Principal Software Engineer

Stelle nicht auf LinkedIn

🕒 vor 1 Monat

⛰️ Colorado – Remote

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💵 $144.200 - $288.400 / Jahr

⏰ Vollzeit

🔴 Experte

🧑‍💻 Full-Stack-Entwickler

👻 Geisterscore 16%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of CVS Health

CVS Health

10.000+ Mitarbeiter

Gegründet 1963

🏥 Gesundheitswesen

⚕️ Krankenversicherung

🛒 Einzelhandel

Healthcare • Healthcare Insurance • Retail

CVS Health ist ein führendes amerikanisches Gesundheitsunternehmen, das sich der Verbesserung des Zugangs zu Gesundheitsdiensten und deren Erschwinglichkeit verschrieben hat. Das Unternehmen verfolgt einen umfassenden Ansatz, der Gesundheitsdienstleistungen, Krankenversicherungen und das Management von Apothekenleistungen umfasst. Durch seine Tochtergesellschaften, wie Aetna und CVS Caremark, bietet CVS Health eine Vielzahl von Dienstleistungen an, die Wohlbefinden, Krankheitsmanagement und erschwinglichen Versicherungsschutz für verschreibungspflichtige Medikamente erleichtern. CVS Health betreibt Apotheken in der Nachbarschaft, bietet Versandapothekendienste an und verwaltet Programme für Spezialmedikamente, um Gesundheitsversorgung für jeden bequem und zugänglich zu machen. Angetrieben von der Mission, Menschen mit wesentlichen Pflegediensten zu verbinden, ist CVS Health bestrebt, gesündere Gemeinschaften zu fördern und das Wohlbefinden aller Menschen zu unterstützen.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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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