Description
We are seeking an experienced Agentforce Technical Manager to join our Global Delivery Centre (GDC). This role blends people leadership, technical architecture, and delivery ownership to scale Agentforce capabilities across global customer implementations.
Your Impact
- 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.
Minimum Qualifications
- 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.
- Strong knowledge of integration architectures and APIs.
- Proven experience delivering large-scale enterprise solutions.
Preferred Qualifications
- Salesforce Architect certifications (Application/System/CTA track).
- Experience with Data Cloud and RAG architectures.
- Knowledge of prompt engineering and AI orchestration frameworks.
- Experience in regulated industries (Finance, Healthcare, Insurance).
- Exposure to multi-agent deployments and autonomous workflows.
Technical Skills
- Apex, LWC, Flows, OmniStudio
- Agentforce Agent Studio & Skills
- Data Cloud & Vector Search
- MuleSoft / Integration Platforms
- Prompt Engineering & Grounding
- DevOps & CI/CD