Description

The Sr. Integration Architect, Agentforce Supply Chain is a hands-on, domain expert responsible for architecting, designing, and governing the complex integration solutions that power major enterprise transformations within the Supply Chain and Manufacturing space.

This role focuses on integrating the Agentforce Agents to critical core systems (ERP, PLM, CRM) to ensure seamless data flow, process orchestration, and long-term customer success. The Architect advises, designs, and performs architecture work, ensuring that all integration solutions adhere to industry best practices and shape the post-implementation customer success landscape.

You will partner directly with clients, Delivery Managers, Solution Architects, and Account Teams to define the technical pathway for integrating the Salesforce ecosystem with the client's complex Backoffice infrastructure.

Key Responsibilities

I. Integration Architecture & Delivery Leadership

Solution Design & Best Practices: Advise, design, and manage enterprise transformation projects, architecting integration solutions in accordance with industry best practices and Salesforce Architecture methodologies.
Hands-on Architecture: Perform hands-on architecture work, translating customer requirements into technical specifications, integration patterns, and secure system designs.
System Proficiency: Maintain proficiency in core systems essential to the Supply Chain and Manufacturing domain (e.g., ERP, PLM, custom systems, CRM), understanding their data models, integration capabilities, and connectors.
Mulesoft Proficiency: Leverage required Mulesoft experience to design and govern API-led connectivity strategies, ensuring reusable assets and a secure integration layer.
Technical Governance: Lead key discussions around change programs, providing governance and ensuring adherence to application lifecycle management (ALM) principles.

II. Agentic Enterprise & Technical Innovation

Agentic Integration: Design architectures that enable Agentic AI and Generative AI capabilities by ensuring secure, reliable data pipelines and API access between Agentforce and core enterprise systems.
Data360 Integration: Utilize Salesforce Data360 for unifying, harmonizing, and activating customer data, preparing and enriching data for use in Generative AI and agent-based applications.
Orchestration: Apply advanced proficiency Agentforce and core systems for orchestrating complex business processes, especially those involving AI agents and automated workflows across multiple systems.
Technical Consulting: Determine which Salesforce and third-party technologies to leverage in customer-driven architectures based upon product knowledge, industry experience, and standard integration frameworks.

Required Skills and Qualifications

Technical Translation: Ability to understand business & IT department requirements, translate those business needs into a compelling solution, and present recommendations to executive, technical, and business audiences.

Enterprise Software: Deep knowledge of enterprise software applications and their delivery.
Integration: Expertise in application lifecycle management, process orchestration, and enterprise integration principles and tools.
Security: Strong grasp of network, application, and information security principles.
Data & Code Fundamentals:
- Coding & Scripting: Some coding experience and a willingness to work with code (Apex, Node, Go, R, Java or C#, JavaScript, Python, Ruby, etc.).
- Data & Systems: Solid understanding of database and data management fundamentals, web and mobile application development, and system architecture.

Professional & Strategic Competencies

Problem Solving: Strategic problem solver, thought leadership, and comfort communicating with executive audiences.
Customer Communication: Strong oral, written, presentation, and interpersonal communication and relationship skills.
Continuous Learning: Lifelong learner, inquisitive, practical, and passionate about technology and sharing knowledge.
Education: Bachelor’s or Master's degree in Computer Science, MIS, Software Engineering, Electrical Engineering, Data Science, Management Information Systems, other STEM degrees or equivalent work experience. Graduate study is a plus.
Travel: Willing and able to travel domestically.

Agentic AI & Generative AI Platform Skills

The ideal candidate will have hands-on experience with the following skills, which are critical for designing modern, AI-powered solutions in this domain:

Agentic AI: Direct experience with developing, deploying, and managing agentic AI frameworks. This includes proficiency with Agentforce and an understanding of how to build autonomous agents that can perform tasks, make decisions, and interact with various systems.
Prompt Engineering & Large Language Models (LLMs): Proven ability to design, refine, and optimize prompts to control the behavior of generative AI models.
Generative AI Architecture: Experience in architecting and integrating generative AI solutions into enterprise systems (API gateways, model management platforms, data pipelines).

Preferred Qualifications

8-10 years of experience in IT architecture, solution engineering, or a related field, with 5+ years dedicated to integration architecture in a customer-facing or internal delivery role.
Mulesoft Certification (Integration Architecture Designer is a significant plus).
Experience in roles that required working hands-on to build, implement, administrate, or maintain enterprise software, specifically in the Supply Chain or Manufacturing domain.
Understanding of risk mitigation, compliance, and security in the context of enterprise software.
Knowledge of the Salesforce platform, including relevant Salesforce Certifications and/or Trailhead Superbadges is a plus.

*LI-Y

For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.