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Senior AI and Data Architect

Job in East Honolulu, Honolulu, Honolulu County, Hawaii, 96801, USA
Listing for: Salesforce
Full Time position
Listed on 2026-06-14
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), IT Consultant, Cloud Computing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: East Honolulu

Senior AI and Data Architect – Overview

The Senior AI and Data Architect is a recognized expert and demonstrated thought leader in the technical and functional application of Agentforce for enterprise customer engagements. This role significantly influences the successful architecture and delivery of complex Agentforce projects and drives internal knowledge scaling. The position sits within CSG Professional Services, on the Data Excellence team. It is split equally between delivery and internal employee enablement;

half is customer-facing, serving Salesforce’s enterprise Agentforce customers as a technical advisor, and the other half is spent on enabling CSG employees on Agentforce by providing technical expertise, documenting reference architecture, building reusable tools and patterns, running live enablement sessions, and providing Voice of the Customer feedback to Product and Engineering to contribute to product enhancements.

Key Responsibilities
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Maintain a high degree of expertise on the rapidly evolving Agentforce product roadmap and the broader generative‑AI landscape through continuous self‑directed learning.
  • Provide critical Voice of the Customer feedback to Product and Engineering organizations based on field experience, directly contributing to product enhancements and future features.
  • Actively partner with GTM counterparts during pre‑sales activities by providing expert technical validation, shaping scope, and contributing to the development of future Services offerings related to Agentforce and AI.
  • Manage parallel engagements across multiple (typically 2‑3) strategic clients simultaneously, meeting a utilization target of 50%.
Qualifications and Skills
  • Practical, hands‑on, real‑life Agentforce experience guiding customers on the use of the technology.
  • Salesforce AI Specialist certification and Agent blazer 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.
  • Relevant Salesforce experience in Sales Cloud, Service Cloud, and Data Cloud, and related certifications…
Position Requirements
10+ Years work experience
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