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Роль сочетает заметную ответственность за корпоративную AI-платформу и разработку GenAI-решений для продакшена, а обязанности и льготы описаны подробно; обязательные офисные дни и возможная работа вне обычных часов ограничивают гибкость.
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Оценка от Hirify AI
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Hirify AI/Оригинал
TL;DR
Associate Principal AI Engineer (Gen AI/AWS): Building production-ready generative and agentic AI solutions and evolving an enterprise AI platform with an accent on Python, AWS AI services, and full model lifecycle delivery. Focus on developing AgentCore solutions, improving AI governance and platform operations, and leading AI transformation initiatives across a regulated financial services organization.
Location: Hybrid, requiring three days in the office per week at a hub location in Cedar Rapids, Denver, or Philadelphia, USA. Moderate travel to other offices and occasional work outside normal business hours may be required. Applicants must be authorized to work for any employer in the U.S.
Salary: $207,200–$259,000 annually, plus potential eligibility for an annual bonus.
Company
hirify.global is a financial services company providing insurance, retirement, investment, employee benefits, and related financial solutions as part of Aegon.
What you will do
Enhance Aegon’s AWS Launchpad platform and related operational services.
Support onboarding of internal development teams to the Launchpad platform.
Build production-ready generative AI and agentic AI solutions using Python and AWS AgentCore.
Translate complex business problems into defined project requirements and deliver AI transformation initiatives using software engineering best practices and Aegon’s Software Delivery Lifecycle.
Select AWS AI components and services, contribute to AI governance and operational processes, and support broader AI adoption.
Lead AI development teams under supervision and collaborate with software engineering teams and internal and external stakeholders.
Requirements
Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field.
10+ years of related experience, including at least 3 years of demonstrable experience in end-to-end AI solution design.
Professional certifications in AI and/or cloud technologies.
Strong proficiency in Python for production-ready delivery.
Deep understanding of the generative AI landscape and agentic frameworks, including Strands SDK, LangChain, A2A, and MCP.
Experience across the full AI model lifecycle: planning, training, deployment, and maintenance.
Good knowledge of AWS AI infrastructure and AI services.
Proficiency with containerization and orchestration tools such as Kubernetes and Docker.
Experience working with diverse stakeholders to deliver AI solutions.
Nice to have
Experience in the insurance industry or another regulated sector.
Master’s degree in computer science, Artificial Intelligence, Data Science, or a related field.
Experience building AI solutions using AWS AgentCore.
Culture & Benefits
Collaborative environment focused on innovation, continuous learning, operational excellence, and inclusion.