Location
Central London

Hours
Full Time

Salary
Negotiable

About the Role
As a Forward Deployed Engineer (FDE) focusing on Agentforce Operations, you will be a hands-on Technical Builder designing, constructing, and deploying enterprise-grade agentic AI solutions directly inside customer environments. Agentforce Orchestration (AFO) powers the multi-agent orchestration layer, transforming complex operational workflows, unstructured data, and legacy ERP logs into autonomous execution engines with humans in the loop. Working in an agile deployment pod alongside a Deployment Strategist and Specialized AI Engineers, you will connect advanced AI agents to the broader enterprise technology landscape. Your responsibilities include writing production code, architecting real-time data grounding systems, performing prompt engineering, managing multi-agent communication protocols, and deploying automated supply chain and back-office workflows into production from day one.

What You'll Actually Be Building
- Workflow & Multi-Agent Orchestration: Build, configure, and optimize complex operational workflows using AFO, defining agent reasoning, tool-calling logic, and conditional execution loops.
- Agent Communication Protocols: Implement modern agent-to-agent communication standards and the Model Context Protocol (MCP) to govern context sharing, task hand-offs, and tool execution across specialized AI agents.
- Enterprise AI Grounding Systems: Architect, build, and maintain real-time data grounding infrastructure using Retrieval-Augmented Generation (RAG), vector databases, search indexes, and knowledge bases to supply agents with accurate enterprise context.
- Enterprise Integration & API Management: Develop and maintain custom APIs (REST, GraphQL, webhooks) and integration pipelines connecting AFO/Agentforce to Salesforce Data Cloud, cloud warehouses (Snowflake, Databricks), and core ERPs (SAP, Oracle, NetSuite) via MuleSoft or custom middleware.
- AI-Assisted Engineering: Leverage modern AI tools embedded directly into your daily developer workflow to accelerate development from architecture sketch to deployable code.
- Telemetry & Observability: Model data, build ETL/ELT pipelines, and create real-time agent performance dashboards to track execution health, fallback triggers, and business outcomes.
- Field-to-Product Feedback: Act as the direct bridge between frontline customer deployments and core Salesforce product/engineering teams to feed edge cases and gaps back into platform feature roadmaps.

Experience
- Minimum 3 years of software engineering or technical delivery experience with at least one production AI, data engineering, or enterprise integration system deployed to production.
- High proficiency in at least one modern programming language such as Python, JavaScript/TypeScript, Java, or Apex.
- Deep expertise in LLM orchestration, prompt tuning, and building RAG pipelines, vector search indexes, and knowledge base retrievers for enterprise data.
- Practical experience with API design (REST, SOAP, webhooks) and modern agent protocols including MCP, tool calling, or event-driven messaging architectures.
- Strong background in process orchestration and API-led connectivity using MuleSoft or custom middleware to integrate AI agents with legacy ERP systems.
- Solid understanding of data modeling, schema design, and asynchronous message integration patterns.
- Familiarity with automation platforms (Pega, UiPath, Automation Anywhere, ServiceNow, Appian, Microsoft Power Platform) and competing enterprise AI/agent platforms.
- Experience with integrated enterprise applications (Workday, Coupa, Jira, Slack) 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.
- Understanding of enterprise security and governance including 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.

About you
- Strong executive presence with the ability to whiteboard architecture with enterprise CTOs and VPs while writing production code alongside lead architects.
- Passionate about innovation and driving AI-powered transformation in enterprise environments.
- Collaborative team player comfortable working in agile pods and cross-functional teams.
- Adaptable and eager to learn new technologies and methodologies in a fast-paced environment.

Qualifications
- Preferred domain expertise in Supply Chain, Manufacturing, or Logistics Execution.
- Experience within the Salesforce Ecosystem including Agentforce Specialist, Data Cloud, Apex, Flow, or Headless architectures.
- Hands-on experience with cloud data platforms such as Snowflake, Databricks, or BigQuery.
- Proven ability to create reusable accelerators, reference architectures, connectors, and implementation playbooks from customer deployments.