Senior AI and Data Architect

Salesforce Salesforce · Enterprise · Maryland -, Florida -, Pennsylvania -, Indiana -, North Carolina -, Idaho -, California -, Kansas -, Delaware -, Maine -, Alaska -, Tennessee -, South Carolina -, Texas -, Mississippi -, Wisconsin -, Ohio -, Kentucky -, Hawaii -, Wyoming -, Minnesota -, Georgia -, Oklahoma -, Oregon -, Louisiana -, Nevada -, Washington D.C. -, New Mexico -, Virginia -, Arkansas -, Missouri -, North Dakota -, Colorado -, South Dakota -, Connecticut -, Nebraska -, Montana -, New York -, Vermont -, New Hampshire -, Iowa -, Illinois -, New Jersey -, West Virginia -, Arizona -, Utah -, Rhode Island -, Washington -, Michigan, AL · Remote

Salesforce is seeking a Senior AI and Data Architect to serve as a technical advisor for their Agentforce AI CRM product. This role involves guiding enterprise customers and internal teams on the architecture, implementation, and use cases of Agentforce, including creating agents, prompts, and flows. The position also requires developing reusable assets, documenting reference architectures, and providing feedback to Product and Engineering. Experience with RAG, vector databases, and the LLM landscape is essential, along with Salesforce-specific knowledge.

What you'd actually do

  1. Serve as the go-to subject matter expert on Salesforce Agentforce for internal teams and enterprise customers, providing deep insight into its capabilities, technical architecture, potential applications, and crucial limitations. Advise definitively on optimal use cases, implementation patterns, and when alternative or complementary solutions are more appropriate for a given use case.
  2. Act as an escalation point for critical or complex Agentforce project challenges, providing expert diagnosis, recommending strategic and technical solutions, and guiding teams toward successful resolution.
  3. Lead the technical design and hands-on development of complex Agentforce solutions, including creating and editing agents, prompts, topics, actions, flows, and writing necessary Apex and SOQL code to meet customer requirements.
  4. Partner with customers and account teams to assess business challenges, identify high-impact Agentforce use cases, define solution scope, develop detailed technical designs, and articulate the business value of proposed solutions to foster successful adoption and identify future opportunities.
  5. Lead and contribute to mentorship and enablement programs, developing and delivering technical content, documenting reference architectures, building reusable assets and patterns, and running internal training sessions to scale Agentforce knowledge within CSG.

Skills

Required

  • Practical, hands-on, real-life Agentforce experience guiding customers on the use of the technology.
  • Salesforce AI Specialist certification and Agentblazer Innovator status is required.
  • Experience with AI-related data integration technologies and concepts, including RAG, vector databases, search indexes, and knowledge bases, specifically how they apply to grounding Agentforce solutions with enterprise data.
  • Strong understanding of data management concepts for structured and unstructured data within the Salesforce ecosystem (including Salesforce CRM and Data Cloud) and external systems, including data integration, transformation (ETL/ELT), and data governance considerations.
  • Comprehensive and current knowledge of the rapidly evolving LLM (Large Language Model) landscape, including understanding the specifications, strengths, weaknesses, and ideal application scenarios of major foundational models, the tooling ecosystem, and the state of frontier models relevant to enterprise AI deployments.
  • Strong aptitude toward communicating complex business and technical concepts using visualization and modeling aids, and the ability to conceptualize and create sophisticated diagrams and documents.

Nice to have

  • Relevant Salesforce experience in Sales Cloud, Service Cloud, and Data Cloud, and related certifications (Salesforce Administrator, Service Cloud Consultant, Sales Cloud Consultant, Data Cloud Consultant) are a strong plus.
  • Knowledge of Data Governance, Data Security, and Data Privacy concepts and regulations is preferred.
  • Salesforce Data Cloud Consultant certification is preferred.

What the JD emphasized

  • Agentforce
  • enterprise customer engagements
  • technical advisor
  • reference architecture
  • reusable tools, assets, and patterns
  • Product and Engineering organizations
  • AI Specialist certification
  • Agentblazer Innovator status
  • RAG
  • vector databases
  • LLM landscape
  • foundational models
  • enterprise AI deployments

Other signals

  • AI CRM
  • Agentforce
  • enterprise customer engagements
  • technical advisor
  • reference architecture
  • reusable tools, assets, and patterns
  • Product and Engineering organizations
  • GTM counterparts
  • pre-sales activities
  • AI Specialist certification
  • Agentblazer Innovator status
  • RAG
  • vector databases
  • LLM landscape
  • foundational models
  • tooling ecosystem
  • enterprise AI deployments