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Salesforce and AI Architect

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Job Description - Salesforce and AI Architect

Senior Salesforce Technical Architect – AI & Agentforce

We are seeking a Senior Salesforce Technical Architect with deep expertise in Salesforce architecture, Agentforce, Einstein AI, and enterprise AI integrations. This role combines business consulting, solution architecture, and hands -on technical leadership to design and deliver AI -powered Salesforce solutions. You will work closely with stakeholders to identify transformation opportunities, design scalable Agentforce solutions, and drive AI adoption across the enterprise.

Key Responsibilities

Business Consulting & Strategy

  • Partner with stakeholders to define and prioritize Agentforce use cases.
  • Conduct discovery workshops to understand processes and automation opportunities.
  • Translate business problems into AI agent requirements and solution designs.
  • Define conversation flows, agent responsibilities, and KPIs for AI adoption.

Architecture & Solution Design

  • Design end -to -end Salesforce architecture across Sales Cloud, Service Cloud, Experience Cloud, and Data Cloud.
  • Architect scalable Agentforce solutions with orchestration, guardrails, and data access patterns.
  • Document architecture, agent designs, prompt strategies, and integrations.
  • Design RAG architectures leveraging Salesforce Data Cloud and enterprise data.

Agentforce Development & Implementation

  • Build and configure agents using Agentforce Studio, Prompt Builder, Flow orchestration, and Apex integrations.
  • Develop AI prompts and grounding strategies; contribute to Apex, LWC, and integration development.
  • Troubleshoot AI/platform issues and guide development teams.

AI & Platform Leadership

  • Provide technical leadership and establish AI best practices.
  • Define reusable AI solution patterns and mentor developers on AI -assisted techniques.
  • Promote AI tools for development acceleration, test automation, and documentation.

Integration & Data Architecture

  • Architect integrations with enterprise platforms and external LLM providers (OpenAI, Claude, Amazon Bedrock, Google).
  • Define data grounding, governance, and AI access patterns.

Stakeholder & Delivery Management

  • Translate requirements into technical user stories and solution approaches.
  • Support pre -sales discussions, estimate efforts, and identify risks.

Requirements

Required Qualifications

  • 12–18+ years IT experience; 8–12+ years Salesforce; 5+ years as Technical/ Solution Architect.
  • Hands -on experience delivering Agentforce or AI -driven Salesforce solutions.
  • Strong Salesforce skills: Apex, LWC, Flow, integration design, platform security, data modeling.
  • AI expertise: Agentforce design, prompt engineering, AI agent orchestration, Einstein AI, AI guardrails, RAG architectures.
  • Integration experience: REST APIs, Platform Events; MuleSoft preferred.
  • Strong consulting mindset, problem -solving, and communication skills.

Preferred

  • Vector database concepts, LLM integration patterns, AI evaluation techniques.


Benefits

Diversity Inclusion:

Exavalu also promotes flexibility, adapting to the needs of employees, customers, and the business. It might be part -time work, working outside normal 9 -5 business hours or working remotely. We also offer a welcome back program to help individuals return to the mainstream after a prolonged absence due to health or family reasons.
At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, colour, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career


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