Salesforce Data Cloud & AI Tech Architect (Tech Architecture/Solution Architecture)

We Are:

Accenture's Salesforce practice, and we live to see what this platform can do. Since we were one of the first on the scene, we're the largest global Salesforce practice, not to mention one of the best. In fact, we are the industry-leader for building Salesforce solutions, and we are Master Certified in all 12 industries and clouds. We use tech like Lightning, Einstein, and Bolt to build stronger, better relationships with customers. And we are always learning. We're building the most resourceful team on the planet, and helping our people with new skills, training, and support to get over 4,200 certifications including Certified Technical Architect (CTA). Visit us here to find out more about Accenture's Salesforce practice.

Who You Are

You are a Data Cloud and AI Tech Lead within Accenture's Life Sciences Salesforce Business Group, operating at the layer between architecture and execution. You translate what senior architects design into what delivery teams build - owning solution design documents, leading technical workstreams, and making sure the architecture holds through the full program lifecycle.

You are fluent in Salesforce Data Cloud, Agentforce, and Life Sciences CRM platforms. You thrive in complexity: multi-workstream programs, distributed teams, and client environments where the data is messy, the timelines are tight, and the architecture decisions matter. You bring clarity to ambiguous technical problems and lead junior team members without waiting to be asked.

The Work

• Solution design ownership - lead end-to-end solution design across assigned workstreams, including data model, integration patterns, security model, and platform configuration; keep SDDs, architecture decision records, and data flow diagrams current throughout delivery
• Agentforce & AI delivery - own technical design and build for Agentforce use cases - patient services agents, HCP engagement agents, Voice AI integrations - across active Life Sciences programs
• Data Cloud workstreams - lead Data Cloud implementation tracks including data ingestion, identity resolution, unified profile design, segmentation, and activation; identify and resolve data quality and governance issues
• Integration delivery - design and implement integrations between Data Cloud, CRM, external data sources, and Agentforce capabilities; make architecture tradeoffs across middleware options (MuleSoft, REST/SOAP, Salesforce Connect)
• Bridge function - serve as the connective layer between functional requirements and technical delivery; align architects, developers, and client stakeholders on design decisions and scope boundaries
• Technical leadership - lead design sessions, code reviews, and deployment governance; manage solution risks, design gaps, and cross-workstream dependencies; escalate proactively
• Team development - guide and mentor L8 architects and analysts; set technical standards across the team and build capability in Data Cloud and AI delivery practices
• Pre-sale contribution - support estimation, scoping, and staffing conversations during pursuit phases; contribute to architecture sections of RFP responses and orals
• Practice contribution - build accelerators, methodology assets, and LS-specific AI use case patterns that scale across the practice