Forward Deployed Engineer - Agentforce Operations (Regrello)

Salesforce.com, inc.; Sydney; Hybrid; AUD 210,000 - 270,000; Full time

Job summary

Salesforce.com, inc. seeks a seasoned Forward Deployed Engineer to design, build, and deploy enterprise-grade agentic AI solutions inside customer environments.

You will connect advanced AI agents to enterprise systems, write production code, and implement real-time grounding and multi-agent workflows. You will collaborate with customers on process mapping, configure agent orchestration, and deliver end-to-end deployment from day one, including API integrations with Salesforce Data Cloud and ERP

Qualifications

• 7+ years of professional experience in engineering roles involving AI and enterprise integrations.
• Hands-on experience with LLM orchestration, prompt tuning, and RAG pipelines.
• Experience with API design (REST/SOAP/webhooks) and actor protocols (MCP, tool-calling).
• Ability to bridge AI agents with legacy ERP systems via middleware.

Responsibilities

• Design, build, and deploy enterprise-grade agentic AI solutions inside customer environments.
• Develop real-time data grounding systems and multi-agent communication protocols.
• Implement API integrations with Salesforce Data Cloud, data warehouses, and ERPs.
• Collaborate with customers to map processes to agentic workflows and deliver end-to-end deployments.

Skills

AI orchestration

Prompt tuning

Multi-Agent Systems

API design

REST/SOAP/webhooks

MuleSoft integration

Education

Bachelor’s degree in a technical field

Tools

MuleSoft

Snowflake

Databricks

GraphQL

Job description

Forward Deployed Engineer - Agentforce Operations (Regrello)

As a Forward Deployed Engineer (FDE) focusing on Agentforce Operations (Regrello) , you are a hands-on Technical Builder who designs, constructs, and deploys enterprise-grade agentic AI solutions directly inside customer environments. Agentforce Operations (formerly Regrello) converts manual, document-driven processes into agent-executed workflows across teams and systems.

You will serve as the crucial link connecting advanced AI agents to the broader enterprise technology landscape. You will write production code, architect real-time data grounding systems, perform prompt engineering, manage multi-agent communication protocols, and deploy automated supply chain and back-office workflows into production from day one.

You'll thrive here if you can understand and map a customer's process, model it as agentic workflows, and build the thing yourself.

What You'll Actually Be Building

Workflow & Multi-Agent Orchestration: Build, configure, and optimize complex operational workflows using Agentforce Operations (Regrello) , 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 RAG (Retrieval-Augmented Generation) , 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 (Data 360), cloud warehouses (Snowflake, Databricks), and core ERPs (SAP, Oracle, NetSuite) via MuleSoft or custom middleware.

AI-Assisted Engineering: Leverage modern AI tools ( Cursor, Claude, Vibes ) embedded directly into your daily developer workflow to move from architecture sketch to deployable code in days, not months.

Telemetry & Observability: Model data, ship ETL/ELT pipelines, and build real-time agent performance dashboards to track execution health, fallback triggers, and business outcomes.

Field-to-Product Feedback: Serve as the direct connective bridge between frontline customer deployments and core Salesforce product/engineering teams to feed edge cases and gaps back into platform feature roadmaps.

Required Qualifications

7+ years professional experience

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 tools like MuleSoft or custom middleware to bridge AI agents with legacy ERP systems.

Solid understanding of data modeling, schema design, and asynchronous message integration patterns.

Familiarity with automation platforms (for example, 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 (for example, Workday, Coupa, Jira, Slack, major warehouse or transportation management systems)

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).

Willingness to travel 25-30% for on-site deployment with key enterprise accounts.

Preferred Qualifications

Specific domain expertise in Supply Chain, Manufacturing, or Logistics Execution.

Experience within the Salesforce Ecosystem (Agentforce Specialist, Data Cloud, Apex, Flow, or Headless architectures).

Hands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery).

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.

At Salesforce, we strive to create an accessible and inclusive experience for all candidates.

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodation Request Form .

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Equal Opportunity Statement.

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.