Principal AI Engineer

🔥 4 minutes ago

🏈 Ohio – Remote

🏈 Ohio – Remote

💵 $195k - $325k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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McKesson

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1833

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

McKesson is a diversified healthcare leader specializing in pharmaceutical distribution, medical supplies, and healthcare services. Their solutions facilitate patients' access to life-changing therapies, support efficient operations for pharmacies, health systems, and clinics, and address critical issues such as drug shortages through a resilient supply chain. McKesson provides comprehensive services such as pharmacy management software, consulting, and technology solutions for specialty practices, focusing on improving health outcomes and advancing the pharmaceutical industry. They work closely with biopharma companies to enhance medication access, adherence, and commercialization while supporting oncology and biopharma practices through data-driven insights and real-world evidence.

📋 Description

• Own the multi-year technical strategy and roadmap for McKesson's 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 • Set and evolve architecture, security, and evaluation standards across multiple teams • Advise VP- and executive-level leadership on AI platform strategy, model risk, and investment trade-offs • Lead architecture and prototyping for high-ambiguity, high-risk AI initiatives • Develop Lead and Senior AI Engineers through design review, coaching, and knowledge-sharing • Shape enterprise AI governance policy, including model risk review, connector/tool approval, and PHI-handling standards • 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

🎯 Requirements

• 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 • Proven track record 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 large language model APIs such as Anthropic and OpenAI • Experience with tool-integration protocols such as Model Context Protocol (MCP) • Strong software engineering fundamentals: 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, including usage attribution, cost/spend monitoring, abuse detection, and model evaluation pipelines • Ability to influence and align senior engineering and executive stakeholders without direct authority • Familiarity with regulated/healthcare data environments and AI governance frameworks • Advanced degree in Computer Science, AI/ML, or a related technical field preferred • Prior Principal, Staff, or Distinguished Engineer experience setting AI/ML technical strategy across multiple teams preferred • 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 • 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

🏖️ Benefits

• Competitive compensation package • Annual bonus or long-term incentive opportunities may be offered • Equal employment opportunities • Reasonable accommodation for job search or application