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About Us:
Brado AI was created to help health systems transform how they connect, guide and care for patients. Built on our DNA of insight, empathy and trust, we scale our legacy through purpose-built, provider anchored AI. We are currently looking for a Forward Deployment Engineer to join our Delivery team.
The role:
The Deployment Engineer leads the deployment of our Conversational Engagement Platform (CEP) across health system clients. This role is responsible for translating defined requirements into fully configured production-ready environments.
They configure system behavior, workflows, AI prompt frameworks, integrations, and client-specific environments—ensuring CEP operates reliably, integrates seamlessly (e.g., with Epic), and aligns to real-world operational workflows. This role is focused on execution—building, testing, and maintaining scalable implementations within a standardized platform architecture.
This is a client-facing role—working directly with health system stakeholders (e.g., digital, access, clinical, IT) to gather requirements, validate configurations, and ensure successful deployment and ongoing performance.
Ideal candidates for this role will live in the St. Louis, MO metro area. Our Delivery team gathers in person several times each week to discuss client work, partner on projects and work together in our collaboration center located in "The Grove" neighborhood.
Key Areas of Responsibility:
Platform Set up and Configuration
AI Prompt Configuration (Within CEP Framework)
Workflow & Logic Implementation
Integration Implementation
Testing & Validation
Ongoing Maintenance & Optimization
Clinical & Compliance Expectations
Aligns with our values: People, Commitment, Aspiration, Trustworthiness & Impact
Bachelor's degree in data science, machine learning, computer science or related field
3+ years of experience in implementation engineering, solutions engineering or system configuration roles
Experience working with health care systems and/or providers
Understands healthcare operations and integrations with Epic and other EHRs
Exceptional attention to detail and strong problem-solving abilities
Ability to manage multiple projects simultaneously and adapt to changing priorities
Proficient in working with configuration files (e.g., YAML), Markdown, and basic HTML
Familiar with version control tools such as Git
Comfortable using the terminal; experience with scripting languages like Python
Production experience working with LLM-based systems, including prompt configuration, evaluation, and output validation
Experience translating requirements into structured workflows or rule-based systems
Ability to manage multiple implementations and timelines simultaneously
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