Lead AI Engineer, Business Operations

🕒 June 6

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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AFL

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

📡 Telecommunications

🔧 Hardware

⚡ Energy

Telecommunications • Hardware • Energy

AFL is a global manufacturer and service provider of fiber-optic infrastructure and connectivity solutions, producing fiber optic cables, connectors, test and inspection equipment, fusion splicers, and related accessories. The company also provides design, engineering, construction, field services, and network services for service providers, data centers, utilities (including OPGW/energy systems), and industrial customers.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• 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!