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 What You Need: Minimum of 6 years of Salesforce delivery experience, with meaningful time in both functional and technical roles on full-lifecycle implementations Minimum of 2 years experience as a Solution Architect or senior technical lead on at least two end-to-end Salesforce programs Minimum of 2 years working knowledge of data architecture, identity resolution, segmentation, and real-time activation patterns Minimum of 1 year hands-on experience designing and implementing Agentforce use cases, including AI-powered workflow automation Integration experience — practical experience designing integrations across CRM, data platforms, and external systems Minimum of 2 years experience in client-facing consulting environments leading technical workstreams in Agile or hybrid delivery frameworks Bachelor’s degree in Computer Science, Engineering, or equivalent (minimum 12 years) work experience. If Associate’s Degree, must have minimum 6 years work experience Bonus Points: Experience with Salesforce Life Sciences Cloud, Health Cloud, or equivalent pharma/biotech CRM; understanding of commercial and patient-facing use cases Experience designing or delivering Agentforce Voice, contact center AI, or conversational agent solutions in Life Sciences Familiarity with Veeva Vault CRM, Veeva CRM, or the Veeva-to-Salesforce migration landscape and integration patterns Agentforce Specialist, Data Cloud Consultant, Sales/Service Cloud Consultant, Health Cloud Accreditation, or Certified Application Architect Experience managing technical delivery across onshore/offshore distributed teams Prior experience contributing to RFP responses or solution design in a pursuit context Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 08/15/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture Role Location Annual Salary Range California $94,400 to $266,300 Cleveland $87,400 to $213,000 Colorado $94,400 to $230,000 District of Columbia $100,500 to $245,000 Illinois $87,400 to $230,000 Maine $80,400 to $196,000 Maryland $94,400 to $230,000 Massachusetts $94,400 to $245,000 Minnesota $94,400 to $230,000 New York $87,400 t