). • Ensure adherence to Salesforce development best practices and security standards. • Enhance Sales Cloud functionalities, including Lead/Opportunity lifecycle management and custom quote flows. • Support Service Cloud features, focusing on Case Management and Omni-Channel Routing. • Customize Experience Cloud portals with Lightning components and branded user experiences.