Staff Software Development Engineer – Agentic AI/ML

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🕒 vor 1 Tag

🗣️🇺🇸🇬🇧 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 the architecture, design, and implementation of scalable, secure, resilient, and maintainable enterprise software solutions • Establish architecture principles, design patterns, reference architectures, engineering standards, and technical guardrails • Lead architecture reviews, design discussions, and technical decision-making forums • Design, develop, and deploy cloud-native APIs, microservices, CI/CD pipelines, and real-time streaming solutions on public cloud platforms • Remain hands-on in software design, coding, code reviews, debugging, and troubleshooting • Design, implement, and improve CI/CD pipelines for automated build, testing, security scanning, deployment, and release management • Identify high-value AI use cases and translate them into scalable technical solutions • Design, build, and deploy enterprise-grade Agentic AI and Generative AI solutions • Support model evaluation, prompt evaluation, response quality assessment, guardrails, responsible AI practices, and AI governance • Integrate LLMs, AI/ML models, vector stores, orchestration frameworks, and cloud-native services into enterprise applications • Communicate complex technical concepts to engineering teams, architects, product owners, business stakeholders, and senior leadership • Partner with cross-functional teams to align technology execution with business outcomes • Modernize Claims Adjudication technology while integrating with legacy IBMi/AS400 systems

🎯 Anforderungen

• 7+ years of software engineering experience, including significant experience designing and building enterprise-scale software systems • Strong architecture experience across distributed systems, microservices, APIs, event-driven architecture, domain-driven design, and cloud-native platforms • Hands-on application development experience in Python, Java, React, and other open-source frameworks • 2+ years of experience designing or implementing Generative AI, Agentic AI, LLM-based, or AI/ML-enabled applications • Experience with Enterprise RAG patterns, vector databases, embeddings, prompt engineering, AI orchestration, and AI application integration • Experience implementing CI/CD pipelines and DevSecOps practices using Azure DevOps, GitHub Actions, Jenkins, GitLab CI/CD, or equivalent • Exposure to observability practices including logging, tracing, monitoring, reporting, and production troubleshooting • Strong verbal and written communication skills • Experience leading complex technical initiatives, setting technical direction, mentoring engineers, and driving execution across teams • Preferred: 10+ years leading concurrent technical projects involving legacy IBMi/AS400 or similar and emerging technologies • Preferred: Health care industry domain knowledge • Preferred: Experience with RxClaim or other PBM adjudication systems • Preferred: Experience with Agentic AI frameworks such as Semantic Kernel, LangGraph, LangChain, AutoGen, CrewAI, or equivalent • Preferred: Experience leading enterprise AI transformation initiatives and defining Agentic AI and Generative AI adoption standards • Preferred: Experience designing and implementing AI agents using tool calling, reasoning frameworks, workflow orchestration, multi-agent systems, and autonomous execution patterns • Bachelor’s degree or equivalent experience

🏖️ Vorteile

• CVS Health bonus, commission or short-term incentive program in addition to base pay • 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, based on eligibility

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