Principal AI Engineer

🕒 Outubro 27

🏈 Ohio – Remoto

🏈 Ohio – Remote

💵 $195.000 - $325.000 / ano

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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McKesson

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1833

💼 Consultoria

📦 Logística

🏥 Saúde

Consulting • Logistics • Healthcare

A McKesson é uma líder diversificada em saúde, especializada em distribuição farmacêutica, suprimentos médicos e serviços de saúde. Suas soluções facilitam o acesso de pacientes a terapias transformadoras, apoiam operações eficientes para farmácias, sistemas de saúde e clínicas, e abordam questões críticas como a escassez de medicamentos por meio de uma cadeia de suprimentos resiliente. A McKesson oferece serviços abrangentes como software de gestão de farmácias, consultoria e soluções tecnológicas para práticas especializadas, focando em melhorar os resultados de saúde e promover a indústria farmacêutica. Eles trabalham em estreita colaboração com empresas biofarmacêuticas para melhorar o acesso a medicamentos, adesão e comercialização, enquanto apoiam práticas oncológicas e biofarmacêuticas por meio de insights orientados por dados e evidências do mundo real.

Descrição

• Own the multi-year technical strategy and roadmap for the enterprise AI platform across all teams • Set model strategy, RAG/retrieval architecture, connector ecosystems, and evaluation frameworks • Serve as the final technical escalation point for complex architecture and reliability problems across multiple teams and systems • Set, audit, and evolve architecture, security, and evaluation standards • Advise VP- and executive-level leadership on AI platform strategy, model risk, and investment trade-offs • Lead architecture and prototyping for the highest-ambiguity, highest-risk AI initiatives • Develop Lead and Senior AI Engineers through design reviews, technical coaching, and structured knowledge-sharing • Shape enterprise-wide AI governance policy with Legal, Compliance, and Privacy leadership • Own evaluation and long-term strategy for foundation model providers and AI infrastructure vendors • Represent McKesson’s AI engineering capability in industry forums, partner/vendor relationships, and senior technical recruiting • Influence AI platform direction and investment across the broader enterprise

🎯 Requisitos

• Bachelor's degree or equivalent experience; fewer years required with a relevant Master's or Doctorate • Typically 12+ years of software engineering experience • 6+ years focused on AI/ML, LLM, or NLP systems in production • 3+ years operating as a senior individual-contributor technical leader • Technical leadership above a Lead AI Engineer across multiple teams • Experience setting technical strategy adopted by multiple teams • Hands-on expertise building production LLM applications at scale, including prompt engineering, RAG, agentic workflows, tool use, and evaluation harnesses • Experience with commercial LLM APIs such as Anthropic and OpenAI • Experience with tool-integration protocols such as Model Context Protocol (MCP) • Proficiency in Python and/or Java, REST APIs, event-driven architecture, microservices, and cloud-native design • Azure preferred; AWS/GCP acceptable • Experience with vector/graph retrieval systems, embeddings, and knowledge-base architectures at production scale • Deep working knowledge of LLMOps/MLOps, usage attribution, cost/spend monitoring, abuse detection, and model evaluation pipelines • Ability to influence senior engineering and executive stakeholders without direct authority • Familiarity with regulated/healthcare data environments and AI governance frameworks, including model risk review, connector approval tiers, and PHI handling • Preferred: advanced degree in Computer Science, AI/ML, or related technical field • Preferred: Principal, Staff, or Distinguished Engineer experience setting AI/ML strategy across multiple teams in healthcare IT or another highly regulated industry • Track record of publications, patents, open-source contributions, or industry speaking on applied AI/LLM systems preferred • Experience shaping enterprise-wide AI governance policy preferred • Awareness of the GenAI/agentic landscape and ability to distinguish durable technical bets from hype • Experience managing strategic relationships with AI infrastructure vendors and model providers • Exceptional written and verbal communication for executive, board-level, and external technical audiences • Must reside in the United States; sponsorship is unavailable presently or in the future

🏖️ Benefícios

• Competitive compensation package • Annual bonus may be offered • Long-term incentive opportunities may be offered • Benefits through McKesson’s Total Rewards program • Equal employment opportunities • Reasonable accommodation for applicants with disabilities

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