- The employee serves as a Lead AI Engineer responsible for architecting, developing, deploying, and supporting enterprise-scale Agentic AI solutions. - In this role, he designs and implements scalable AI systems utilizing Large Language Models (LLMs), retrieval-augmented generation (RAG) pipelines, model orchestration frameworks, Agentic frameworks, and secure API solutions that automate Guardian's business processes and enhance decision-making. - He ensures AI solutions comply with enterprise security, governance, and compliance requirements. - The position requires advanced knowledge of machine learning engineering, distributed systems, cloud infrastructure, and various AI platforms. - He collaborates cross-functionally with data scientists, software engineers, infrastructure teams, product teams, and business stakeholders to implement AI solutions that provide business value for Guardian. - The role also includes evaluating emerging technologies, contributing to enterprise AI roadmap, and mentoring junior engineers.
His work directly impacts operational efficiency, customer experience, and enterprise automation capabilities. - The role also includes evaluating emerging technologies and building core AI capabilities pursuant to digital enterprise roadmap - In this role, employee also has to mentor junior engineers. - His work directly impacts operational efficiency, customer experience, and enterprise automation capabilities.
Guardian Life is not currently or in the foreseeable future sponsoring employment-based visas (e.g., such as an H-1B). In order to be a successful applicant, you must be legally authorized to work in the United States, without the need for employer sponsorship/support now or at any time in the future.
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This posting was published by Guardianlife on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.