Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
Tailor your resume to this Agentforce Operations FDE role.
Rezi rewrites your resume against Salesforce's job description. Free.
Tailor your resume to this Agentforce Operations FDE role.
Rezi rewrites your resume against Salesforce's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Agentforce Operations FDE posting at Salesforce — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Agentforce Operations FDE posting at Salesforce — free, in seconds.
About the Role
As a Forward Deployed Engineer (FDE) focusing on Agentforce Operations, you are a hands-on Technical Builder who designs, constructs, and deploys enterprise-grade agentic AI solutions directly inside customer environments. AFO powers the multi-agent orchestration layer, transforming messy operational workflows, unstructured data (emails, PDFs, spec sheets), and legacy ERP logs into autonomous execution engines with humans in the loop. Operating in an agile deployment pod alongside a Deployment Strategist and Specialized AI Engineers, 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.
Responsibilities
- Build, configure, and optimize complex operational workflows using AFO, defining agent reasoning, tool-calling logic, and conditional execution loops.
- 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.
- 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.
- 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.
- 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.
- Model data, ship ETL/ELT pipelines, and build real-time agent performance dashboards to track execution health, fallback triggers, and business outcomes.
- 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.
Requirements
- 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 language: Python, JavaScript/TypeScript, Java, or Apex.
- Deep experience with 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 (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.
- 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.
Skills
- Python
- JavaScript/TypeScript
- Java
- Apex
- LLM orchestration
- Prompt tuning
- RAG pipelines
- Vector search indexes
- Knowledge base retrievers
- API design (REST/SOAP/webhooks)
- Agent protocols (MCP, tool calling, event-driven messaging)
- MuleSoft
- Custom middleware
- Data modeling
- Schema design
- Asynchronous message integration patterns
- Automation platforms
- Enterprise AI platforms
- Integrated enterprise applications
- Deployment infrastructure
- Data governance
- Master data systems
- Operational execution platforms
- Enterprise security
- Identity and access management
- OAuth
- Data privacy
- Audit logging
- Permissioning
- Secure tool execution
Location
- Remote
Work Type
- Full-time
Experience Level
- 3+ years of software engineering or technical delivery experience
Benefits
- AI agents accelerate your impact so you can do your best.
About the Company
- Salesforce is the #1 AI CRM, where humans with agents drive customer success together.
- Here, ambition meets action.
- Tech meets trust.
- Innovation isn’t a buzzword — it’s a way of life.
- The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
- Ready to level-up your career at the company leading workforce transformation in the agentic era?
- Agentforce is the future of AI, and you are the future of Salesforce.
Equal Opportunity
- Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.
- We believe in equality for all.
- We can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
- 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.
- We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme.
- We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role.
- Applicants are welcome to opt-in to the interview scheme as part of the application process.