Lead AI Engineer, Business Operations

🕒 5 dias atrás

🤠 Texas – Remoto

🤠 Texas – Remote

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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AFL

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

📡 Telecomunicações

🔧 Hardware

⚡ Energia

Telecommunications • Hardware • Energy

A AFL é uma fabricante global e prestadora de serviços de soluções de infraestrutura e conectividade de fibra óptica, produzindo cabos de fibra óptica, conectores, equipamentos de teste e inspeção, emendadoras por fusão e acessórios relacionados. A empresa também oferece design, engenharia, construção, serviços de campo e serviços de rede para provedores de serviços, data centers, concessionárias de serviços públicos (incluindo sistemas de energia/OPGW) e clientes industriais.

Descrição

• Establishes the architectural patterns, evaluation practices, and deployment standards for the team • Makes framework and model recommendations that set the foundation for how the team builds — evaluates orchestration frameworks, selects deployment patterns, trains and fine-tunes models, and determines where managed platforms end and custom build begins • Translates proposed business solutions into technical plans — defines product life cycles, prioritizes the backlog, and breaks initiatives into buildable work • Owns solutions end-to-end: technical planning, architecture, build, deploy, and the monitoring that keeps them honest in production • Builds the monitoring, evaluation, and regression detection systems that keep production agents reliable — including logging, performance benchmarking, and feedback loops that surface drift early • Partners with data governance to ensure solutions meet compliance, data quality, and operational standards

🎯 Requisitos

• Bachelor's degree in Computer Science or related field, or equivalent experience • 7+ years of software engineering experience with a strong full-stack foundation — backend services, API design, system integration, and data infrastructure • Recent hands-on experience building AI or LLM-backed systems and shipping them to production • Experience architecting solutions from scratch and owning them through deployment, observability, testing, and ongoing reliability • Experience with AI development practices — model selection, fine-tuning, prompt engineering, evaluation frameworks, and understanding when each approach is the right fit • Proficiency in Python; experience with cloud platforms • Experience mentoring engineers and setting technical direction across multiple initiatives • Strong communication skills with both technical and non-technical stakeholders.

🏖️ Benefícios

• Flexible time off policy • 401K Company match (up to 4% — dollar for dollar) • Professional development, training, and tuition reimbursement programs • Excellent medical, dental, vision, and life insurance policy options • Opportunities for career advancement with an industry leading company!