[Remote] Enterprise AI & Automation Architect (Sales Focus)
Key Details • Experience Level: Senior (5 to 8 years), Expert & Leadership (9+ years) • Job Type: Full Time • Visa Sponsorship: Unknown • Industries: Technology, Healthcare Responsibilities 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 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 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 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 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 Requirements 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 Skills • Salesforce • Agentforce AI • Generative AI • GPT models • Vector Database • AWS Bedrock • Amazon Aurora • pgvector • RAG • MuleSoft • UiPath • AWS Step Functions • Einstein • Copilot Apply tot his job