Develop Agentforce solutions: Configure agent instructions| actions| prompts| and workflows; develop supporting components using Apex| Lightning Web Components| and Salesforce Flow. Role Descriptions: Understand lending workflows: Partner with lending operations and Business Analysts to identify manual activities| map exceptions| and translate requirements into implementable AI solutions.
Numbers & Facts
Location
McLean, VA
Salary
$60–$65 Per Hour
Description
Job ID: 111767-1
Job Title: Salesforce Agentforce AI Engineer (Banking/Lending)
Location: McLean, VA - 100% onsite FROM DAY 1
Duration: 6 months (Extendable)
Pay Rate: $50-$65/hr on W2
Role Descriptions:
Understand lending workflows: Partner with lending operations and Business Analysts to identify manual activities| map exceptions| and translate requirements into implementable AI solutions.
Prototype and validate: Build working prototypes| demonstrate solutions to business users| incorporate feedback| and establish measurable acceptance criteria.
Develop Agentforce solutions: Configure agent instructions| actions| prompts| and workflows; develop supporting components using Apex| Lightning Web Components| and Salesforce Flow.
Integrate enterprise systems: Connect agents with lending platforms| document repositories| core banking systems| and external services through MuleSoft and APIs.
Enable reliable AI execution: Ground responses in approved enterprise data| validate agent outputs| and implement error handling| human handoffs| and approval checkpoints.
Deliver secure solutions: Implement access controls| protection of sensitive member information| and audit trails in partnership with architecture and security teams.
Test and improve: Work with QA to evaluate response accuracy| action correctness| exception scenarios| prompt injection| integration failures| and performance.
Own engineering delivery: Drive development| defect resolution| deployment| and post-launch stabilization.
Prepare technical evidence for architecture| security| testing| and release tollgates| coordinating approvals with designated owners.
Measure and scale: Monitor agent performance| processing time| manual effort| adoption| and operating cost.
Create reusable components| documentation| and support runbooks
Required qualifications
5+ years of software engineering experience| including strong Salesforce development experience.
Hands-on implementation experience with Salesforce Agentforce| Prompt Builder| Apex| LWC| Flow| and REST APIs.
Practical understanding of generative AI| prompt engineering| retrieval-augmented generation| tool calling| and agent evaluation.
Experience delivering production integrations and troubleshooting issues across connected systems.
Familiarity with consumer lending processes| such as application intake| document collection| verification| servicing| and exception management.
Experience with Git| automated testing| CI/CD| and Salesforce deployment practices.
Strong communication and problem-solving skills| with the ability to work directly with business users and deliver with limited oversight.
Preferred qualifications
Experience with Salesforce Financial Services Cloud| Data Cloud/Data 360| MuleSoft| and AutoRABIT.
Previous delivery experience in banking or credit unions.Salesforce Agentforce Specialist or Platform Developer certification.Demonstrated experience taking an enterprise AI solution from prototype to production
Skills: Salesforce Administration and Functional Design, Salesforce AI, General Banking
Experience Required: 10 & Above
Company Benefits & Culture
• Inclusive and diverse work environment
• Opportunities for professional growth and development
• Comprehensive health and wellness benefits