Description
The AI Solution Architect Leads multiple team members across one or more workstreams in complex enterprise customer engagements, partnering with key stakeholders to create and achieve the vision while executing on strategies and key deliverables. They serve as advisors to the hands-on team members, coaching in execution and solution best practices.
The AI Solution Architect has demonstrated proven expertise in technical knowledge or cross-cloud Salesforce product knowledge with multiple years of industry experience, consulting experience, and expert level knowledge of their client’s business to deliver customer ROI. The Architect Leads all platform configuration activities and is a key point of contact for the overall solution – they own the final state vision. This role also contributes to internal efforts aligned to the organization’s strategic roadmap.
Key Responsibilities
I. Solution Ownership & Delivery Leadership
Final State Vision: Own the final state vision of the overall solution, ensuring alignment between customer requirements, business processes, and technical feasibility, especially for Agentforce and AI integrations.
Configuration Activities: Lead all platform configuration activities for the solution, from initial design through to deployment.
Process Improvement: Identify business process improvements and opportunities for automation, translating these into actionable solution designs.
Issue Resolution: Applying knowledge, skills, and judgment to make decisions and resolve issues throughout the project lifecycle.
Workstream Leadership: Lead multiple team members across one or more workstreams, executing on strategies and key deliverables, and efficiently scoping work and assessing implementation level of effort.
Billable Utilization: Maintain a target billable utilization aligned to the role.
II. AI, Data, and Technical Execution
Integration Mapping: Analyzing the data requirements, structures, and integration points of the process, and creating mapping to Salesforce objects or external REST endpoints.
AI Process Design: Design business processes that embed AI/ML capabilities, including building agentic prompts in a no-code environment and defining automated processes involving Agentforce solutions.
Documentation: Documenting work using flow charts, written descriptions, screenshots, and videos to ensure clear knowledge transfer and compliance.
Integration Literacy: Demonstrate integration literacy with core systems (ERP, PLM, MES, etc.).
Enterprise Application Expertise: Leverage deep enterprise applications and transformations experience to understand the integration of cloud solutions within the customer's existing technology stack.
III. Client Partnership & Strategy
Strategic Advising: Serve as an advisor to the hands-on team members and client stakeholders, coaching in execution and solution best practices to maximize customer ROI.
Business Acumen: Apply expert level knowledge of the client’s business and key processes in their industry specific domain to ensure the solution delivers strategic value.
Internal Contribution: Contribute to internal efforts aligned to the organization’s strategic roadmap, sharing expertise to build the broader team's AI and Agentic capabilities.
Required Skills and Qualifications
Experience: 8+ Years of practical experience in enterprise software implementation, technology consulting, or solution architecture for large-scale digital transformations.
Enterprise Applications: Deep enterprise applications and transformations experience with core systems (ERP, PLM SCM, MES, or similar) required.
Industry Knowledge: In-depth knowledge of key processes in industry-specific solutions.
Solution Design: Demonstrated capability to understand business strategies and application objectives, and translate those requirements into effective implementation designs.
Process Modeling: Expertise in process modeling tools and standard methodologies. Excellent process design skills, including the ability to critique visual elements and optimize user flows.
AI Delivery Leadership: Direct experience developing or implementing agentic AI and generative AI solutions at an enterprise scale, managing modules or workstreams across all project stages (design, deployment, and post-go-live support).
Project Governance: Expert level knowledge of project management tools, data modeling, systems analysis, and design.
Travel: Ability to travel as required to meet with key customers and partners.
*LI-Y
For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.