Forward-Deployed AI Engineer for Enterprise Orchestration

Leadout Capital

Greater London

On-site

GBP 90,000 - 130,000

Full time

4 days ago
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Job summary

Leadout Capital seeks a Forward Deployed Engineer focused on Agentforce Operations. You will design, build, and deploy enterprise-grade agentic AI solutions inside customer environments, bridging AI agents with ERP, data clouds, and enterprise apps.

You’ll work in an agile pod with a Deployment Strategist and Specialized AI Engineers, shipping production code from day one. You will implement agent communication protocols, grounding systems, and API pipelines, using tools like MuleSoft, Docker,

Qualifications

  • 3+ years of software engineering or technical delivery experience.
  • Proficient in at least one modern language: Python, JavaScript/TypeScript, Java, or Apex.
  • Hands-on AI & grounding expertise with LLM orchestration and RAG pipelines.
  • API design experience (REST/SOAP/webhooks) and agent protocols (MCP, tool calling).
  • Process orchestration and API-led connectivity using MuleSoft or middleware.
  • Data modeling, schema design, and asynchronous messaging patterns.
  • Executive-level architecture whiteboarding with CTOs/VPs while coding.
  • Familiarity with automation platforms (Pega, UiPath, RPA) and other enterprise AI platforms.
  • Experience with integrated enterprise apps (Workday, Coupa, Jira, Slack) and deployment infra (Kafka, EventBridge, Service Bus, Docker, Kubernetes, Terraform).
  • Knowledge of data governance (Informatica, Collibra) and ops platforms (Manhattan, Blue Yonder, Kinaxis).
  • Understanding of enterprise security, IAM, OAuth, data privacy, and auditing.
  • Willingness to travel 25-30% for on-site deployment.

Responsibilities

  • Build, configure, and deploy complex multi-agent orchestration workflows using AFO.
  • Implement agent communication protocols and context sharing standards (MCP).
  • Design real-time data grounding systems with RAG and vector databases.
  • Develop APIs and integration pipelines to connect AFO/Agentforce to ERP, CRM, and data clouds.
  • Leverage Cursor, Claude, and Vibes to move from architecture to production code quickly.
  • Ship telemetry, ETL/ELT pipelines, and real-time dashboards for health and outcomes.
  • Bridge frontline deployments with Salesforce product/engineering for edge-case feedback.

Skills

Python
JavaScript/TypeScript
Java
Apex
LLM orchestration
RAG pipelines
API design (REST/SOAP/webhooks)
MCP
MuleSoft
Data modeling
Asynchronous integration
Workday/Coupa/Jira/Slack
Docker/Kubernetes
Terraform
AAI observability
Executive communication

Tools

MuleSoft
Docker
Kubernetes
Terraform
Snowflake
Databricks
GraphQL

Job description

Leadout Capital seeks a Forward Deployed Engineer focused on Agentforce Operations. You will design, build, and deploy enterprise-grade agentic AI solutions inside customer environments, bridging AI agents with ERP, data clouds, and enterprise apps.

You’ll work in an agile pod with a Deployment Strategist and Specialized AI Engineers, shipping production code from day one. You will implement agent communication protocols, grounding systems, and API pipelines, using tools like MuleSoft, Docker,

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