Agentic Solutions Architect

Bsky; Cape Town; On-site; ZAR 900,000 - 1,300,000; Full time

Job summary

Bsky is seeking an Agentic Solutions Architect to craft innovative Salesforce solutions combining core architecture with agentic AI. You will define the boundary between deterministic automation and AI agents, ensuring secure, scalable and well-governed data-driven outcomes.

The role merges Agentforce/AI design with Salesforce architecture and requires collaboration with stakeholders to deliver high-impact, cost-effective solutions.

Qualifications

• Bachelor’s degree in Computer Science, Engineering or related field.
• At least 5 years’ experience on the Salesforce platform.
• Experience designing modifications to existing systems, software, applications.
• Experience in quality assurance and software testing.

Responsibilities

• Defines end-to-end solution architecture for Salesforce engagements – data model, components, integrations, and AI/automation boundary.
• Designs Agentforce agents – topics, actions, instructions and guardrails.
• Defines grounding and data strategy for AI with Data Cloud and data libraries.
• Balances functionality, performance, resilience, reuse, and cost including AI vs deterministic approaches.
• Acts as go-between project and product management and designs solution blueprints.
• Liaises with stakeholders to ensure architecture meets client needs.
• Communicates designs to developers and unblocks delivery.
• Researches third‑party tooling and recommends integrations.
• Maintains build quality and agent behavior with testing and monitoring.

Skills

Salesforce architecture

Agentforce design

AI agent design

Stakeholder management

Security & governance

Data governance

Education

Bachelor's degree in Computer Science

Tools

Flow

Apex

AppExchange

Job description

The Agentic Solutions Architect works with internal and external stakeholders to craft and deliver innovative, cost-effective Salesforce solutions that combine core platform architecture with agentic AI. The role designs where deterministic automation (Flow, Apex, integrations) ends and where AI agents (Agentforce, prompt‑grounded reasoning, and autonomous actions) begin, ensuring solutions are secure, scalable, trustworthy and grounded in well‑governed data. The position is roughly balanced between Agentforce / AI agent design and core Salesforce architecture, and develops the required skills to assume greater complexity over time.

Key Roles and 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, AppExchange 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
• Monitors the technical competencies of the company by looking for new technology and techniques
• Oversees assigned programs and provides guidance to team members
• Helps 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

Experience

• 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

• Practical experience designing or delivering Agentforce solutions, or comparable production experience with LLM / agentic systems that can be applied to Agentforce

Qualifications

• 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