Solutions Architect

Responsibilities

• Defines the end-to-end solution architecture for Salesforce engagements – data model, components, integrations, and the boundary between deterministic automation and AI agents
• Designs Agentforce agents – topics, actions, instructions and guardrails – and how they interact with Salesforce data, external systems and human users
• Defines the grounding and data strategy for AI (Data Cloud, data libraries, retrieval sources) so agents respond accurately on clean, governed data
• Balances functionality, performance, resilience, reuse, scalability, security and cost, including the trade-offs between AI agents and deterministic approaches
• Act as the go-between project and product management
• Designs the solution blueprint based on client requirements, Salesforce platform capabilities and the Agentforce / AI stack
• Liaises with various stakeholders to ensure that the assigned architecture project meets the needs of the organization and the client
• Communicates designs and requirements to developers, administrators and consultants, and unblocks them through delivery
• Researches third‑party, App Exchange and AI tooling options and recommends how best to integrate them into the solution
• Maintains the quality and effectiveness of the build and of agent behaviour, establishing testing (including Agentforce Testing Center) and monitoring against agreed standards
• Monitor the technical competencies of the company by looking for new technology and techniques
• Oversee assigned programs and provide guidance to team members
• Help to solve technical problems when they arise
• Monitors solutions and agent adoption to ensure they meet user needs, business goals and Responsible AI / trust standards
• Owns the solution and agent lifecycle on assigned engagements – design, build, implementation, testing, support and ongoing evolution
• Acts as a trusted advisor to client stakeholders, from administrators to executives, explaining agentic concepts, risks and ROI in language each audience understands
• Supports pre‑sales and scoping by shaping proposals, estimating effort, identifying high‑value agent use cases and presenting solution approaches in workshops and pitches
• Embeds security, privacy, trust and Responsible AI considerations into every design, and sets guardrails for safe autonomous action

• At least 5 years’ experience on the Salesforce platform in a corporate or consulting / professional‑services environment
• At least 2 years’ in a solution / technical architect capacity, including hands‑on Salesforce build (Flow, Apex, integrations) on client‑facing engagements
• Experience designing modifications to existing systems, software, applications
• Experience in quality assurance and software testing
• Practical experience designing or delivering Agentforce solutions, or comparable production experience with LLM / agentic systems that can be applied to Agentforce
• Bachelor’s degree in Computer Science, Engineering or related field
• Salesforce certifications such as Application Architect, System Architect or Platform Developer
• Salesforce Agentforce Specialist and Data Cloud Consultant certifications (or working towards them); AI Specialist a plus