Agentforce Engineer Director/ Agentforce Engineer Sr. Manager

About the Role

Key Responsibilities

• Assess technical and business readiness and map organizational processes through direct customer engagement.
• Lead the end-to-end design, configuration, and deployment of Agentforce agents within Salesforce, ensuring compliance, business logic, and customer experience goals are met.
• Recommend opportunities to reengineer processes by combining AI agent capabilities with Salesforce automation tools such as Flows and OmniStudio.
• Identify and provide recommendations on data strategy, data quality, governance, and best practices in the software development lifecycle.
• Define and orchestrate agent actions, configure and maintain agent topics, and create and optimize prompt engineering strategies to improve performance, relevance, and accuracy.
• Build and maintain guardrails to govern agent behavior, including risk mitigation, escalation paths, constraints, and tone-of-voice calibration.
• Implement and configure large language models (LLMs) like GPT-4 for Salesforce agents.
• Perform testing and refinement in customer environments to optimize agent performance.
• Track performance metrics and user feedback; execute iterative improvements to grow Agentforce adoption.
• Collaborate with Product teams during and after deployments, including pilot programs and beta testing of new features.
• Build and maintain knowledge bases and technical documentation for internal and customer use.
• Develop and implement standardized agent deployment processes and create integration patterns across Salesforce platforms.
• Serve as a key feedback conduit between customer implementations and the Salesforce TMP organization.
• Deliver guidance on best practices to ensure customer self-sustainability of their Agentforce implementation.

Requirements

• 5+ years experience with cloud-based technologies and architecture principles.
• Advanced or expert knowledge of Salesforce, Agentforce, and AI technologies.
• Experience with Data Cloud or similar data integration platforms.
• Other Salesforce Certifications such as Advanced Admin, Service Cloud, Data Cloud, Agentforce, or Sales Cloud.
• Solid understanding of AI concepts, especially conversational AI or intelligent agents.
• Hands-on experience integrating Large Language Models (LLMs) or AI services into applications.
• Experience with AI orchestration frameworks or prompt engineering.
• Proficiency in Salesforce Flow, Lightning Web Components (LWC), Apex, Salesforce APIs, and Agent Studio.
• Ability to grasp and learn new business models and technology paradigms.
• Strong debugging, optimization, and reliability skills for integrated AI-Salesforce solutions.
• Excellent communication and presentation skills, capable of influencing at all organizational levels.

Nice to Have

• Familiarity with building Einstein Bots or Agentforce agents.
• Experience deploying conversational AI solutions in regulated or sensitive environments such as healthcare or finance.

Qualifications

• Relevant professional experience with cloud technologies and AI integration.
• Salesforce certifications such as Advanced Admin, Service Cloud, Data Cloud, Agentforce, or Sales Cloud.

Benefits & Perks

• Time off programs, medical, dental, vision, mental health support.
• Paid parental leave, life and disability insurance.
• 401(k) plan, employee stock purchasing program.
• Additional details available at https://www.salesforcebenefits.com.