Senior Salesforce AI Engineer for DoT Modernization

Tetra Tech; McLean (VA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Company benefits package

Educational assistance

Job summary

Halvik Corp is seeking a hands-on Senior Salesforce Developer to design, develop, and deploy agentic AI solutions for the DOT ACERS Salesforce modernization. You will collaborate with architects, BAs, QA, product owners, and scrum masters to deliver secure, high-quality AI solutions in a federal environment.

Responsibilities include agentforce configuration, AI agent development, Experience Cloud integration, and data cloud data injections with RAG pipelines.

Qualifications

• 8+ years software development experience with 5+ years Salesforce development.
• Hands-on with Agentforce, Prompt Builder, Apex, LWC, Flow, Data Cloud, and REST APIs.
• Eligible for Public Trust clearance.
• Excellent communication and problem-solving skills.

Responsibilities

• Design, develop, and deploy agentic AI solutions in a federal environment.
• Lead integration of Salesforce Agentforce, Data Cloud, and RAG pipelines.
• Architect secure external partner access via Experience Portals.
• Ensure code quality with 85%+ test coverage and CI/CD compliance.
• Collaborate with architects, PMs, QA, and operations across Dev/QA/UAT/Prod.
• Maintain technical documentation and support knowledge sharing.

Skills

Salesforce Agentforce

Apex

LWC

Prompt Builder

REST APIs

Data Cloud

RAG pipelines

Experience Cloud

CI/CD

DocuSign

Education

Bachelor's degree in CS/IS/Engineering

Tools

VS Code

Salesforce CLI

Git

Jira

Job description

Halvik Corp is seeking a hands-on Senior Salesforce Developer to design, develop, and deploy agentic AI solutions for the DOT ACERS Salesforce modernization. You will collaborate with architects, BAs, QA, product owners, and scrum masters to deliver secure, high-quality AI solutions in a federal environment.

Responsibilities include agentforce configuration, AI agent development, Experience Cloud integration, and data cloud data injections with RAG pipelines.