Principal Engineer, Transformation Engineering

🕒 6 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $131.243 - $196.865 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

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Mosaic Health

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

🏥 Saúde

👥 B2C

Healthcare • B2C

A Mosaic Health é uma plataforma nacional de prestação de cuidados de saúde focada em expandir o acesso a cuidados primários abrangentes para consumidores cobertos por planos de saúde Comerciais, de Intercâmbio Individual, Medicare e Medicaid. Ela reúne múltiplas unidades operacionais e marcas (incluindo CareMore Health, Millennium Physician Group/MPG, Castlight Health, Vera Whole Health e apree health) para oferecer serviços coordenados de cuidados primários e capacidades relacionadas à gestão de cuidados em diversos tipos de pagadores. O site corporativo e a lista de lideranças da Mosaic Health refletem uma estrutura de plataforma centralizada com lideranças executivas supervisionando unidades de negócios e parcerias estratégicas.

Descrição

• Work with operational teams to understand workflows, handoffs, exceptions and data sources • Turn business objectives into practical technical plans and drive next steps • Build, collaborate on, and maintain AI-enabled applications, backend services and integrations • Apply language models, retrieval-augmented generation, structured outputs and tool calling to operational problems • Design and maintain data pipelines for ingesting, transforming, validating and delivering structured and unstructured data • Prototype and evaluate models, frameworks and software tools • Build evaluation datasets and automated tests for model outputs, retrieval quality and complete workflows • Partner with IT, data and security teams on architecture, access, integrations and deployment • Build pilots and transition approved solutions to industrialized production environments • Collaborate with consultants and vendors while retaining hands-on ownership of deliverables • Review designs and code, contribute directly to implementation, and ensure documentation and knowledge transfer • Work with business owners and Finance partners on pilot rollout, user feedback and value validation • Track adoption, cycle time, manual effort, error rates, and operational and financial value

🎯 Requisitos

• Typically, 5-7 years of software engineering experience, including substantial hands-on experience building and deploying AI-enabled applications • Demonstrated ownership of production systems and ability to explain technical decisions, failures and improvements • Evidence of taking a product or workflow from initial idea through pilot deployment and value validation • Strong backend development skills in Python and/or TypeScript • Proficiency in SQL • Experience designing APIs, services and database schemas • Practical understanding of language model APIs, embeddings, retrieval-augmented generation, structured outputs and tool calling • Experience evaluating AI systems with representative datasets and measurable quality criteria • Deep understanding of cloud infrastructure and distributed applications, including compute, storage, networking, identity and access management, containers, queues, observability and CI/CD • Experience diagnosing production issues and making reliability, security and cost tradeoffs • Hands-on experience designing and operating data pipelines, including ETL/ELT, batch and event-driven processing, orchestration, data validation and monitoring • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field required • 5-7 years of progressive software engineering experience, including significant experience as a technical lead, software architect, or principal engineer responsible for enterprise-scale software platforms • Expert-level knowledge of software architecture, distributed systems, cloud-native application development, microservices, API design, engineering automation, CI/CD, secure software development, and enterprise application design • Demonstrated expertise establishing engineering standards for AI-assisted software development, responsible AI adoption, code provenance, data privacy, software quality, and engineering governance • Deep experience implementing and advancing full-stack observability capabilities • Proven ability to influence enterprise technology strategy and lead cross-functional engineering initiatives • Exceptional analytical, communication, mentoring, and technical leadership skills

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