The Work:

The Salesforce Agentforce Architect will architect and lead the design and delivery of AI agent solutions on Salesforce Agentforce. Defines agent architecture and translates business requirements into reliable, governed, production-grade agents. Owns the technical approach for agent build, integration, testing, monitoring, and continuous accuracy tuning.

Key Responsibilities: 

•  Lead Agentforce solution design from discovery through go-live and hypercare, owning the end-to-end technical architecture.
• Lead complex Marketing Cloud development projects and technical initiatives from conception to completion
• Design grounding and prompt strategies using Prompt Builder, Data Cloud/RAG, and retrieval patterns; engineer prompts for accuracy and hallucination control.
• Establish the testing and evaluation approach — Agentforce Testing Center, evaluation specs, accuracy/regression tuning.
• Build interaction logging, monitoring, and performance-tracking to support adoption and continuous improvement.
• Design reusable actions, prompt templates, and frameworks to accelerate delivery across use cases.
• Serve as technical lead in client engagements, translating business requirements into agent solutions and advising stakeholders on feasibility and scope.

This is a hybrid role in Chesterbook, PA and will require 3 days per week in the office. May consider qualified candidates in Orlando, FL.

What you need:

• Minimum 6 years of Salesforce Platform experience including hands-on Agentforce / Einstein AI Delivery
• Minimum 2 years of experience with Salesforce Marketing Cloud
• Salesforce Agentforce Specialist Certification
• Salesforce Marketing Cloud Developer or Consultant Certification
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience) 

Bonus Points If:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
• Strong Salesforce platform development: Apex, LWC, Flow, SOQL, and platform integration (REST/Platform Events).
• Hands-on Agentforce / Einstein AI: agents, topics, actions, Prompt Builder, Model Builder.
• Experience with Data Cloud 
• Knowledge of enterprise architecture patterns and API/integration methodologies.
• Proficiency with Git, JIRA, CI/CD, and modern Salesforce DevOps (SFDX, scratch/dev orgs).
• Understanding of AI/ML applications within marketing cloud. 

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 10/08/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

Role Location Annual Salary Range

California $73,800 to $218,800

Colorado $73,800 to $189,000

Connecticut $73,800 to $189,000

District of Columbia $78,500 to $201,300

Illinois $68,300 to $189,000

Maine $62,800 to $161,000

Maryland $73,800 to $189,000

Massachusetts $73,800 to $201,300

Minnesota $73,800 to $189,000

New York $68,300 to $218,800

New Jersey $78,500 to $218,800

Ohio $68,300 to $175,000

Virginia $68,300 to $201,300

Washington $80,200 to $201,300