Associate AI Platform Architect bei Notable

Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care, drive member enrollment, and patient acquisition, retention, and reimbursement, scaling growth without hiring more staff.

We are on a mission to improve the lives of patients, staff, and clinicians - to improve healthcare for humanity. This isn't just a lofty goal - it's something we're achieving every single day. When you join Notable, you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isn't just a number; it's a commitment to creating meaningful change on a massive scale.

Therefore, our culture is purposeful in pursuit of this mission. We believe our culture gives each person the opportunity to do the best work of their lives, work with the best teammates, and have fun achieving great things together.

Role Summary:

Notable’s AI Platform Architects are responsible for flow architecture and design, eliciting customer requirements, designing and configuring flows in Flow Builder, testing and validating configurations, and training customers on using the platform. At Notable, we are setting the bar for this emerging industry role. Our architects are problem solvers that possess a strong analytical mindset and a passion for partnering with healthcare leaders to drive business transformation. They demonstrate a deep understanding of the Flow Builder platform as well as using AI frameworks to balance efficiency, scalability and maximize value. This role translates technical concepts to non-technical audiences, and has high proficiency in leveraging LLMs to create workflow efficiencies.

Key Responsibilities

• Design and Implement Intelligent Workflows: Leverage Notable’s proprietary "Flow Builder" no-code interface and a library of pre-built "AI Agents" to design, build, and deploy intelligent workflows that automate complex healthcare challenges for customers.

• Contribute to Customer Success: Support senior team members in managing customer implementations from discovery through delivery, providing technical support and troubleshooting to ensure solutions are aligned with customer outcomes.

• Collaborate Across Internal Teams: Partner with peers, senior architects, and cross-functional teams to contribute to delivery initiatives and help channel customer feedback into product and engineering teams to influence future platform improvements.

• Drive Operational Excellence: Actively engage in a culture of continuous learning and improvement, applying best practices in documentation and project delivery to ensure the quality and timeliness of implementations.

• Deliver Tangible Business Value: Support the team in building solutions that improve efficiency, accuracy, and outcomes for Notable's customers, directly contributing to measurable results like reduced administrative costs and enhanced staff productivity.

• Learn and Utilize Project Management and Collaboration Tools: Effectively utilize Asana, Confluence, and GitHub, to streamline task management, document progress, and ensure the timely delivery of customer solutions.

Required Skills and Qualifications

• A Bachelor's degree in Computer Science, Artificial Intelligence, or a related technical field is required, or a minimum of 1-2 years of relevant experience in healthtech, enterprise software, solution architecture, or systems integration.

• Strong foundational technical skills, including a data-driven mindset and a proven ability to solve complex problems and learn new frameworks and technologies.

• Excellent written and verbal communication skills, with the ability to effectively collaborate with technical teams and explain complex concepts to non-technical stakeholders.

• A growth mindset, demonstrated by a commitment to learning and a proactive approach to seeking mentorship and feedback.

• A high degree of organization and attention to detail, ensuring the quality and timely delivery of work.

Bonus Points:

• Experience with workflow automation tools, scripting languages, or low/no-code platforms.

• Familiarity with Generative AI tools and techniques, including Large Language Models (LLMs) and prompt engineering.

• Knowledge of health system technologies such as Electronic Health Records (EHRs), CRMs, or care coordination tools is highly desirable.

• Experience in a SaaS or enterprise software environment, with a clear understanding of the full software development and delivery lifecycle.

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