Salesforce Data Cloud & AI Tech Architect (Tech Architecture/Solution Architecture)
accentureDayton, OH
Salesforce Data Cloud & AI Tech Architect (Tech Architecture/Solution Architecture)
L7
accentureDayton, OHtoday
Occupations
Computer Systems Engineers/ArchitectsComputer and Information Systems ManagersComputer Systems AnalystsOverview:
As a Data Cloud and AI Tech Lead in Accenture’s Life Sciences Salesforce Practice, you translate architectural designs into delivery, owning solution design documents and guiding technical workstreams. You’ll lead multi-workstream programs, mentor junior staff, and ensure architecture integrity throughout the lifecycle. You’ll work with Salesforce Data Cloud, Agentforce, and Life Sciences CRM to deliver AI-enabled, data-driven capabilities. This role offers real impact by shaping Life Sciences data strategies, customer experiences, and AI-enabled workflows. Compensation / Benefits medical, dental, vision, life, long-term disability 401(k) plan bonus opportunities paid holidays paid time off
Responsibilities:
Own end-to-end solution design across workstreams including data model, integrations, security, and platform config; maintain SDDs and data flow diagrams Lead Agentforce and AI delivery for patient services agents, HCP engagement agents, and Voice AI integrations Head Data Cloud implementation tracks: ingestion, identity resolution, unified profile design, segmentation, activation; address data quality and governance Design and implement integrations between Data Cloud, CRM, and external sources; evaluate middleware options (MuleSoft, REST/SOAP, Salesforce Connect) Bridge between functional requirements and technical delivery; align architects, developers, and stakeholders on design and scope Provide technical leadership: lead design sessions, code reviews, deployment governance; manage risks and cross-workstream dependencies Mentor L8 architects and analysts; set technical standards and build Data Cloud and AI delivery capabilities Support pre-sale activities: estimation, scoping, staffing; contribute to architecture sections of RFPs and orals Contribute to practice: create accelerators, methodology assets, and Life Sciences AI use-case patterns
Key requirements:
Minimum 6 years of Salesforce delivery experience in functional and technical roles on full-lifecycle implementations At least 2 years as a Solution Architect or senior technical lead on two end-to-end Salesforce programs At least 2 years in data architecture, identity resolution, segmentation, and real-time activation At least 1 year hands-on experience designing and implementing Agentforce use cases including AI-powered workflow automation Integration experience designing integrations across CRM, data platforms, and external systems At least 2 years in client-facing consulting leading technical workstreams in Agile or hybrid delivery Bachelor’s degree in Computer Science or Engineering (or equivalent) leadership clear communication mentoring Salesforce Data Cloud Agentforce Life Sciences CRM
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Level
ManagerL7
Location
Dayton, OH
Occupation
Computer Systems Engineers/Architects
Industry
Computer Systems Design Services
Posted
today
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