Salesforce developer

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