Lead AI Architect

🕒 Setembro 12

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 16%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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FinThrive

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

🏥 Saúde

☁️ SaaS

🤖 Inteligência Artificial

💰 $1.000.000 Series A em 2010-02

Healthcare • SaaS • Artificial Intelligence

A FinThrive é uma empresa de tecnologia de gestão de ciclo de receita em saúde que oferece soluções baseadas em inteligência artificial e dados inteligentes para hospitais, sistemas de saúde, práticas ambulatoriais e de médicos, pagadores e organizações de ciências da vida. Sua plataforma FinThrive Fusion unifica dados isolados do ciclo de receita para permitir análises preditivas, fluxos de trabalho com IA agente e inteligência operacional. As ofertas de produtos incluem acesso do paciente, integridade de receita (captura de cobranças e compliance), otimização de receita (reclamações, prevenção de negações, precisão de pagamentos), análises empresariais e conteúdos de aprendizado projetados para melhorar o fluxo de caixa, reduzir negações e agilizar operações de receita. A FinThrive se posiciona como uma provedora de SaaS que entrega capacidades de IA e automação para melhorar o desempenho financeiro e a eficiência operacional ao longo do ciclo de receita em saúde.

Descrição

• Define and maintain the architectural vision, principles, standards, and reference architectures for FinThrive's AI platform and AI-enabled products • Lead the long-term evolution of agentic AI, RAG, knowledge systems, intelligent automation, machine learning, and emerging AI technologies • Define integration of AI capabilities, intelligent agents, automation services, knowledge systems, and machine learning solutions with FinThrive products and platforms • Establish enterprise integration patterns, AI architecture standards, governance frameworks, and operational processes • Guide strategic technology decisions involving AI platforms, cloud providers, model hosting, vector databases, orchestration frameworks, AI infrastructure, build-versus-buy evaluations, and platform investments • Collaborate with product, engineering, architecture, security, compliance, and executive leadership teams • Lead architecture reviews for major AI initiatives, covering system design, scalability, resiliency, interoperability, security, compliance, and cost optimization • Develop multi-year technology roadmaps for AI enablement across FinThrive's product portfolio and business operations • Create reusable architecture patterns and technical guidance for consistent, scalable, secure, and maintainable AI solutions • Research emerging technologies and industry trends for healthcare revenue cycle management and AI strategies • Mentor Lead AI Engineers, Senior II AI Engineers, and other technical leaders • Provide hands-on technical leadership through prototypes, proof-of-concepts, design reviews, and critical problem resolution

🎯 Requisitos

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Engineering, Software Engineering, or a related technical discipline • 15+ years of experience in software engineering, platform engineering, machine learning, data engineering, solution architecture, enterprise architecture, or related technical leadership roles • 8+ years of experience designing enterprise AI, machine learning, analytics, or intelligent automation solutions • Deep understanding of generative AI, agentic AI, retrieval-augmented generation (RAG), natural language processing, machine learning, information retrieval, intelligent automation platforms, prompt engineering, fine-tuning, parameter-efficient fine-tuning (PEFT), and retrieval-based approaches • Experience evaluating and selecting model customization strategies, including prompting, RAG, fine-tuning, continued pretraining, and domain-specific model adaptation • Experience designing enterprise-scale architectures across cloud, application, integration, data, security, and AI domains • Experience architecting AI solutions using Azure AI, Azure OpenAI, Azure AI Search, Databricks, AWS Bedrock, SageMaker, or equivalent technologies • Strong understanding of modern AI frameworks, orchestration platforms, open-weight models, evaluation frameworks, observability tooling, and AI governance practices • Experience establishing architecture standards, technology roadmaps, governance processes, and enterprise engineering practices • Demonstrated experience designing architectures spanning multiple applications, platforms, business domains, and technology stacks • Proven ability to influence technical direction across multiple teams, products, and organizational boundaries • Excellent communication, presentation, and stakeholder-management skills • Strong understanding of software development lifecycle practices, DevSecOps, MLOps, platform engineering, security principles, and cloud-native architectures • Preferred: Master's degree in a related technical discipline • Preferred experience as an Enterprise Architect, AI Architect, Principal Architect, Solution Architect, or similar strategic architecture role • Preferred experience in regulated industries such as Healthcare, Financial Services, Insurance, or Consumer Credit • Preferred experience with healthcare standards, claims data, clinical data, FHIR, HL7, medical coding systems, and knowledge graphs • Preferred experience defining responsible AI frameworks, AI governance programs, model risk management practices, and enterprise AI policies • Preferred experience evaluating and deploying open-weight foundation models in cloud-hosted and self-hosted environments • Preferred experience with SFT, LoRA/PEFT, reinforcement learning methods, and synthetic data generation • Preferred experience developing enterprise technology roadmaps and leading platform modernization initiatives • Preferred experience leading enterprise-scale multi-agent platforms, intelligent automation programs, or large-scale AI transformation initiatives • Preferred contributions to open-source projects, patents, publications, conference presentations, industry forums, or other thought leadership activities