Partner Technical Architect - Agentforce
Listed on 2026-03-01
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IT/Tech
AI Engineer, Cloud Computing, Systems Engineer
Job Category:
Customer Success
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
- Serve as an architecture governance authority for key SI partners, conducting design reviews, pre-go-live assessments, and post-deployment optimization for Agentforce implementations.
- Build working reference implementations, Partner Field Kits, and reusable patterns that partners can fork, extend, and deploy, scaling our impact across the ecosystem.
- Provide white-glove deployment support for lighthouse, high-risk, and first-of-kind Agentforce deployments in enterprise environments.
- Advise on partner technical artifacts including MCP servers, sub-agents, and agent skills for production readiness, security, and performance considerations.
- Establish evaluation frameworks, observability standards, and production quality benchmarks that make Agentforce feel like a real enterprise platform.
- Collaborate with Salesforce Product and Engineering teams to translate field signals into platform improvements—owning the partner feedback loop.
- Model agent economics and consumption patterns, helping partners build outcome-based pricing and sustainable delivery models.
- 5+ years of hands‑on Salesforce development and architecture experience, with deep expertise in Data Cloud (vector databases, semantic retrieval, zero-copy federation), Agentforce, and Einstein AI.
- 3+ years of production AI/ML experience, including LLM deployments, agent development, advanced prompt engineering, evaluation frameworks, and cost optimization at scale.
- True builder mindset—you work with code, create reusable assets, and learn by building. Portfolio of technical work required (Git Hub, demos, architecture docs).
- Applied agentic architecture expertise: single-agent and multi-agent patterns, orchestration, memory management, guardrails, hallucination mitigation, and production debugging.
- Enterprise strategic planning exposure—you've worked with CIOs, CTOs, and enterprise architects on multi-year AI transformation roadmaps and understand consumption economics.
- Track record of connecting technical work to business outcomes—you understand how architecture quality drives partner win rates, consumption growth, and expansion velocity.
- Strong understanding of regulated industry requirements (HIPAA, GDPR, SOC2) and enterprise security patterns.
- Exceptional communication skills—able to lead architecture conversations at both strategic and deeply technical levels.
- Salesforce Technical Architect certification or equivalent enterprise architecture credentials.
- Experience at a tier-1 system integrator (McKinsey, Accenture, Deloitte, etc.) or in a field CTO / forward-deployed engineer capacity.
- Published thought leadership—conference talks, technical blog posts, open source contributions, or architecture whitepapers.
- Experience designing certification programs, maturity models, or partner enablement frameworks.
- Deep consumption economics expertise—TCO modeling, outcome-based pricing, agent economics.
- Familiarity with enterprise architecture frameworks (TOGAF, Zachman) and capability maturity models.
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