Salesforce
Agentic Data Specialist (Multiple Levels)
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
About The Role We are seeking technically adept and innovative Agentic Data Specialists to join our Forward Deployed Engineering Team. You will serve as the crucial link between our advanced AI agents and the wider enterprise technology landscape, designing, building, and managing the data and integrations that enable our Agentforce agents to take meaningful, autonomous actions across various business systems.
As an
Agentic Data Specialist , you will orchestrate a collaborative network of specialized AI agents, ensuring they work together seamlessly to solve complex business problems.
Your Impact
Data Flow and Transformation: Manage the real‑time flow of data to and from the AI agent. Implement necessary data transformations to ensure compatibility between different system formats and schemas.
Architect AI Grounding Systems: Design, build, and maintain cutting‑edge AI data integration technologies, including RAG (Retrieval‑Augmented Generation), vector databases, search indexes, and knowledge bases, to ground Agentforce solutions with accurate, real‑time enterprise data.
Orchestrate Multi‑Agent Systems & Communications: Define the technical architecture and protocols (including Model Context Protocol and Agent‑to‑Agent Communication) to govern, monitor, and ensure efficient collaboration among specialized AI agents.
System & Agent Integration Architecture: Design and implement robust, scalable, and secure data integration patterns that connect Agentforce to a wide range of enterprise applications and enable communication between different AI agents.
Define LLM Strategy: Leverage comprehensive knowledge of the LLM (Large Language Model) landscape to evaluate, select, and optimize foundational and frontier models for ideal application scenarios within enterprise AI deployments.
Ensure Salesforce Data Governance: Apply deep data management expertise to ensure the secure integration, transformation, and governance of structured and unstructured data within the Salesforce ecosystem (CRM, Data Cloud) and external systems.
Build Scalable and Secure Systems: Apply knowledge of message queues, event‑driven architecture, and distributed systems to build resilient workflows, while implementing and managing secure authentication and authorization protocols (OAuth, SAML).
API Development and Management: Develop, deploy, and maintain custom APIs (REST, SOAP, webhooks) to facilitate seamless data exchange and action execution between Agentforce and other systems.
Enable Workflow Automation: Collaborate with business analysts and AI specialists to translate complex business processes into automated, agent‑driven workflows. Implement the technical logic that enables agents to perform tasks like creating records, triggering notifications, and updating systems.
Troubleshooting and Optimization: Monitor the health and performance of integrations, proactively identifying and resolving issues. Continuously optimize integration workflows for speed, reliability, and efficiency.
Required Qualifications
5+ years of hands‑on experience in data engineering or integrations (e.g., Data Engineer, Data Architect or Data Scientist).
High level of proficiency with one or more programming/scripting languages (e.g., Python, Java, JavaScript).
Expertise in AI data integration, including RAG, vector databases, search indexes, and knowledge bases.
Deep understanding of structured and unstructured data management within the Salesforce ecosystem (CRM, Data Cloud) and external systems, encompassing integration, transformation (ETL/ELT), and governance.
Current, comprehensive knowledge of the LLM landscape, including specifications, capabilities, and ideal use cases for major foundational and frontier models.
Experience with data formats like JSON and XML, and data transformation techniques.
Expertise in API design and development (REST, SOAP, webhooks).
Familiarity with message queues, event‑driven architecture, and distributed systems concepts.
Solid understanding of how AI agents operate, with a conceptual grasp of multi‑agent systems and how they use data to trigger actions.
Hands‑on experience with an enterprise integration platform (iPaaS) such as MuleSoft, Dell Boomi, or similar.
Strong understanding of authentication/authorization standards like OAuth 2.0, OpenID Connect, and SAML.
Excellent troubleshooting skills with the ability to diagnose and resolve complex technical issues.
Strong communication skills to collaborate effectively with both technical and non‑technical teams.
Proactive, detail‑oriented approach to building and maintaining systems.
Ability to work independently in a dynamic, fast‑paced environment.
Ability to travel up to 30% of the time as needed to customer sites.
Preferred Qualifications
Experience integrating with the Salesforce platform, particularly using Salesforce APIs and Apex.
Direct experience working on AI or automation projects.
Any Data Specialist or Data Cloud certifications are highly desirable.
Familiarity with integration services offered by major cloud providers (AWS, Azure, Google Cloud).
Experience in an Agile development environment.
Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.
Accommodations If you require assistance due to a disability applying for open positions, please submit a request via the Accommodations Request Form.
Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. We believe in equality for all and lead the path to inclusive workplaces. All employees and prospective employees are assessed on merit, competence and qualifications—without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other protected classifications. Recruiting, hiring, and promotion decisions are fair and based on merit.
In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well, including time‑off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at https://www.salesforcebenefits.com. 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.
