Partner Technical Architect - Agentforce

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Customer Success Job Details About Salesforce 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. Key Responsibilities 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. What We're Looking For 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. Preferred Qualifications 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. The Opportunity 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 Required Qualifications Technical Depth 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.) Nice to Have 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) What Makes You Stand Out You've been in the room when enterprises plan multi-year AI transformation roadmaps 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 Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via the Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills and experience. Certain roles may be eligible for incentive compensation, equity and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k) and an employee stock purchasing program. More details about company benefits can be found at the following link: to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. #J-18808-Ljbffr Salesforce