Senior AI and Data Architect

Salesforce•Indianapolis, IN

17h•$150,100 - $247,900•Hybrid

About The Position

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. This position sits within CSG Professional Services, on the Data Excellence team. Its functions are split equally between delivery and internal employee enablement, whereby half of the role is customer-facing and involves 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, assets, and patterns; running live enablement sessions; and providing from-the-field feedback (Voice of the Customer) to the Product and Engineering organizations to contribute to product enhancements.

Requirements

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.
BA/BS degree or foreign equivalent in a technical or related field.
Willingness to travel when needed (expected to be less than 10%).

Nice To Haves

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.
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.
Knowledge of Data Governance, Data Security, and Data Privacy concepts and regulations is preferred.
Salesforce Data Cloud Consultant certification is preferred.

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%.