Enterprise AI & Automation Architect (Sales Focus)

Enterprise AI & Automation Architect (Sales & Service Focus)

Role Overview

We are seeking an Enterprise AI and automation Architect to lead the strategy, design, and implementation of AI-driven and automation-enabled solutions across Sales and Service. This role requires expertise in Salesforce Agentforce AI, Generative AI (GPT models), and vector database technologies (including AWS Bedrock and Amazon Aurora/pgvector).

You will partner with Sales, Service, IT, and executive leadership to define the AI roadmap, integrate Salesforce with enterprise AI services, and deliver intelligent, context-aware automations that improve both employee productivity and customer experience.

Key Responsibilities

AI & Automation Strategy

• Define and drive the enterprise AI strategy for Sales and Service with Agentforce AI as a core enabler.
  
  
• Identify and prioritize use cases such as AI-powered account summaries, case deflection, pipeline forecasting, and knowledge mining.
  
  
• Build ROI models and present AI adoption strategies to leadership.
  
  

Solution Architecture

• Architect solutions that combine Salesforce (Agentforce AI, Copilot, Einstein) with GPT-based LLMs (OpenAI, Anthropic, or Azure OpenAI).
  
  
• Design and deploy RAG (Retrieval-Augmented Generation) pipelines using AWS vector database services (Amazon Bedrock Knowledge Bases, Amazon Aurora pgvector, OpenSearch vector search).
  
  
• Integrate Salesforce with ERP, CTMS, HRIS, and call center platforms for end-to-end automation.
  
  

Automation & Orchestration

• Develop multi-agent automation workflows that log activities, generate account insights, and orchestrate Sales & Service operations.
  
  
• Leverage MuleSoft, UiPath, or AWS Step Functions for cross-platform orchestration.
  
  
• Establish standards for prompt libraries, embeddings, and reusable automation components.
  
  

Governance & Compliance

• Ensure all AI workflows (Salesforce + GPT + AWS) meet RBAC, ITGC, HIPAA/GDPR requirements.
  
  
• Define guardrails, observability, and fallback strategies for AI agents.
  
  
• Partner with InfoSec, Legal, and Compliance teams to enforce responsible AI.
  
  

Collaboration & Leadership

• Act as a trusted advisor to Sales Ops, Service Ops, and IT executives.
  
  
• Mentor teams of Salesforce admins, AI engineers, and data architects.
  
  
• Manage vendor partnerships with Salesforce, AWS, and AI/automation providers.
  
  

Required Qualifications

• 10+ years in enterprise architecture, AI/automation, or CRM solution leadership roles.
  
  
• Hands-on expertise with Salesforce Agentforce AI, Copilot, and Einstein.
  
  
• Experience with GPT/LLM solutions (OpenAI GPT, Anthropic Claude, or Azure OpenAI).
  
  
• Strong knowledge of vector databases including AWS Bedrock Knowledge Bases, Amazon Aurora pgvector, Pinecone, Weaviate, or MongoDB Atlas Vector Search.
  
  
• Proven ability to integrate Salesforce with AI pipelines and enterprise automation tools.
  
  
• Strong executive communication and stakeholder management skills.
  
  

Preferred Qualifications

• Salesforce certifications (AI Specialist, Data Cloud Consultant, CTA).
  
  
• AWS certifications (Solutions Architect, Machine Learning Specialty).
  
  
• Experience with AWS SageMaker, Step Functions, and Lambda for orchestration.
  
  
• Familiarity with call center solutions (Twilio, Calabrio, Five9).
  
  
• Industry experience in Life Sciences, Healthcare, or SaaS.
  
  

Key Performance Indicators (KPIs)

• Adoption and ROI of Agentforce AI + GPT-powered workflows.
  
  
• Faster case resolution rates and sales forecasting accuracy.
  
  
• % of Sales/Service processes automated end-to-end.
  
  
• Compliance posture (zero audit exceptions).
  
  
• Business adoption of vector database–powered AI assistants.

The pay range is listed and actual compensation