Architect Standard III - Agentforce Architect

Compunnel, Inc.; Washington (District of Columbia); On-site; USD 170,000 - 230,000; Full time

Job summary

Compunnel, Inc. in Washington, DC is seeking an Architect Standard III - Agentforce Architect to design, build, and operationalize secure, scalable agentic AI solutions on Salesforce Agentforce and related platforms.

This hands-on role blends solution architecture with active development, defining scalable architectures while deploying production-ready agents, actions, prompts, and integrations. You will collaborate with business, security, and technology stakeholders, develop RAG pipelines,

Qualifications

• 8+ years of Salesforce experience in 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, 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 working in Agile, multi-cultural teams across time zones with business, technology, security, legal, risk, and governance stakeholders.

Responsibilities

• Design and implement enterprise-scale Agentforce architecture, including agent topics, actions, orchestration, guardrails, memory, and knowledge integration.
• Define architecture standards, reusable design patterns, and governance guardrails, and personally develop and configure Agentforce agents, actions, prompts, and automation workflows.
• Collaborate with business, product, security, legal, risk, and technology stakeholders to identify, assess, and prioritize agentic AI use cases based on value, risk, and feasibility.
• Architect and build integrations between Agentforce and Salesforce Financial Cloud, Azure AI services, enterprise APIs, and external systems.
• Develop Apex, Flows, and supporting services; configure knowledge sources, Data Cloud grounding, and enterprise search.
• Design and implement RAG pipelines, prompt engineering, structured outputs, tool‑calling, and multi‑agent workflows with clear reasoning and escalation paths.
• Establish and implement responsible AI controls, including human oversight, auditability, monitoring, data protection, bias and safety mitigations, and graceful degradation.
• Define and run agent evaluation frameworks, quality and hallucination metrics, testing strategies, and operational readiness criteria.
• Lead architecture reviews and design sessions, provide implementation guidance and mentoring, and support deployment, scalability planning, cost optimization, and ongoing platform evolution.

Skills

Salesforce platform experience

AI-enabled solutions design

LLMs / RAG architectures

Prompt engineering

APEX / LWC / Flows

SOQL / Salesforce APIs

Data Cloud / Agentforce familiarity

DevOps / CI/CD practices

Agile / cross-functional teamwork

Tools

Salesforce Agentforce

Einstein/Agentforce AI

Data Cloud

Azure AI

Job description

Architect Standard III - Agentforce Architect

District Of Columbia, Washington

08/04/2026

Contract

Active

Job Description:

JOB SUMMARY

Looking Agentforce Architect to design, build, integrate, and operationalize secure, scalable, and responsible agentic AI solutions built on Salesforce Agentforce and related AI platforms. This is a hands-on role that combines solution architecture with active development: defining scalable and governed agent architectures while also building and deploying production-ready agents, actions, prompts, and integrations. The engagement requires an AI-first engineering mindset - designing for probabilistic outputs with robust guardrails and fallback strategies - while balancing cost, latency, reliability, security, and user experience across the Salesforce ecosystem, enterprise data sources, and business processes.

Key Responsibilities

• Design and implement enterprise-scale Agentforce architecture, including agent topics, actions, orchestration, guardrails, memory, and knowledge integration.
• Define architecture standards, reusable design patterns, and governance guardrails, and personally develop and configure Agentforce agents, actions, prompts, and automation workflows.
• Collaborate with business, product, security, legal, risk, and technology stakeholders to identify, assess, and prioritize agentic AI use cases based on value, risk, and feasibility.
• Architect and build integrations between Agentforce and Salesforce Financial Cloud, Azure AI services, enterprise APIs, and external systems.
• Develop Apex, Flows, and supporting services; configure knowledge sources, Data Cloud grounding, and enterprise search.
• Design and implement RAG pipelines, prompt engineering, structured outputs, tool‑calling, and multi‑agent workflows with clear reasoning and escalation paths.
• Establish and implement responsible AI controls, including human oversight, auditability, monitoring, data protection, bias and safety mitigations, and graceful degradation.
• Define and run agent evaluation frameworks, quality and hallucination metrics, testing strategies, and operational readiness criteria.
• Lead architecture reviews and design sessions, provide implementation guidance and mentoring, and support deployment, scalability planning, cost optimization, and ongoing platform evolution.

Required Qualifications

• 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 working in Agile, multi-cultural teams across time zones with business, technology, security, legal, risk, and governance stakeholders.

Preferred Qualifications

• Experience with Microsoft Azure AI, Azure OpenAI or equivalent AI/cloud platforms is preferred.