Sales Engineer – AI & Agentic Sales Systems

WRS Health•Goshen, NY

1d•Hybrid

About The Position

WRS Health is a leading cloud-based Electronic Health Record (EHR) and Revenue Cycle Management (RCM) company serving medical specialties across the United States. We are transforming healthcare technology by leveraging artificial intelligence, autonomous agents, and advanced analytics to automate sales, marketing, and clinical workflows. We are seeking a highly technical Sales Engineer who can architect and build an AI-powered, agentic sales pipeline that drives scalable revenue growth. This is a hands-on engineering role for someone who enjoys designing intelligent systems that combine CRM automation, LLMs, cloud infrastructure, and data science.

Requirements

5+ years building enterprise software or AI solutions
Experience designing agentic AI systems or multi-agent workflows
Proven success building automated sales or marketing systems
Experience with HubSpot CRM or comparable enterprise CRM platforms (Salesforce, Microsoft Dynamics, Zoho CRM, etc.)
Strong experience integrating APIs and SaaS platforms
Experience implementing AI-driven workflow automation
Strong understanding of modern sales operations and pipeline management
Artificial Intelligence: Experience with modern Large Language Models including: OpenAI, Anthropic Claude, Google Gemini, Prompt engineering, Retrieval-Augmented Generation (RAG), AI evaluation and testing, AI orchestration frameworks, Agent memory and planning architectures
Cloud & Infrastructure: AWS, Serverless architecture, API Gateway
Programming: Python, JavaScript, TypeScript, SQL, REST APIs, Git, and CI/CD pipelines
Data & Analytics: Data modeling, Predictive analytics, Lead scoring, Business intelligence, Dashboard development, Marketing attribution, Sales forecasting
CRM & Automation: HubSpot, CRM workflow automation, Marketing automation, Customer segmentation

Nice To Haves

Experience in healthcare technology, EHR, SaaS, or Revenue Cycle Management
Experience building AI copilots or autonomous business agents
Familiarity with vector databases and semantic search
Knowledge of healthcare interoperability standards and APIs
Experience integrating conversational AI into customer engagement workflows
Understanding of MLOps and production AI deployment

Responsibilities

Design and build an agentic AI sales pipeline capable of autonomous lead qualification, nurturing, and opportunity management.
Develop AI agents that collaborate to perform tasks such as: Lead research, Prospect scoring, Personalized outreach, Follow-up automation, Meeting preparation, Proposal generation, CRM updates.
Engineer integrations between HubSpot (or similar CRM), AI services, marketing platforms, and internal systems.
Build workflows utilizing modern orchestration frameworks and multi-agent architectures.
Design prompt engineering strategies and evaluation pipelines for production AI systems.
Implement cloud-native AI infrastructure using AWS.
Develop dashboards and analytics that measure funnel performance, AI effectiveness, conversion rates, and revenue attribution.
Work closely with Sales, Marketing, Product, and Executive leadership to optimize the entire revenue lifecycle.
Evaluate and integrate emerging AI technologies into the sales organization.
Continuously improve AI agents through experimentation, A/B testing, and performance monitoring.