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