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Salesforce is seeking an experienced Agentforce Technical Manager to join its Global Delivery Centre in Hyderabad. This role combines people leadership, technical architecture, and delivery ownership to scale Agentforce capabilities across global customer implementations.
You will lead teams building intelligent AI agents, copilots, and autonomous workflows while defining architecture standards, reusable frameworks, and enterprise deployment patterns. Key responsibilities include:
Technical Architecture Leadership: Architect scalable, enterprise-grade Agentforce solutions. Design intelligent agents leveraging LLMs, prompt engineering, and orchestration frameworks. Define reusable patterns for agent skills, guardrails, and multi-agent collaboration. Lead integrations across Salesforce Clouds, Data Cloud, MuleSoft, and external systems. Establish RAG, knowledge grounding, and document ingestion architectures. Drive performance optimization, monitoring, and telemetry frameworks.
Agentforce Capability Development: Lead end-to-end lifecycle of Agentforce implementations. Drive agent design, prompt strategies, and skill orchestration. Build reusable accelerators and deployment frameworks. Partner with Product and COE teams on pilots and innovation programs.
People Management & Team Leadership: Manage and mentor a team of Agentforce engineers and architects. Drive hiring, onboarding, and capability development. Conduct performance reviews and career coaching. Build high-performing pods aligned to delivery programs. Foster a culture of innovation, learning, and technical excellence.
Delivery & Stakeholder Engagement: Own end-to-end delivery for Agentforce initiatives. Partner with Product Owners, Architects, and Customer Success teams. Manage risks, dependencies, and execution roadmaps. Support solutioning, estimations, and POD planning.
Governance & Best Practices: Define AI governance and guardrail frameworks. Establish DevOps, CI/CD, and release standards. Ensure compliance with Responsible AI and data security policies.
Required: 12+ years enterprise software engineering, 4+ years leading engineering/architecture teams, deep Salesforce platform expertise, hands-on Agentforce/conversational AI experience, LLM integration experience, strong integration architecture knowledge, proven large-scale enterprise delivery.
Preferred: Salesforce Architect certifications, Data Cloud and RAG experience, prompt engineering knowledge, regulated industry exposure, multi-agent deployment experience.