Salary ranges (U.S.):
New York: $184,000 to $384,100
Washington: $167,300 to $351,800
Maryland: $184,000 to $351,800
California: $184,000 to $384,100
Illinois: $167,300 to $351,800
Massachusetts: $167,300 to $351,800
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About The Role We are seeking technically adept and innovative Agentic Data Specialists to join our Forward Deployed Engineering Team. You will serve as the crucial link between our advanced AI agents and the wider enterprise technology landscape, designing, building, and managing the data and integrations that enable our Agentforce agents to take meaningful, autonomous actions across various business systems.
As an
Agentic Data Specialist , you will orchestrate a collaborative network of specialized AI agents, ensuring they work together seamlessly to solve complex business problems.
Your Impact
Data Flow and Transformation: Manage the real‑time flow of data to and from the AI agent. Implement necessary data transformations to ensure compatibility between different system formats and schemas.
Architect AI Grounding Systems: Design, build, and maintain cutting‑edge AI data integration technologies, including RAG (Retrieval‑Augmented Generation), vector databases, search indexes, and knowledge bases, to ground Agentforce solutions with accurate, real‑time enterprise data.
Orchestrate Multi‑Agent Systems & Communications: Define the technical architecture and protocols (including Model Context Protocol and Agent‑to‑Agent Communication) to govern, monitor, and ensure efficient collaboration among specialized AI agents.
System & Agent Integration Architecture: Design and implement robust, scalable, and secure data integration patterns that connect Agentforce to a wide range of enterprise applications and enable communication between different AI agents.
Define LLM Strategy: Leverage comprehensive knowledge of the LLM (Large Language Model) landscape to evaluate, select, and optimize foundational and frontier models for ideal application scenarios within enterprise AI deployments.
Ensure Salesforce Data Governance: Apply deep data management expertise to ensure the secure integration, transformation, and governance of structured and unstructured data within the Salesforce ecosystem (CRM, Data Cloud) and external systems.
Build Scalable and Secure Systems: Apply knowledge of message queues, event‑driven architecture, and distributed systems to build resilient workflows, while implementing and managing secure authentication and authorization protocols (OAuth, SAML).
API Development and Management: Develop, deploy, and maintain custom APIs (REST, SOAP, webhooks) to facilitate seamless data exchange and action execution between Agentforce and other systems.
Enable Workflow Automation: Collaborate with business analysts and AI specialists to translate complex business processes into automated, agent‑driven workflows. Implement the technical logic that enables agents to perform tasks like creating records, triggering notifications, and updating systems.
Troubleshooting and Optimization: Monitor the health and performance of integrations, proactively identifying and resolving issues. Continuously optimize integration workflows for speed, reliability, and efficiency.
Required Qualifications
5+ years of hands‑on experience in data engineering or integrations (e.g., Data Engineer, Data Architect or Data Scientist).
High level of proficiency with one or more programming/scripting languages (e.g., Python, Java, JavaScript).
Expertise in AI data integration, including RAG, vector databases, search indexes, and knowledge bases.
Deep understanding of structured and unstructured data management within the Salesforce ecosystem (CRM, Data Cloud) and external systems, encompassing integration, transformation (ETL/ELT), and governance.
Current, comprehensive knowledge of the LLM landscape, including specifications, capabilities, and ideal use cases for major foundational and frontier models.
Experience with data formats like JSON and XML, and data transformation techniques.
Expertise in API design and development (REST, SOAP, webhooks).
Familiarity with message queues, event‑driven architecture, and distributed systems concepts.
Solid understanding of how AI agents operate, with a conceptual grasp of multi‑agent systems and how they use data to trigger actions.
Hands‑on experience with an enterprise integration platform (iPaaS) such as MuleSoft, Dell Boomi, or similar.
Strong understanding of authentication/authorization standards like OAuth 2.0, OpenID Connect, and SAML.
Excellent troubleshooting skills with the ability to diagnose and resolve complex technical issues.
Strong communication skills to collaborate effectively with both technical and non‑technical teams.
Proactive, detail‑oriented approach to building and maintaining systems.
Ability to work independently in a dynamic, fast‑paced environment.
Ability to travel up to 30% of the time as needed to customer sites.
Preferred Qualifications
Experience integrating with the Salesforce platform, particularly using Salesforce APIs and Apex.
Direct experience working on AI or automation projects.
Any Data Specialist or Data Cloud certifications are highly desirable.
Familiarity with integration services offered by major cloud providers (AWS, Azure, Google Cloud).
Experience in an Agile development environment.
Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.
Accommodations If you require assistance due to a disability applying for open positions, please submit a request via the Accommodations Request Form.
Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. We believe in equality for all and lead the path to inclusive workplaces. All employees and prospective employees are assessed on merit, competence and qualifications—without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other protected classifications. Recruiting, hiring, and promotion decisions are fair and based on merit.
In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well, including time‑off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at https://www.salesforcebenefits.com. 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.
Salary ranges (U.S.):
New York: $184,000 to $384,100
Washington: $167,300 to $351,800
Maryland: $184,000 to $351,800
California: $184,000 to $384,100
Illinois: $167,300 to $351,800
Massachusetts: $167,300 to $351,800
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