AI Architect: Salesforce & AWS, Client-Facing, Travel

Aretiforce | B Corp™; Greater London; Presencial; GBP 100 000 - 170 000; Tempo integral

Resumo da oferta

Aretiforce is seeking an experienced AI Architect to design and deliver enterprise AI solutions using Salesforce Agentforce and AWS. This is a hands-on, client-facing role combining AI architecture, Salesforce development, data engineering, and technical leadership.

You will design Agentforce agents, architect integrations across Salesforce, AWS, and enterprise systems, and implement RAG, vector databases and AI governance, while guiding senior stakeholders through discovery sessions.

Qualificações

• 6+ years of Salesforce solution architecture experience.
• Strong AWS and Salesforce integration expertise.
• Proficiency in Apex, Flow, LWC, and REST/SOAP APIs.
• Experience with RAG, LLMs, vector databases, and AI governance.
• 5+ years in client-facing consulting or forward-deployed engineering.

Responsabilidades

• Design and deploy Salesforce Agentforce agents, workflows, and AI solutions.
• Architect integrations across Salesforce, AWS, and enterprise systems.
• Build AI-powered solutions using Data Cloud, APIs, Apex, Flow, and MuleSoft.
• Implement RAG, vector databases, AI guardrails, and evaluation frameworks.
• Lead technical discovery sessions and advise senior client stakeholders.

Conhecimentos

Salesforce architecture

AWS integration

Apex Flow LWC REST SOAP APIs

RAG and vector databases

Client-facing consulting

Ferramentas

Salesforce Agentforce

MuleSoft

Descrição da oferta de emprego

Aretiforce is seeking an experienced AI Architect to design and deliver enterprise AI solutions using Salesforce Agentforce and AWS. This is a hands-on, client-facing role combining AI architecture, Salesforce development, data engineering, and technical leadership.

You will design Agentforce agents, architect integrations across Salesforce, AWS, and enterprise systems, and implement RAG, vector databases and AI governance, while guiding senior stakeholders through discovery sessions.