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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Partner Technical Architect - Agentforce - **Company:** Salesforce Inc. - **Location:** New York, NY, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Software Debugging, Memory Management, Enterprise Architecture Framework, Github, Python (Programming Language), Machine Learning, Open Source Technology, Performance Tuning, Program Design Languages, Salesforce.Com, SQL Databases, Zachman Framework, Apex Code, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Hallucination Detection, Multi-Cloud, Togaf, Software Coding - **Published:** November 8, 2026 - **Apply:** https://www.juju.com/job/28_25303_e47598f479f73471e19ccf3b8dcd040c ## About the Role * 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 (GitHub, 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., * 5+ years Salesforce platform experience (Data Cloud, Agentforce, multi-cloud) * 3+ years production AI/ML experience (LLMs, agents, evaluation, deployment) * Hands-on coding ability (Apex, Python, JavaScript, SQL) * Deep understanding of vector databases, semantic retrieval, RAG patterns * Experience with enterprise integration patterns (APIs, event-driven, federation) Applied AI Expertise * Production LLM deployments (at least 2) * Advanced prompt engineering * Agent architecture patterns (single-agent, multi-agent, orchestration) * Evaluation framework design * Cost optimization and performance tuning Builder Portfolio * GitHub repos, demo orgs, or equivalent showing technical work * Writing samples (architecture docs, technical blog posts, whitepapers) * Evidence of pattern thinking (reusable assets you've created) Enterprise Context * Experience working with enterprise architects or in strategic planning * Understanding of consumption economics and outcome-based pricing * Stakeholder management in complex organizations * Comfort with regulated industries (HIPAA, GDPR, SOC2, etc.), * Salesforce Technical Architect certification * Published thought leadership (conference talks, arxiv papers, technical blog) * Open source contributions (especially AI/ML tooling) * Experience at a tier-1 SI (understand their delivery models) * Industry specialization (FinServ, Healthcare, Manufacturing, etc.) * Product management experience (understand prioritization, roadmap thinking) * Teaching/training experience (enablement, certification program design), * You understand consumption economics-TCO modeling, outcome-based pricing, ROI frameworks * You think in terms of capability maturity-How organizations progress from L1 to L4 readiness * You manage stakeholder complexity-CIOs, CTOs, enterprise architects, security teams, compliance officers * You navigate organizational change-Resistance to AI, workforce transformation, governance models * You speak "enterprise architect"-TOGAF, Zachman, capability mapping, reference architectures * You balance innovation with pragmatism-Cutting-edge patterns deployed within enterprise constraints * You've built a Pattern Factory at a previous role (extract and codify reusable patterns) * You're known in the community for technical contributions (open source, writing, speaking) * You've designed certification programs or maturity models before * You've worked in a "field CTO" or "forward-deployed engineer" capacity * You have deep consumption economics expertise (TCO modeling, outcome-based pricing) * You've been an enterprise architect and understand strategic planning cycles * You speak multiple languages (technical + business + strategic) * You're intellectually curious about AI research but pragmatic about enterprise deployment ## Description * 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., Join a founding team building Salesforce's Applied AI Technical Architect function for partners - a force multiplier role that ensures top-tier system integrators deliver enterprise-grade Agentforce solutions with confidence, quality, and velocity. * Founding team opportunity - Build a new function from the ground up * High-leverage role - Your work multiplies across key partners and top customers * Cutting-edge tech - Work at the frontier of agentic AI in enterprise * Strategic visibility - Engage with tier-1 SI leadership and Salesforce product teams * Autonomy - Own your patterns, build your field kits, shape the ecosystem * Learning environment - Work with some of the best architects in the industry