AI Solutions Architect for Salesforce & Automation

Jobtailor

New Jersey

On-site

USD 120,000 - 170,000

Full time

3 days ago

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Job summary

Jobtailor is seeking a seasoned Salesforce AI implementation consultant in the United States (NJ area). You will lead discovery, design, and deployment of AI-enabled Salesforce solutions for clients, translating complex requirements into scalable configurations and workflows.

You will advise clients on Litify AI capabilities, coordinate with sales and engineering, and define success metrics for adoption across engagements.

Qualifications

4+ years of Salesforce implementation experience.
Advanced mastery of Salesforce Flows and modern automation tooling.
Experience serving as a trusted client advisor, including explaining complex AI architecture to technical and non-technical audiences.
Proven ability to own a technical workstream end-to-end from requirements to delivery with minimal oversight.
Experience in professional services, consulting, or client-facing implementation.
Experience designing and deploying AI agents or automated workflow solutions in a client-facing role.
Hands-on experience with LLM-based tools, prompt engineering, and agent orchestration frameworks.
Strong understanding of the Salesforce data model, security architecture, object relationships, and platform capabilities.

Responsibilities

Demo Litify AI capabilities to clients and prospects, tailoring demonstrations to legal workflows and use cases.
Lead discovery sessions and document client requirements.
Translate requirements into detailed solution designs.
Build and deploy custom AI agent workflows on Litify AI’s Salesforce-based framework.
Own configuration from design through go-live.
Advise clients on Litify AI capabilities, best practices, and product roadmap.
Scope, plan, and deliver AI implementations with the Project Manager on time and within budget.
Partner with Sales, Engineering, and Customer Success across the client journey.
Define deployment success metrics and drive adoption.
Document solution designs, configuration decisions, and implementation guides.
Surface client feedback and influence the AI roadmap with product and engineering teams.