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Partner Technical Architect - Agentforce

Job in Springfield, Hampden County, Massachusetts, 01119, USA
Listing for: B Capital
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    AI Engineer, Systems Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Description

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 (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.

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.

For roles in San Francisco and Los Angeles:
Pursuant 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.

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