Agentforce Engineer Director
Agentforce Engineer Director

Agentforce Engineer Director

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the design and deployment of AI-powered agents in Salesforce to enhance customer experiences.
  • Company: Salesforce is a leading company revolutionising business with AI, data, and CRM solutions.
  • Benefits: Enjoy flexible work options, career growth opportunities, and a culture that values innovation and inclusivity.
  • Why this job: Join a dynamic team at the forefront of AI technology, making a real impact on businesses worldwide.
  • Qualifications: Experience with Salesforce, AI technologies, and cloud-based solutions is essential; strong communication skills are a must.
  • Other info: Salesforce promotes equality and inclusivity, welcoming diverse applicants to apply.

The predicted salary is between 43200 - 72000 £ per year.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

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).

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process.

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Agentforce Engineer Director employer: Greg's List - DC

Salesforce is an exceptional employer that champions innovation and inclusivity, providing a dynamic work environment where employees can thrive as Trailblazers. With a strong focus on career growth, employees are empowered to develop their skills in cutting-edge AI technologies while collaborating with diverse teams to drive meaningful change for customers. Located in a vibrant community, Salesforce offers unique benefits such as flexible working arrangements, comprehensive wellness programmes, and a commitment to social responsibility, making it an ideal place for those seeking a rewarding and impactful career.
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Contact Detail:

Greg's List - DC Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Agentforce Engineer Director

✨Tip Number 1

Familiarise yourself with Salesforce's AI and Agentforce capabilities. Understanding how these technologies work will not only help you in interviews but also demonstrate your genuine interest in the role.

✨Tip Number 2

Network with current Salesforce employees or join relevant online communities. Engaging with professionals in the field can provide insights into the company culture and expectations, which can be invaluable during your application process.

✨Tip Number 3

Prepare to discuss real-world applications of AI in customer success scenarios. Think of examples where you've used technology to enhance user experiences or streamline processes, as this aligns closely with the responsibilities of the role.

✨Tip Number 4

Stay updated on the latest trends in AI and cloud technologies. Being knowledgeable about recent advancements will not only impress your interviewers but also show that you're proactive about your professional development.

We think you need these skills to ace Agentforce Engineer Director

Salesforce Expertise
AI and Machine Learning Knowledge
Business Process Reengineering
Technical Documentation Skills
Data Strategy and Governance
Prompt Engineering
Large Language Model Integration
Cloud Technologies Proficiency
Salesforce Flow and Apex Development
Debugging and Optimisation Skills
Customer Engagement and Relationship Building
Communication and Presentation Skills
Problem-Solving Skills
Adaptability to New Technologies
Experience with AI Orchestration Frameworks

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Agentforce Engineer Director role. Focus on your technical expertise in Salesforce, AI, and cloud technologies, as well as any experience with conversational AI or intelligent agents.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI-driven solutions and your understanding of customer success. Use specific examples from your past experiences to demonstrate how you can contribute to Salesforce's mission and values.

Highlight Key Achievements: In your application, emphasise key achievements that demonstrate your ability to lead projects, optimise processes, and enhance customer experiences. Quantify your successes where possible to provide tangible evidence of your impact.

Showcase Communication Skills: Since the role requires exceptional communication abilities, ensure your application reflects your capacity to explain complex technical concepts in simple terms. Consider including examples of how you've effectively communicated with both technical and non-technical stakeholders.

How to prepare for a job interview at Greg's List - DC

✨Understand the Role

Before your interview, make sure you thoroughly understand the responsibilities of the Agentforce Engineer Director role. Familiarise yourself with Salesforce's AI capabilities and how they integrate with customer success. This will help you articulate how your skills align with their needs.

✨Showcase Your Technical Skills

Be prepared to discuss your experience with cloud technologies, Salesforce, and AI solutions. Highlight specific projects where you've successfully implemented intelligent agents or automated processes, as this will demonstrate your hands-on expertise.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving abilities. Think of examples where you've had to analyse complex business needs and translate them into technical solutions, particularly in relation to AI-driven implementations.

✨Emphasise Communication Skills

As a key point of contact for customers, strong communication is essential. Be ready to explain how you've effectively communicated complex technical concepts to non-technical stakeholders in previous roles, showcasing your ability to bridge the gap between technology and business.

Agentforce Engineer Director
Greg's List - DC
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