Agentforce Architect Salesforce Architecture
- VRK IT VISION
2 Days Ago
100-120 per Annum
NA
Remote
10-44 Years
Required Skills: Agentforce Architect Salesforce Architecture
Job Description
Role:Agentforce Architect Salesforce Architecture
Full-time
Location: Flexible/Remote
Overview
The Agentforce Architect serves as a strategic and technical leader responsible for shaping, implementing, and evolving the organization’s Agentforce initiatives. This role drives innovation at the intersection of artificial intelligence, Salesforce technologies, and enterprise solutions—ensuring that Agentforce is securely, seamlessly, and intelligently integrated across business operations. The ideal candidate is a deeply technical strategist who can bridge the gap between architecture, engineering, and business outcomes.
Key Responsibilities
· Lead the vision, strategy, and architecture for Agentforce adoption across Salesforce ecosystems (Service Cloud, Health Cloud, Sales Cloud, etc.).
· Serve as a thought leader for the Technology Organization, translating the possibilities of Agentforce into actionable business capabilities.
· Architect secure, scalable, and compliant Agentforce solutions, leveraging Salesforce’s Einstein Trust Layer and industry best practices for AI governance and data protection.
· Drive data strategy for AI, ensuring incoming data—especially from Salesforce Data Cloud—is accessible, clean, complete, and optimized for AI readiness.
· Define integration and orchestration patterns with MuleSoft and related tools to connect Agentforce seamlessly with enterprise data and processes.
· Serve as the technical authority on prompt engineering and LLM utilization, establishing best practices for model prompting, testing, and optimization.
· Educate and enable both technical and non-technical stakeholders, ensuring complex ideas—like AI-driven agents, context modeling, and trust-layer mechanics—are understood by executives, administrators, and developers.
· Collaborate with cross-functional leaders to ensure AI and Agentforce solutions are aligned with enterprise governance, compliance, and operational goals.
· Stay up to date with Salesforce innovations and Agentforce announcements, incorporating new features and approaches into internal architecture and delivery strategies.
· Mentor and coach internal developers, architects, and business technologists to build internal capability around Agentforce.
Required Skills & Qualifications
· 8+ years of experience in Salesforce Architecture, Solution Engineering, or Development Leadership positions.
· Demonstrated expertise in Salesforce Data Cloud, MuleSoft, and Einstein platform technologies, including the Trust Layer.
· Hands-on experience building, deploying, and optimizing AI Agents in Agentforce and integrating them across applications and data systems.
· Strong knowledge of AI principles, LLM frameworks, and prompt engineering methodologies.
· Deep understanding of enterprise data modeling, data governance, and metadata-driven architecture within Salesforce ecosystems.
· Proven ability to define and implement security, privacy, and compliance models in complex regulated industries (healthcare experience preferred).
· Exceptional communication and storytelling skills, with the ability to engage executive stakeholders and mentor diverse technical teams.
· A proactive, confident, and strategic thought leader who can guide both innovation and execution across multiple disciplines.
Preferred Experience
· Salesforce Certified Technical Architect (CTA) or comparable architectural certification.
· Previous experience leading AI architecture or Agentforce projects at enterprise scale.
· Deep familiarity with Salesforce Health Cloud, and enterprise data integration use cases in healthcare or similarly regulated industries.
Role Type
· Full-time – Technology Strategy & Innovation Team
· Reports to: VP, Technology Strategy and Architecture
· Location: Flexible/Remote (with potential travel for collaboration and enablement sessions)
This position is ideal for a technical visionary who can lead with both hands-on expertise and strategic influence, aligning advanced AI capabilities with enterprise value creation.
