Solutions Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, test, and implement autonomous AI agents utilizing Salesforce Agentforce across various Salesforce clouds.

• Construct and configure tailored Agent Actions through Flows, Apex, Prompt Templates, and MuleSoft APIs.

• Create and execute agent topics, instructions, and guardrails to guarantee precise and safe agent responses.

• Develop proof of concepts to assess agent feasibility and showcase business value prior to full-scale implementation.

• Design custom Prompt Templates and optimize system prompts for enhanced agent performance.

• Integrate agents with Data Cloud, external systems, and third-party LLMs utilizing MuleSoft or APIs.

• Enforce agent security measures, including configuration of the Einstein Trust Layer and data masking protocols.

• Conduct unit testing and simulation testing, while also assisting with user acceptance testing.

• Monitor agent performance analytics and continuously refine based on conversation metrics.

• Identify and resolve issues related to agent responses, actions, and integrations.

⛳️ Requirements

• Over 3 years of development and configuration experience within the Salesforce Platform.

• Practical experience in building and deploying Agentforce agents in live environments.

• Strong expertise in Salesforce Flow, including autonomous mode flows, and Apex for custom agent actions.

• Experience in API development and integration, focusing on designing and utilizing RESTful APIs via MuleSoft or native Salesforce.

• Proficient in prompt engineering and working with Large Language Models (e.g., GPT-4, Claude).

• Familiarity with Data Cloud or comparable customer data platforms.

• Knowledge of programming languages such as JavaScript, Python, and/or Apex.

• Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques.

• Experience with agent testing methodologies and principles of conversation design.

• Salesforce Administrator certification is mandatory.

• AgentBlazer Champion certification is required.

• Platform Developer I certification is necessary.

• In-depth understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine.

• Ability to create conversational AI experiences with suitable agent tone, personality, and guardrails.

• Strong prompt engineering capabilities with the ability to iterate and enhance agent instructions.

• Knowledge of the Einstein Trust Layer, data security, and compliance requirements for AI agents.

• Experience in monitoring agent performance, conducting A/B testing, and driving continuous improvement.

• Capability to translate business requirements into agent functionalities and action plans.

• Strong grasp of when to utilize agents versus traditional automation methods, including Flows and Apex.

• Familiarity with multi-agent orchestration and handoff procedures.

• Knowledge of Salesforce metadata deployment, including DevOps practices, change sets, or CI/CD pipelines.

• Excellent problem-solving abilities and proficiency in debugging complex agent behaviors.

• Strong communication skills to convey agent capabilities and limitations to non-technical stakeholders.

🏝️ Benefits

• Competitive salary along with performance-based incentives.

• Comprehensive benefits package that includes health, dental, and vision insurance.

• Opportunities for professional development and career advancement.

• A collaborative and inclusive workplace culture.

• Fully remote work options (minimal travel may be necessary based on client requirements).