Agentforce Engineer Director

Salesforce, Inc..; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Salesforce, Inc. is looking for an Agentforce Engineer to enhance customer interactions by embedding AI-driven solutions into its platforms. The role involves designing and deploying intelligent agents while collaborating with cross-functional teams to ensure optimal implementations and customer satisfaction. Ideal candidates will have strong Salesforce knowledge, technical skills, and a passion for AI technologies.

Qualifications

• Extended experience with cloud based technologies and architecture principles.
• Expert knowledge of Salesforce, Agentforce, and AI.
• Hands-on experience integrating Large Language Models (LLMs) or AI services.

Responsibilities

• Lead end-to-end design and deployment of Agentforce agents within Salesforce.
• Optimize agent performance and user experience based on feedback.
• Build and maintain technical documentation for internal and customer use.

Skills

Customer-focused

Communication

Collaboration

Proactive Thinking

Technical Integration

Education

Salesforce Certifications (Advanced Admin, Service Cloud, Data Cloud, Agentforce, Sales Cloud)

Tools

Salesforce Flow

Lightning Web Components (LWC)

Apex

Salesforce APIs

Agent Studio

Job description

We are seeking a skilled technical professional to join our team as an Agentforce Engineer. In this role, you will be at the forefront of embedding intelligent AI-powered agents into Salesforce environments, enhancing customer interactions, automating complex business processes, and optimizing user experiences. This role uniquely combines your Salesforce expertise, business process reengineering skills, and passion for AI/Agentic-driven solutions.

You will partner closely with customers, internal account teams, product experts, and cross-functional stakeholders to translate complex business needs into AI-driven Salesforce agents that deliver tangible, measurable business outcomes. You will analyze requirements, design and implement intelligent Agentforce-powered agents within Salesforce, and continuously optimize the experience & performance to drive business value and consumption.

As a trusted advisor and advocate, the Agentforce Engineer will be the primary point of contact to assist customers in understanding, utilizing, and implementing Agentforce. You will partner with the account team, focusing on the customer's business goals to enhance their implementation, adoption, and maximize their Agentforce investment. The Agentforce Engineer maintains awareness of the customer's key events, needs, potential risks, and value drivers. You will operate hands-on within customer environments to create, deploy, and optimize agents, developing a deep technical understanding of their Agentforce implementation.

The ideal candidate is customer-focused, self-driven, and excels in communication and collaboration. They should enjoy building relationships and quickly adapting to new technologies.

This role suits individuals with strong technical skills who want to grow their careers at Salesforce and work with autonomous agent technologies. They will be the primary contact for helping customers activate, use, and expand Agentforce in their organizations.

Responsibilities:

• Assess technical and business readiness and map organizational processes through direct customer engagement

• Lead the end-to-end design, configuration, customization, and deployment of Agentforce agents within Salesforce; building agents that meet compliance requirements, business logic, and customer experience goals

• 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 (e.g., legal reviews, AI council), and software development lifecycle best practices.

• Define and orchestrate agent actions, configure and maintain each agent’s topics, and create and optimize prompt engineering strategies to improve agent performance, relevance, and accuracy

• Build and maintain guardrails to govern agent behavior, ensuring safe, compliant, and brand-aligned responses, including risk mitigation, escalation paths, constraints, and tone-of-voice calibration

• Implement and configure leading large language models (LLMs) like GPT-4 for Salesforce agents

• Perform testing and refinement in customer environment throughout deployment to optimize agent performance

• Track performance metrics and user feedback; execute iterative improvements based on performance metrics to grow Agentforce consumption

• Implement feedback and collaborate actively with Product organization before, during, and after agent deployments; execute 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; create and maintain 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 customers can self-sustain their Agentforce implementation.

• Exceptional communication and presentation skills with demonstrated ability to communicate and influence effectively at all levels of the organization, including executive and C-level

• Ability to explain complex technical concepts in business-friendly terms to customers, then explain customer needs to internal partners.

Minimum Requirements:

• Extended experience with cloud based technologies and architecture principles

• Advanced or expert knowledge of Salesforce and Agentforce and AI

• Experienced with Data Cloud or similar data integration platforms

• Other Salesforce Certs 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

• Demonstrated ability to grasp and learn new business models and technology paradigms

• Cloud technologies and low code integration/automation solutions

• Consistent proactive thinking and the desire to self-start on learning and applying new technologies.

• Ability to design scalable solutions for complex business requirements.

• Skilled in debugging, optimizing, and ensuring the reliability of integrated AI-Salesforce solutions.

• Strong proficiency in Salesforce Flow, Lightning Web Components (LWC), Apex, Salesforce APIs, and Agent Studio

Preferred Requirements:

• Familiarity with building Einstein Bots or Agentforce agents is a major plus.

• Experience deploying conversational AI solutions within regulated or highly sensitive environments (e.g., healthcare, finance).a