Senior Salesforce Data Cloud & AI Architect (Life Sciences)

Accenture; Seattle (WA); On-site; USD 141,000 - 278,000; Full time

Benefits offered by this job

Medical insurance

401(k) plan

Paid holidays

Paid time off

Bonus opportunities

Job summary

Accenture’s Life Sciences Salesforce Practice in Seattle seeks a Senior Data Cloud and AI Architect to design enterprise-scale solutions at the intersection of Salesforce Data Cloud, Agentforce, Voice AI, and Life Sciences platforms.

You own end-to-end technical architecture across Data 360, identity resolution, agentic AI design, and CRM integration patterns, contributing from pre-sale through delivery and mentoring teams in high-stakes programs.

Qualifications

• 8+ years of Salesforce architecture in consulting environments.
• 4+ years of Data Cloud experience including data ingestion, identity resolution, segmentation, activation, and governance.
• 1+ year of Agentforce and AI/Voice AI experience.
• 4+ years designing enterprise integrations across CRM, data, marketing, and external platforms (MuleSoft, REST/SOAP).
• Bachelor’s degree in Computer Science, Engineering, or equivalent (minimum 12 years) work experience.

Responsibilities

• Data Cloud architecture — own end-to-end design of Data Cloud solutions including data model, ingestion strategy, identity resolution, unified profiles, segmentation, and real-time activation.
• Agentforce & Voice AI — architect agentic AI solutions across patient services, HCP engagement, and commercial operations.
• Data 360 strategy — define customer and patient 360 strategies that unify data sources into actionable intelligence.
• CRM integration architecture — design integration patterns between Data Cloud, Salesforce LSC/Health Cloud, Marketing Cloud, and external platforms.
• Pre-sale solutioning — lead technical response for RFPs and orals; translate complex AI and data architectures into client narratives.
• Design governance — conduct solution design reviews, set architecture standards, and manage technical risk.
• Team leadership — mentor architects and analysts; guide build quality and delivery standards.
• Practice development — contribute reusable architecture patterns and accelerators to the practice.

Skills

Salesforce architecture

Data Cloud

Agentforce

Voice AI

CRM integration

Pre-sale solutions

Education

Bachelor's degree in Computer Science or Engineering

Tools

MuleSoft

REST/SOAP APIs

Job description

Accenture’s Life Sciences Salesforce Practice in Seattle seeks a Senior Data Cloud and AI Architect to design enterprise-scale solutions at the intersection of Salesforce Data Cloud, Agentforce, Voice AI, and Life Sciences platforms.

You own end-to-end technical architecture across Data 360, identity resolution, agentic AI design, and CRM integration patterns, contributing from pre-sale through delivery and mentoring teams in high-stakes programs.