Salesforce Architect – AI, Predictive Analytics & Trade Cycle Management Location: Portugal (Hybrid/Remote flexibility based on project needs) Experience: 8–15+ Years About the Role We are seeking a senior-level Salesforce Architect with deep expertise in Salesforce platform architecture, AI/LLM integrations, predictive analytics, and enterprise data solutions to lead the design and implementation of a next-generation Trade Cycle Management platform. This role will drive the architecture of a Salesforce-native intelligent solution that leverages Large Language Models (LLMs), predictive analytics, and scalable data frameworks to optimize end-to-end trade lifecycle operations, automation, forecasting, and decision-making. The ideal candidate combines strong Salesforce technical leadership with hands-on experience in AI-driven enterprise applications, financial/trade systems, and data architecture. Key Responsibilities - Architect and deliver a scalable Salesforce-native Trade Cycle Management platform. - Design AI-powered workflows using Salesforce Einstein, predictive analytics, and LLM integrations. - Integrate external AI/LLM frameworks (OpenAI, Azure OpenAI, Anthropic, etc.) into Salesforce ecosystems. - Define enterprise-grade data models, governance strategies, and scalable integration architectures. - Collaborate with business stakeholders to translate complex trade lifecycle requirements into technical solutions. - Drive data analysis initiatives to improve forecasting, reporting, operational efficiency, and automation. - Lead Salesforce solution architecture across Financial Services Cloud, Service Cloud, and custom platform capabilities. - Design and oversee integrations with ERP systems, market data platforms, and third-party applications. - Provide technical leadership for Apex, Lightning Web Components (LWC), APIs, middleware, and enterprise integrations. - Ensure solution scalability, security, compliance, and performance optimization. - Mentor development teams on Salesforce architecture best practices, AI enablement, and modern data strategies. - Support AI-driven innovation initiatives across predictive intelligence and intelligent automation. Required Skills & Experience - 8+ years of Salesforce experience with strong architecture background - Expertise in Salesforce platform architecture and enterprise solution design - Strong experience with: - Financial Services Cloud - Service Cloud - Salesforce Platform - Experience Cloud - Hands-on experience with: - Apex - Lightning Web Components (LWC) - REST/SOAP APIs - Integration architecture - Salesforce security model AI / LLM / Predictive Analytics - Experience integrating Large Language Models (LLMs) into enterprise applications - Knowledge of: - Prompt engineering - AI orchestration - Generative AI integrations - AI-driven automation - Experience with: - Salesforce Einstein AI - Einstein GPT - Predictive analytics - AI/ML integrations - Familiarity with OpenAI, Azure OpenAI, Anthropic, LangChain, or similar AI ecosystems Data & Analytics - Strong experience in: - Data architecture - Data modeling - Data governance - Data analysis - ETL/data pipelines - Experience with enterprise reporting and visualization tools - Ability to analyze complex datasets and generate actionable business insights Domain Experience - Experience with: - Trade lifecycle management - Financial systems - Capital markets - Trading operations - Enterprise workflow automation Preferred Qualifications - Salesforce Certified Technical Architect (CTA) - Salesforce Application Architect / System Architect certifications - Experience with MuleSoft or enterprise middleware platforms - Exposure to financial services, capital markets, or trade management domains - Experience with cloud platforms such as AWS, Azure, or GCP