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 (Open AI, Azure Open AI, 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 Open AI, Azure Open AI, Anthropic, Lang Chain, 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 Mule Soft or enterprise middleware platforms Exposure to financial services, capital markets, or trade management domains Experience with cloud platforms such as AWS, Azure, or GCP