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Brado

Forward Deployment Engineer

Brado

Forward Deployment Engineer for health systems deploying the Conversational Engagement Platform. Configuring client-specific environments and ensuring reliable integrations with real-world workflows.

Posted 6/11/2026full-timeSt. Louis • Montana • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

What you’ll need
  • 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

Comp & perks
  • 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

ATS Keywords

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Hard Skills & Tools
system configurationworkflow orchestrationAI prompt configurationEHR integrationdata exchangeYAMLMarkdownHTMLPythonLLM-based systems
Soft Skills
attention to detailproblem-solvingproject managementadaptabilitycollaboration
Certifications
Bachelor's degree in data scienceBachelor's degree in machine learningBachelor's degree in computer science