Agentforce Technical Manager (Salesforce experience mandatory)

Salesforce
Hyderabad
Workplace: OnsiteFull timeFunction: SalesExperience: 12+ yearsSkills: ["Strategic thinking","Stakeholder communication","Talent development","Mentoring","Customer-first advisory"]

Lead teams building Agentforce capabilities for enterprise customer implementations within Salesforce’s Global Delivery Centre. Own technical architecture standards, reusable frameworks, and deployment patterns for intelligent AI agents, copilots, and autonomous workflows. Drive end-to-end delivery with integrations across Salesforce Clouds, Data Cloud, MuleSoft, and external systems, including RAG/knowledge grounding architectures, performance monitoring, and AI governance. Mentor engineers, manage hiring and reviews, and coordinate execution roadmaps with stakeholders.

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FursaFursa
Salesforce
Salesforce
1 day ago

Agentforce Technical Manager (Salesforce experience mandatory)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Lead teams building Agentforce capabilities for enterprise customer implementations within Salesforce’s Global Delivery Centre. Own technical architecture standards, reusable frameworks, and deployment patterns for intelligent AI agents, copilots, and autonomous workflows. Drive end-to-end delivery with integrations across Salesforce Clouds, Data Cloud, MuleSoft, and external systems, including RAG/knowledge grounding architectures, performance monitoring, and AI governance. Mentor engineers, manage hiring and reviews, and coordinate execution roadmaps with stakeholders.
Location: Hyderabad
Workplace: Onsite
Employment Type: Full time
Job Function: Sales
Seniority: Manager level

Key Responsibilities

  • •Architect scalable, enterprise-grade Agentforce solutions and integration patterns across Salesforce and external systems.
  • •Design intelligent agents using LLMs, prompt engineering, and orchestration frameworks, including reusable guardrails and multi-agent collaboration patterns.
  • •Lead the end-to-end lifecycle and delivery of Agentforce implementations, including accelerators and deployment frameworks.
  • •Manage and mentor Agentforce engineers and architects, driving hiring, onboarding, performance reviews, and career coaching.
  • •Establish AI governance/guardrails and DevOps/CI/CD/release standards, ensuring compliance with Responsible AI and data security policies.

Key Requirements

  • •12+ years of enterprise software engineering experience.
  • •4+ years leading engineering or architecture teams.
  • •Deep expertise in Salesforce platform architecture.
  • •Hands-on experience with Agentforce / conversational AI / intelligent agents.
  • •Experience integrating LLMs and AI services into enterprise applications.
Experience:12+ years
Skills:Strategic thinkingStakeholder communicationTalent developmentMentoringCustomer-first advisory
Certifications:Salesforce Architect certifications (Application/System/CTA track)
Tech Stack:SalesforceAgentforceLLMsPrompt engineeringOrchestration frameworksSalesforce CloudsData CloudMuleSoftAPIsRAGVector searchDocument ingestionOmniStudioApexLWCFlowsDevOpsCI/CDRelease standardsMonitoring

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
Glassdoor
Glassdoor: 4.1
WebsiteLinkedInGlassdoor