AI Engineer

🕒 Junho 19

🔔 Pennsylvania – Remoto

🔔 Pennsylvania – Remote

💵 $135.000 - $165.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

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GBLI | Global Indemnity

SiteLinkedInTodas as Vagas

201 - 500 funcionários

💼 Consultoria

⚖️ Jurídico

🛡️ Seguros

Consulting • Legal • Insurance

GBLI | Global Indemnity é uma holding de capital aberto que possui um portfólio diversificado de negócios relacionados a seguros de propriedade e acidentes. Ela oferece soluções de seguro e resseguro especializados por meio de subsidiárias e agências gerais de gestão (incluindo Katalyx e Belmont Holdings), com foco em nichos e mercados pouco atendidos, empregando subscrição disciplinada, distribuição habilitada por tecnologia e cobertura admitida e não admitida. O grupo enfatiza a distribuição multicanal, relações com agentes, ofertas de produtos automatizados e rápido atendimento de sinistros, e possui classificações “A” da AM Best para partes de suas operações de seguro.

Descrição

• Design and build AI-powered applications and integrations across a variety of use cases • Lead implementation of small- to medium-scale AI solutions, with contribution to larger enterprise initiatives • Translate business requirements into scalable, supportable technical architectures • Design and implement data pipelines for AI/ML use cases (ingestion, transformation, and delivery) • Prepare and manage datasets for AI consumption, including cleansing, normalization, and feature engineering • Ensure data quality, lineage, and readiness for model training and inference • Apply best practices for handling sensitive data, including PII and regulated data • Evaluate and apply appropriate AI/ML (regression models, NLP, LLMs, Multi-modal models, embedding models, etc.) approaches based on use case. • Design and implement retrieval systems, including Retrieval-Augmented Generation (RAG) • Apply agentic AI patterns and architectures to enable multi-step reasoning and orchestration • Support training, fine-tuning, and optimization of models where applicable • Implement techniques such as model distillation, quantization, and performance tuning • Balance cost, performance, and accuracy in model selection and deployment • Build and integrate AI capabilities into enterprise systems, APIs, and workflows • Design scalable, secure architectures for AI services and applications • Ensure solutions are production-ready, maintainable, and aligned to enterprise standards • Engage with business stakeholders to gather and refine requirements • Clearly articulate technical concepts, trade-offs, and solution approaches • Validate requirements and translate them into actionable technical plans • Act as a bridge between business and engineering teams

🎯 Requisitos

• Bachelor’s degree in a related field and 5+ years experience in software engineering, data engineering, or AI/ML engineering - or equivalent combination of education and experience. • Experience with multi-paradigm databases (vector, graph, DBMS, document, etc.) • Hands-on experience developing AI/ML solutions in production environments • Proficiency in Python and common AI/ML frameworks and tools • Excellent verbal and written communication skills, with the ability to convey technical concepts clearly and effectively • Strong critical thinking and problem-solving skills • Ability to collaborate effectively with business stakeholders, technical teams, and cross-functional partners • Self-motivated with the ability to work independently and manage competing priorities • Strong experience building data pipelines and working with structured and unstructured data • Experience with cloud platforms (e.g., Azure, AWS, or GCP), including AI and data services, Azure is preferred. • Solid understanding of data security principles and handling of sensitive data • Understanding of responsible AI, data governance, and IT governance in a regulated environment • Demonstrated ability to work independently, manage projects, and make impactful technology recommendations.

🏖️ Benefícios

• Generous paid time off (PTO) • Professional development opportunities (including a mentorship program) • Educational assistance program, which covers up to $5,250 in educational costs per year • Comprehensive health insurance plan (with vision and dental) • Paid Parental Leave • Life insurance • 401(k) retirement plan with up to 6% company match and immediate vesting • Healthcare and dependent care flexible spending accounts • Short-term and long-term disability • Company-sponsored social events • Various committees to get involved in, which include our Diversity, Awareness and Inclusion Committee, and Charitable Giving Committee