Principal Software Engineer

Emploi pas sur LinkedIn

🕒 il y a 21 jours

⛰️ Colorado – Distant

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💵 $144 200 - $288 400 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 11%

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🗣️🇺🇸🇬🇧 Anglais requis

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CVS Health

10 000+ employés

Fondée en 1963

🏥 Santé

⚕️ Assurance santé

🛒 Commerce de détail

Healthcare • Healthcare Insurance • Retail

CVS Health est une entreprise américaine de premier plan dans le domaine de la santé, dédiée à l'amélioration de l'accès et de l'accessibilité financière des soins de santé. L'entreprise s'appuie sur une approche globale qui comprend les services de santé, l'assurance santé et la gestion des prestations pharmaceutiques. À travers ses filiales, telles qu'Aetna et CVS Caremark, CVS Health propose une gamme de services qui favorisent le bien-être, la gestion des maladies chroniques et une couverture abordable des médicaments prescrits. CVS Health exploite des pharmacies de proximité, fournit des services de pharmacie par correspondance et gère des programmes de médicaments spécialisés, visant à rendre les soins de santé pratiques et accessibles à tous. Animée par une mission de connecter les individus aux services de soins essentiels, CVS Health s'engage à favoriser des communautés en meilleure santé et à soutenir le bien-être de toutes les personnes.

Description

• Lead end-to-end delivery of scalable, secure Generative AI services and applications across AWS Bedrock and Google Cloud Vertex AI • Architect and implement Retrieval-Augmented Generation (RAG) solutions using proprietary data from Amazon S3, Google Cloud Storage, and BigQuery • Design function/tool-calling and multimodal input solutions integrating enterprise systems through secure service interfaces • Define multi-cloud AI reference architectures, golden paths, guardrails, ADRs, and SLOs • Implement Responsible AI practices including safety filters, policy-enforced guardrails, data minimization, and red-teaming playbooks • Partner with Security, Privacy, and Legal on HIPAA/PHI compliance, encryption, access control, and auditability • Build AI evaluation and observability frameworks covering groundedness, hallucination, relevance, toxicity, drift, cost attribution, and A/B testing • Drive AI FinOps practices including prompt optimization, caching, batching, and model selection • Mentor Staff and Senior Engineers and elevate coding and design standards • Monitor AI developments and translate advances into platform strategy and roadmaps

🎯 Exigences

• 10+ years of progressive, hands-on IT experience spanning systems analysis, application design, application development, and leading engineering teams • 7+ years designing and developing modern microservices architectures and cost-effective APIs for enterprise-scale solutions • 7+ years managing stakeholder requirements and translating them into robust, secure, and scalable technical solutions • 5+ years building or leading large-scale, mission-critical applications focused on performance, resiliency, and security • 5+ years of hands-on delivery for enterprise cloud initiatives on AWS and/or Google Cloud, including architecture, deployment, and optimization • 5+ years implementing DevOps and CI/CD automation, including Kubernetes and Docker • 3+ years of software development emphasizing Generative AI and Large Language Models (LLMs) • Familiarity with AI/ML frameworks and libraries such as TensorFlow, PyTorch, and Scikit-learn, and productionizing AI systems • Ability to influence architecture decisions, lead cross-functional teams, and deliver complex solutions in compliance-conscious environments • Bachelor’s degree or equivalent experience; high school diploma plus 4 years of relevant work experience • Preferred: AWS Bedrock and/or Google Cloud Vertex AI experience • Preferred: RAG architectures, embeddings, chunking, retrieval/reranking, vector databases, and caching strategies • Preferred: Responsible AI, safety guardrails, bias/fairness testing, red-teaming, human-in-the-loop workflows, and policy compliance • Preferred: AI observability and evaluation, tracing/telemetry, cost attribution, A/B testing, groundedness, hallucination evaluation, and drift monitoring • Preferred: FinOps for AI workloads • Preferred: Terraform, CDK, GitOps, and event-driven architectures • Preferred: regulated-industry experience and knowledge of HIPAA/PHI, data governance, encryption, and access control • Preferred: multi-cloud awareness and vendor/model evaluation frameworks • Preferred: relevant AWS or Google Cloud certifications

🏖️ Avantages

• CVS Health bonus, commission or short-term incentive program • Award target in the company’s equity award program • Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being

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