Principal Engineer, Transformation Engineering

🕒 il y a 8 jours

🇺🇸 États-Unis – Télétravail

💵 $131 243 - $196 865 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Mosaic Health

Site WebLinkedInTous les Emplois

1001 - 5000 employés

🏥 Santé

👥 B2C

Healthcare • B2C

Mosaic Health est une plateforme nationale de prestation de soins axée sur l'élargissement de l'accès à des soins primaires complets pour les consommateurs couverts par des plans de santé Commercial, Échange Individuel, Medicare et Medicaid. Elle rassemble plusieurs unités opérationnelles et marques (y compris CareMore Health, Millennium Physician Group/MPG, Castlight Health, Vera Whole Health, et apree health) pour fournir des services de soins primaires coordonnés et des capacités de gestion des soins connexes à travers différents types de payeurs. Le site corporatif de Mosaic Health et son annuaire de direction reflètent une structure de plateforme centralisée avec une direction exécutive supervisant les unités commerciales et les partenariats stratégiques.

Description

• 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

🎯 Exigences

• 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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