Applied AI Architect CRM Platforms

Accuris

2d•$180,000 - $200,000

About The Position

Accuris is hiring an Applied AI Architect for its Enterprise Technology & AI team. The role designs and delivers AI agents, assistants, and automations across CRM and revenue systems, while owning the architecture of the platforms that support them. It is a hands-on builder position that involves writing code, establishing engineering patterns, and taking projects from business discovery through production adoption. The role works with Sales, Deal Management, GTM, Client Services, Contract Management, Legal, Finance, and Product. The architect owns the CRM and revenue platform architecture, with Salesforce as the system of record. Responsibilities include building and extending Salesforce capabilities, including custom CPQ for pricing, quoting, and approvals; designing integrations with business systems; and ensuring systems are AI-ready. The role also leads project delivery, testing, releases, and adoption, while evaluating AI quality, safety, cost, and business impact.

Requirements

Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience.
8+ years of experience building enterprise software or custom CRM solutions.
Experience shipping AI or LLM features to production on business systems, such as agents, retrieval, tool use, or workflow automation.
Daily hands-on use of AI tools across the software development lifecycle.
Deep hands-on Salesforce experience, including Lightning Web Components, Apex design patterns, Flow, the security model, and governor limits.
Experience with Python or TypeScript, as well as Apex and SQL.
Working knowledge of quote-to-cash processes, including CPQ, contracts, orders, billing, and renewals.
Proven project or program leadership across multiple teams, with working knowledge of Agile and Jira.
Clear written and verbal communication in English for technical and non-technical audiences.

Nice To Haves

Experience safely exposing enterprise data to AI models in production.
Experience with LLM evaluation and observability tooling.
SAP or Snowflake integration experience.

Responsibilities

Design, build, and run AI agents and assistants on business systems using retrieval, tool use, MCP connectors, and headless/API-first patterns; select appropriate approaches, including non-AI solutions where suitable.
Learn and map Sales, Deal Management, Contracts, and Finance processes to identify opportunities for automation and AI.
Build evaluation into AI delivery, including test sets, accuracy and safety checks, human review, and production monitoring.
Manage AI usage costs, including cost per call, token use, and model selection, and measure ROI through hours saved, cycle time, and revenue impact.
Own CRM and revenue platform architecture, including the Salesforce data model, security, automation, and integration patterns.
Build and extend Salesforce in Apex, Lightning Web Components, and Flow, including custom CPQ for pricing, quoting, and approvals.
Design integrations with SAP, DocuSign, HubSpot, Snowflake, and other tools through APIs and services on AWS.
Optimize data models and reduce technical debt on a quarterly basis.
Run releases through the DevOps pipeline using GitHub, Gearset, and CI/CD, with testing as a formal gate.
Write designs and specifications for others to build from, and mentor engineers and administrators.
Plan and run projects end to end in Jira, including backlog, sprints, dependencies, risks, and status.
Lead user acceptance testing, cutover, and adoption.
Use AI tools such as Claude and GitHub Copilot across design, coding, testing, documentation, and review.