Forward Deployed Engineer – Salesforce Agentforce | Consumer Lending
Role Description
McLean, Virginia 22043 Posted October 3rd, 2026
Job Type: Full Time
Job Category: IT
Job Description
Forward Deployed Engineer – Salesforce Agentforce | Consumer Lending
Location: Mclean, VA
Employment Type: Full-Time
Work Arrangement: Onsite
Job Summary
We are seeking a hands-on Forward Deployed Engineer (FDE) with strong Salesforce and AI experience to design, develop, and deploy agentic AI solutions using Salesforce Agentforce for the consumer lending domain.
The ideal candidate will work closely with business stakeholders, product teams, and delivery teams to understand operational challenges and transform them into scalable, production-ready solutions that improve efficiency, quality, and member/customer experience across front-, middle-, and back-office processes.
Key Responsibilities
- Design, build, test, and deploy AI-powered agentic solutions using Salesforce Agentforce.
- Translate business and operational requirements into scalable technical solutions.
- Work directly with business stakeholders to identify opportunities for AI-driven automation and process improvement.
- Configure and develop Agentforce agents, topics, actions, instructions, guardrails, and integrations.
- Integrate Salesforce with enterprise systems using MuleSoft and APIs.
- Work with Salesforce Financial Services Cloud and Data Cloud/Data 360 to leverage customer and lending data.
- Develop proof-of-concepts and take successful AI solutions from prototype through production deployment.
- Collaborate with architects, developers, QA teams, product owners, and business stakeholders.
- Build secure, reliable, and maintainable solutions suitable for enterprise financial-services environments.
- Monitor deployed solutions and continuously improve agent performance and business outcomes.
- Support CI/CD and release management using tools such as AutoRABIT.
Required Skills
- Hands-on experience with Salesforce Agentforce and agentic AI solutions.
- Strong Salesforce development/configuration experience.
- Experience with Apex, Lightning Web Components (LWC), APIs, and Salesforce integrations.
- Experience with Salesforce Financial Services Cloud.
- Strong experience with Data Cloud / Data 360.
- Experience with MuleSoft and enterprise integrations.
- Experience taking AI solutions from prototype/POC to production.
- Strong understanding of AI agents, automation, workflows, and enterprise AI use cases.
- Experience working directly with business stakeholders and translating business requirements into technical solutions.
- Strong knowledge of software development lifecycle, testing, deployment, and production support.
Preferred Qualifications
- Previous experience in banking, consumer lending, financial services, or credit unions.
- Salesforce Agentforce Specialist certification.
- Salesforce Platform Developer certification.
- Experience with AutoRABIT for Salesforce DevOps/release management.
- Experience implementing AI solutions across front-office, middle-office, and back-office operations.
- Strong understanding of lending processes such as loan origination, servicing, underwriting, collections, and member/customer support.
Required Skills
DevOps Engineer Senior Email Security Engineer
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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