# Forward Deployment Engineer

**Company:** [Brado](http://jobs.workable.com/companies/e23A3eDGiALFRzPtvAxTDx.md)
**Location:** St. Louis, United States
**Workplace:** hybrid
**Employment type:** Full-time
**Department:** Brado AI- Strategy

[Apply for this job](http://jobs.workable.com/view/ae7eefdb-6e8e-43c0-b004-9c2b1648757d)

## Description

**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

-   Configure CEP environments for each client, including system settings, workflow orchestration, and deployment configurations
-   Translate documented requirements into structured configurations within the platform
-   Manage environment setup, versioning, and release readiness across implementations

AI Prompt Configuration (Within CEP Framework)

-   Configure and adapt AI prompts within the CEP prompt framework using client-specific parameters, routing rules, and content variants
-   Ensure prompt configurations align with standardized templates, guardrails, and system behavior
-   Avoid prompt fragmentation by maintaining consistency with core platform logic and reusable patterns
-   Test and validate prompt performance within configured workflows to ensure predictable, controlled outputs

Workflow & Logic Implementation

-   Implement routing logic across care settings (e.g., primary care, urgent care, specialty) based on defined rules
-   Configure escalation pathways and decision logic aligned to clinical and operational requirements
-   Ensure workflows reflect real-world access, scheduling, and service line operations

Integration Implementation

-   Configure and support integrations with EHR systems (primarily Epic)
-   Enable capabilities such as scheduling, provider lookup, and data exchange
-   Partner with engineering and client IT teams to validate data flows, authentication, and system performance

Testing & Validation

-   Execute end-to-end testing of workflows, integrations, and prompt configurations
-   Execute validation protocols defined by cross-functional teams (e.g., clinical, product, compliance) to ensure outputs align to expected behavior
-   Support UAT (user acceptance testing) and ensure production readiness

Ongoing Maintenance & Optimization

-   Maintain and update configurations as workflows, integrations, or requirements evolve
-   Troubleshoot issues related to system behavior, integrations, or configuration errors
-   Implement enhancements in a controlled, scalable way across clients

Clinical & Compliance Expectations

-   Operate within defined clinical safety frameworks; do not independently establish clinical logic or safety thresholds
-   Execute validation and testing protocols defined by clinical and cross-functional leadership
-   Adhere to all data privacy and security requirements, including HIPAA compliance and proper handling of PHI

## Requirements

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

## Benefits

-   Health Care Plan (Medical, Dental & Vision)
-   Retirement Plan (401k, IRA)
-   Life Insurance (Basic, Voluntary & AD&D)
-   Paid Time Off (Vacation, Sick & Public Holidays)
-   Short Term & Long Term Disability