Salesforce Data Cloud & AI Associate Architect
accentureSacramento (CA)
Salesforce Data Cloud & AI Associate Architect
Posted today
accentureSacramento (CA)
SENIORITY
Lead
About the role
Overview:
As a Salesforce Architect in Accenture’s Life Sciences group, you help design and deliver Data Cloud and AI-driven solutions for pharma, biotech, and MedTech programs. You will work under senior architects, owning technical workstreams and growing toward independent delivery. You’ll shape architecture and solve data, AI, and integration challenges at enterprise scale. This role offers meaningful impact on patient access, HCP engagement, and commercial operations through cross-functional collaboration. You’ll join a mission-driven team focused on transforming life sciences with data and AI. Compensation / Benefits medical, dental, vision life and long-term disability 401(k) plan bonus opportunities paid holidays paid time off
Responsibilities:
Support Data Cloud architecture, data models, data streams, identity resolution, and segmentation for Life Sciences use cases Contribute to Agentforce and AI implementations, including AI-powered workflows and Voice AI integrations Create and maintain solution design documents, data flow diagrams, and technical specifications Assist in designing and implementing integrations between Data Cloud, Salesforce CRM (LSC/Health Cloud), and external data sources Translate client requirements into user stories, acceptance criteria, and platform decisions; help facilitate design workshops Own technical test scenarios and support UAT, performance testing, and go-live readiness Contribute to accelerators, reusable assets, and thought leadership for Life Sciences AI and Data Cloud practice
Key requirements:
2+ years Salesforce delivery experience in a consulting or SI environment 1+ year Data Cloud experience including data ingestion, identity resolution, segmentation, and activation patterns 1+ year hands-on experience with Agentforce or equivalent AI tooling on Salesforce (or certification) CRM fundamentals with Sales Cloud, Service Cloud, Health Cloud, or Life Sciences Cloud 1+ year experience with APIs, data modeling, and integration concepts; REST/SOAP or MuleSoft a plus 1+ year of client-facing consulting experience Bachelor’s degree in Computer Science, Engineering, or equivalent (minimum 12 years) work experience client-facing communication cross-functional collaboration curiosity about AI and data Data Cloud architecture and data modeling Agentforce and AI tooling (Einstein) Sales Cloud / Health Cloud / Life Sciences Cloud
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