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Strong Tier-1 brand plus in-demand ML/AI and enterprise integration skills increase competition.
ML/MLOps skills transferable, but healthcare enterprise and sales integration increase domain specificity.
Explicit 8+ years plus 2+ years production ML experience and MLOps/enterprise integration requirements.
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Design and deliver AI-enabled solutions to modernize Sales and Distribution workflows, including API integrations and automation pipelines within employer, broker, and enrollment ecosystems.
Develop and deploy machine learning models, generative AI, and RAG-based systems aimed at improving sales intelligence, operational efficiency, and decision-making.
Collaborate with product, engineering, and operations teams to translate business requirements into scalable technical solutions while ensuring system performance, reliability, and compliance with Responsible AI and security standards.
Bachelor's or Master's degree in computer science, engineering, or related field.
8+ years of software engineering experience, including 2+ years of hands-on experience building and deploying AI/ML systems in production.
Experience with scalable enterprise applications involving API integrations, microservices, workflow automation, and machine learning models including generative AI and RAG pipelines.
Solid understanding of sales and distribution systems or enterprise platform integrations such as CRM, enrollment, or broker ecosystems.
Experienced in designing and deploying AI/ML solutions that integrate with complex enterprise sales and distribution platforms.
Capable of working collaboratively across cross-functional and offshore teams, driving high-quality delivery within project scope.
Familiar with AI governance, Responsible AI principles, and security/compliance requirements in an enterprise environment.