Forward Deployed AI Engineer — Enterprise Orchestration

Salesforce.com, inc.; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Salesforce seeks a Forward Deployed Engineer focusing on Agentforce Operations to design and deploy enterprise AI solutions inside customer environments. You will build real-time grounding systems, manage agent communication, and integrate with Salesforce Data Cloud, ERP systems, and cloud data platforms.

You will also collaborate with Deployment Strategists and Specialized AI Engineers, write production code, and ensure scalable, enterprise-ready deployments from day one.

Qualifications

• 3+ years of software engineering or technical delivery experience, with at least one production AI, data engineering, or enterprise integration system deployed.
• Hands-on AI & Grounding Expertise: Deep experience with LLM orchestration, prompt tuning, and building RAG pipelines, vector search indexes, and knowledge base retrievers for enterprise data.
• Multi-Agent Systems & API Mastery: Practical experience with API design (REST/SOAP/webhooks) and modern agent protocols (e.g., MCP, tool calling, or event-driven messaging architectures).
• Expertise in process orchestration and API-led connectivity using MuleSoft or custom middleware to bridge AI agents with legacy ERP systems.
• Solid understanding of data modeling, schema design, and asynchronous message integration patterns.
• Strong executive presence - ability to whiteboard architecture with enterprise CTOs and VPs while writing production code alongside lead architects.
• Familiarity with automation platforms (Pega, UiPath, Automation Anywhere, ServiceNow, Appian, Microsoft Power Platform) and competing enterprise AI and agent platforms (Microsoft Copilot Studio, Google Vertex AI, AWS Bedrock, IBM watsonx, Palantir AIP, ServiceNow AI Agents).
• Experience with integrated enterprise applications (Workday, Coupa, Jira, Slack, major warehouse or transportation management systems) and deployment infrastructure (Kafka, AWS EventBridge, Azure Service Bus, GitHub, Docker, Kubernetes, Terraform).
• Knowledge of data governance and master data systems (Informatica, Collibra, SAP MDG, Reltio) and operational execution platforms (Manhattan Associates, Blue Yonder, Kinaxis, Oracle transportation management).
• Understanding of enterprise security and governance: Identity and access management, OAuth, data privacy, audit logging, permissioning, and secure tool execution.
• Willingness to travel 25-30% for on-site deployment with key enterprise accounts.

Responsibilities

• Build, configure, and deploy Agentforce workflows and multi-agent orchestration within customer environments.
• Design and implement agent communication protocols and MCP-based context sharing across agents.
• Develop real-time data grounding systems using RAG, vector databases, and knowledge bases.
• Create and maintain APIs and integration pipelines connecting AFO/Agentforce to Salesforce Data Cloud, data warehouses, and ERPs via MuleSoft or middleware.
• Write production-grade code and deploy AI-enabled features in customer environments from day one.
• Collaborate with Deployment Strategists and Specialized AI Engineers to solve complex operational challenges.

Skills

LLM orchestration

API design

Data grounding

Multi-agent systems

Prompt tuning

Production code

Real-time data

Tools

MuleSoft

Docker

Kubernetes

REST

GraphQL

Webhooks

Job description

Salesforce seeks a Forward Deployed Engineer focusing on Agentforce Operations to design and deploy enterprise AI solutions inside customer environments. You will build real-time grounding systems, manage agent communication, and integrate with Salesforce Data Cloud, ERP systems, and cloud data platforms.

You will also collaborate with Deployment Strategists and Specialized AI Engineers, write production code, and ensure scalable, enterprise-ready deployments from day one.