Salesforce is seeking an experienced Agentforce Engineer to spearhead the implementation of AI-powered agents within Salesforce environments. This role represents a unique intersection of Salesforce expertise, business process engineering, and cutting-edge AI technology.
The position demands a technical professional who will be responsible for embedding intelligent AI-powered agents into Salesforce environments, working to enhance customer interactions and automate complex business processes. The role involves close collaboration with customers, internal teams, and stakeholders to translate business requirements into practical AI-driven solutions.
As an Agentforce Engineer, you'll be the primary technical advisor for customers implementing Agentforce solutions. Your responsibilities will span from initial assessment and design to deployment and optimization of AI agents. You'll work hands-on with large language models like GPT-4, implement guardrails for agent behavior, and ensure all solutions meet compliance requirements and business objectives.
The ideal candidate brings 5+ years of cloud technology experience, advanced knowledge of Salesforce platforms, and strong understanding of AI concepts, particularly in conversational AI and intelligent agents. You'll need to demonstrate expertise in Salesforce Flow, Lightning Web Components, Apex, and Agent Studio, along with experience in AI orchestration and prompt engineering.
This role offers the opportunity to work at the forefront of AI implementation within one of the world's leading enterprise software companies. You'll be instrumental in shaping how organizations leverage AI through Salesforce's platform, working with cutting-edge technology while solving complex business challenges. The position provides exposure to various industries and the chance to impact how businesses interact with AI-powered solutions.
Working at Salesforce means joining a company known for its innovative culture and commitment to customer success. You'll be part of a team that's driving the future of enterprise AI implementation, with opportunities to influence product development and best practices in this rapidly evolving field.