AI/ML Engineer
Remote · United States
Job Summary
Design, develop, and deploy AI/ML solutions to modernize core pharmacy platforms, with a focus on scalability, reliability, performance, and security. Leverage Generative AI, LLMs, and agentic AI frameworks to automate and enhance pharmacy workflows and decision-making processes. Collaborate with business and technical stakeholders to translate pharmacy domain requirements into robust AI/ML-driven technical solutions. Contribute to architecture and technical design of AI/ML pipelines, including model selection, data integration, and deployment patterns. Establish and maintain AI/ML engineering standards, best practices, and quality assurance processes. Conduct code reviews, provide constructive feedback, and mentor engineers on modern AI/ML engineering practices. Partner with cross-functional teams including data scientists, product managers, platform engineers, and pharmacy domain experts. Translate legacy system modernization needs into scalable AI applications that enhance products, workflows, and operational efficiency. Monitor and optimize AI/ML model performance, resource utilization, and platform reliability. Collaborate with DevOps and infrastructure teams to ensure secure, scalable deployment and operations of AI/ML solutions. Stay current with advancements in AI/ML frameworks, Generative AI, LLMs, and pharmacy technology modernization.
Required Qualifications
- 5+ years of experience as a software engineer or AI/ML engineer delivering cloud-based solutions
- 5+ years of experience with cloud platforms such as Azure, AWS, or Google Cloud
- 5+ years of programming experience in Python, Golang, JavaScript, or Java
- 3+ years of hands-on experience with AI/ML frameworks, model development, and deployment
- 3+ years of hands-on experience with Generative AI, LLMs, and agentic AI solutions
- Experience building distributed systems and cloud-native AI/ML applications
- 1+ years of experience with security and compliance in cloud environments
- Strong problem-solving and analytical skills with the ability to propose innovative AI/ML solutions
- Excellent communication and collaboration skills across technical and non-technical teams
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