1 day ago
San Francisco, CA, USA or San Jose, CA, USAStaff+
Responsibilities
- Own end-to-end solution design for assigned workstreams, including data models, integration patterns, security models, platform configuration, architecture records, and data flow diagrams.
- Lead Agentforce technical design and implementation for patient services agents, HCP engagement agents, and Voice AI integrations.
- Lead Salesforce Data Cloud implementation workstreams covering ingestion, identity resolution, unified profiles, segmentation, activation, data quality, and governance.
- Design and implement integrations across Data Cloud, CRM, external data sources, and Agentforce using middleware and integration options such as MuleSoft, REST/SOAP, and Salesforce Connect.
- Bridge functional requirements and technical delivery while aligning architects, developers, and client stakeholders.
- Lead design sessions, code reviews, deployment governance, risk management, and cross-workstream dependency management.
- Mentor L8 architects and analysts and establish technical standards for Data Cloud and AI delivery.
- Support estimation, scoping, staffing, RFP responses, and architecture presentations during sales pursuits.
- Build reusable accelerators, methodology assets, and Life Sciences AI use-case patterns.
Requirements
- At least 10 years of Salesforce delivery experience, including meaningful functional and technical experience on full-lifecycle implementations.
- At least 4 years as a Solution Architect or senior technical lead on two or more end-to-end Salesforce programs.
- At least 2 years of experience with data architecture, identity resolution, segmentation, and real-time activation patterns.
- Experience with Salesforce Life Sciences Cloud, Health Cloud, or equivalent pharmaceutical or biotechnology CRM and related commercial and patient-facing use cases.
- Experience with Veeva Vault CRM, Veeva CRM, or Veeva-to-Salesforce migration and integration patterns.
- At least 1 year of hands-on experience designing and implementing Agentforce use cases, including AI-powered workflow automation.
- Practical experience designing integrations across CRM systems, data platforms, and external systems.
- At least 2 years of experience leading technical workstreams in client-facing consulting environments.
- Bachelor's degree in Computer Science, Engineering, or equivalent experience.
- Experience with Agentforce Voice, contact center AI, or conversational agent solutions in Life Sciences is preferred.
- Relevant certifications or accreditations, such as Agentforce Specialist, Data Cloud Consultant, Sales/Service Cloud Consultant, Health Cloud Accreditation, or Certified Application Architect, are preferred.
- Experience managing technical delivery across distributed onshore/offshore teams and contributing to RFP responses is preferred.
Benefits
- The role is on-site in San Jose, United States.
Tech Stack
SOAP
Categories
Solutions Engineering
About Accellor
Accellor is an IT services and consulting firm that designs and builds enterprise applications and customer experience solutions, with a focus on Salesforce, Microsoft Azure, mobile, and AI/chatbots. It provides systems integration, digital transformation, and product development for global enterprises across sectors, delivering solutions used in real operating environments. The company is privately held and headquartered in Fremont, California.