AGENTFORCE ARCHITECT

Shrive Technologies; Washington (District of Columbia); On-site; USD 140,000 - 200,000; Full time

Job summary

Shrive Technologies seeks a highly experienced Salesforce architect and AI-enabled solutions expert to design secure, scalable, production-grade apps on the Salesforce platform. The role emphasizes agentic AI architectures, LLM-based systems, and enterprise integration patterns across time zones.

Deep familiarity with Data Cloud, Apex, LWC, and Salesforce APIs is required. Candidate should excel in cross-functional collaboration with business, security, and governance stakeholders, delivering

Skills

Salesforce platform

Solution architecture

Hands-on development

AI-enabled solutions

Agentforce / Einstein AI

Data Cloud

Apex

LWC

Flows

SOQL

Salesforce APIs

LLMs & prompt engineering

RAG architectures

Vector stores

Enterprise integration patterns

REST APIs

Event-driven architectures

DevOps / CI/CD

Azure AI/OpenAI

Agile / cross-time zones

Job description

Skills / Experience Required

• 8+ years of Salesforce platform experience spanning solution architecture and hands-on development of secure, scalable, production-quality applications.
• 8+ years of Salesforce platform experience spanning solution architecture and hands-on development of secure, scalable, production-quality applications.
• 3+ years designing and building AI-enabled solutions, including agentic AI architectures and LLM-based systems in production.
• Hands-on experience with Salesforce Agentforce, Einstein/Agentforce AI, and Data Cloud, including agent topics, actions, grounding, and guardrails.
• Deep expertise in Financial Cloud and platform integrations, with strong proficiency in Apex, LWC, Flows, SOQL, and Salesforce APIs.
• Strong understanding of LLMs, RAG architectures, vector stores, embeddings, prompt engineering, structured outputs, and evaluation frameworks.
• Experience designing and delivering secure, governed, and cost-aware enterprise AI solutions with robust fallback and observability strategies.
• Knowledge of enterprise integration patterns using REST APIs, event-driven architectures, and cloud-native services.
• Knowledge of DevOps, CI/CD, source control, and deployment automation for Salesforce.
• Experience with Microsoft Azure AI, Azure OpenAI or equivalent AI/cloud platforms is preferred.
• Experience working in Agile, multi-cultural teams across time zones with business, technology, security, legal, risk, and governance stakeholders.