Agentic Data Specialist (Multiple Levels) jobs in United States
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Salesforce · 7 hours ago

Agentic Data Specialist (Multiple Levels)

Salesforce is the #1 AI CRM, focusing on driving customer success through innovative technology. The Agentic Data Specialist role involves designing, building, and managing data systems that enable AI agents to perform meaningful actions across various business applications.

Agentic AIArtificial Intelligence (AI)Cloud ComputingCRMSaaSSales EnablementSoftware
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

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
Design, build, and maintain cutting-edge AI data integration technologies, including RAG (Retrieval-Augmented Generation), vector databases, search indexes, and knowledge bases, specifically to ground Agentforce solutions with accurate, real-time enterprise data
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
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
Leverage comprehensive knowledge of the LLM (Large Language Model) landscape to evaluate, select, and optimize major foundational and frontier models for ideal application scenarios within enterprise AI deployments
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
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) to ensure that all agent actions are secure and comply with enterprise security policies
Develop, deploy, and maintain custom APIs (REST, SOAP, webhooks) to facilitate seamless data exchange and action execution between Agentforce and other systems
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
Monitor the health and performance of integrations, proactively identifying and resolving issues. Continuously optimize integration workflows for speed, reliability, and efficiency

Qualification

Data engineeringAI data integrationAPI developmentLLM knowledgeSalesforce ecosystemData transformationDistributed systemsAuthentication standardsTroubleshooting skillsProactive approachCommunication skillsIndependent work

Required

5+ years of hands-on experience in data engineering or integrations, such as a 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, specifically for grounding Agentforce solutions with enterprise data
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 the specifications, capabilities, and ideal use cases for major foundational and frontier models relevant to enterprise AI deployment, along with the tooling ecosystem
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
A solid understanding of how AI agents operate, with a conceptual grasp of multi-agent systems and how they use data to trigger actions. Direct experience working on AI or automation projects is a significant plus
Hands-on experience with an enterprise integration platform (iPaaS) such as MuleSoft, Dell Boomi, or a similar technology
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 that span multiple systems
Strong communication skills to collaborate effectively with both technical and non-technical teams
A proactive and detail-oriented approach to building and maintaining systems
Ability to work independently in a dynamic, fast-paced environment
Ability to travel 30% of the time, as needed to customer sites

Preferred

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 the integration services offered by major cloud providers (AWS, Azure, Google Cloud)
Experience in an Agile development environment

Benefits

Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program

Company

Salesforce

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Salesforce is a cloud-based software company that provides customer relationship management software and applications.

H1B Sponsorship

Salesforce has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1883)
2024 (2296)
2023 (1850)
2022 (2849)
2021 (2124)
2020 (1960)

Funding

Current Stage
Public Company
Total Funding
$65.38M
Key Investors
Starboard ValueEmergence CapitalHalsey Minor
2022-10-18Post Ipo Equity
2004-06-23IPO
2003-01-01Series Unknown· $1M

Leadership Team

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Arundhati Bhattacharya
Chairman & Ceo Salesforce India
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Marc Benioff
Chair & CEO
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Company data provided by crunchbase