Agent Architect

Litify

4d•$120,000 - $130,000•Hybrid

About The Position

The Agent Architect is a technical leader responsible for designing and building autonomous AI workflows (“agents”) that drive measurable ROI for clients. This role bridges the gap between high-level business goals and technical execution, ensuring that AI demo environments and client trials are configured for maximum success.

Requirements

2+ years of hands-on experience with the Salesforce platform and Litify software.
Strong technical knowledge of Salesforce administration and configuration; Salesforce Certified Agentforce Specialist required.
2+ years experience working on Salesforce Automations. Strong Flow knowledge with emphasis on record triggered flows, collections, loops, and working with and configuring 3rd party lightning components
Project Management experience; you have experience running complex projects, uphold stakeholder expectations, maintaining scope, time & budgetary constraints.
Excellent communication, both written and verbal. You are comfortable discussing complex technical topics to a wide variety of audiences. You have strong presentation skills and can effortlessly facilitate meetings and presentations
Ability to handle multiple customers & tasks simultaneously and providing lightning fast responses for AI/Agentic free trials.

Nice To Haves

Salesforce Advanced Administrator Certification preferred

Responsibilities

Build and maintain advanced agentic flows within demo and trial environments, such as Policy Agents, Damages Assistants, and Litigation Agents.
Collaborate with sales and success teams to conduct pre-trial "Trial Objectives" calls, identifying key workflows, prompts, and autonomous agents tailored to client needs.
Lead the configuration of AI prompt libraries and build autonomous workflows during the trial discovery and setup phase.
Provide technical guidance to Sales Engineers and other team members on building custom demo flows and updating demo orgs for new product releases.
Navigate complex permission issues, perform end-user testing, and provide ongoing technical support during trial check-ins to optimize for adoption.
Lead additional workflow customizations and configurations following full rollout to ensure long-term client retention and success.
Develop internal and external-facing AI and Agent documentation.
Develop and deliver ongoing training to LSAP and Customer Success as a whole to ensure Agentic knowledge growth.