AI-First Full-Stack Architect for Enterprise Health Tech

McKesson

United States

On-site

USD 140,000 - 190,000

Full time

7 days ago

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Job summary

McKesson is seeking a Senior AI-First Full Stack Engineer to build the next generation of intelligent healthcare technology solutions supporting one of the nation's leading specialty pharmacy organizations.

The role combines strong full stack engineering with Generative AI innovation to deliver production-grade applications powered by modern web technologies, REST APIs, cloud-native platforms, enterprise data and integrations, LLMs, and AI agents in a fast-paced healthcare environment where

Qualifications

7+ years of professional software engineering experience developing enterprise-scale applications.
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
Hands-on experience building and deploying applications using Java, Node.js, C#, Python, or comparable backend technologies.
Experience developing modern front-end applications using React and TypeScript.
Experience designing and consuming REST APIs, microservices, and enterprise integrations.
Experience developing cloud-native applications on Microsoft Azure.
Experience with CI/CD, source control, automated testing, SDLC, and Agile practices.
Experience acting as a technical lead or primary owner for an enterprise application, service, or platform.
Experience designing scalable architectures, documenting trade-offs, and supporting production systems.
Demonstrated ability to turn ambiguous business needs into delivered technical solutions.

Responsibilities

Design, develop, and deploy AI-powered applications using Claude (Anthropic), Azure OpenAI, OpenAI, and Azure AI Services.
Partner directly with business stakeholders to define problems, validate workflows, rapidly prototype solutions, and convert successful concepts into production capabilities.
Build RAG solutions, prompt frameworks, AI workflows, and autonomous or agentic systems with human-in-the-loop controls.
Develop full stack applications using React, TypeScript, Python, C#, Java, Node.js, and .NET.
Design REST APIs, microservices, event-driven architectures, and enterprise integration patterns.
Integrate AI capabilities with ServiceNow, Salesforce, Snowflake, Databricks, Power BI, and other enterprise platforms.
Develop cloud-native solutions on Microsoft Azure using secure engineering and DevOps practices.
Build CI/CD pipelines, Infrastructure as Code, containerized workloads, and Kubernetes deployments.
Serve as technical owner for assigned applications or platforms, establishing architecture standards, engineering guardrails, SLOs, and production-readiness criteria.
Lead modernization, technical debt reduction, resiliency improvements, design reviews, incident resolution, and root-cause prevention.
Mentor engineers and influence architecture, security, data, product, and delivery decisions across teams.