Principal AI Architect, Salesforce

• Technical Pre-Sales/Consulting: Several years in solutions engineering, architecture, or technical consulting, ideally in B2B SaaS
• Hands-on experience with Salesforce Agentforce
• Strong understanding of external agent ecosystems and interoperability
• Proven track record in prompt engineering, agent lifecycle management, and hands-on prototype development
• AI & ML Expertise: Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences
• CRM & Data Knowledge: Familiarity with Salesforce CRM and modern data stacks; comfortable discussing governance, security, and integration
• Hands-On Development: Proficiency in programming (e.g., JavaScript, Python, SQL) or Salesforce development (Apex, Lightning Web Components, etc.)
• Excellent Communication: Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions
• Curiosity & Continuous Learning: Passion for exploring new AI frameworks, sharing insights, and experimenting with cutting-edge technologies

Desirable

• As an Agentforce Technical Architect, you’ll act as a trusted advisor to our customers, guiding them through the emerging AI solutions and ensuring they realize the full value of the platform.
• You’ll combine deep technical domain expertise in AI/ML, data infrastructure, and CRM with strong presentation and solutioning skills. Working side by side with our Account Executives, Solutions Engineers, Product, and Product Marketing teams, you will:
• Lead pre-sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities and integration with external agent frameworks
• Shape best practices around generative AI, agent interoperability, prompt engineering, Data Cloud, and cross-platform integrations
• Collaborate with AEs and SEs to build hands-on prototypes and demos using Agentforce and integrated external agents
• Develop thought leadership content—demo templates, whitepapers, enablement sessions—focused on agent lifecycle, integration strategy, and technical effectiveness
• Act as a central technical knowledge resource, proactively addressing internal technical inquiries, facilitating deep technical enablement, and documenting best practices to empower specialist teams across the organization
• Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate
• Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels including voice via hyperscaler APIs
• Drive Prompt Engineering & Lifecycle Strategy - Lead prompt design, testing, monitoring, and iteration; define agent lifecycle best practices from development through refinement
• Build Hands-On Demos & Prototypes - Co-create quick prototypes (<2 weeks) with AEs demonstrating integration between Agentforce and external agents or services
• Lead Pre-Sales Workshops - Facilitate whiteboarding, deep-dive sessions, and quick enablement for customers and internal teams
• Advise on Data & Integration- Integrate Data Cloud, CRM, MuleSoft APIs, and external agent endpoints ensuring cohesive architectures that align with compliance and governance policies
• Support Early Adoption - Occasionally assist in proof-of-value engagements post-sale by tuning agents and guiding customers toward self-sufficient enablement
• Own Technical Enablement: Create and manage accessible technical documentation, knowledge bases, and FAQ resources to rapidly resolve internal technical inquiries, empowering specialist teams to handle technical discussions confidently