Lead AI Engineer, Business Operations (Hybrid or Remote)

AFL Telecommunications, LLC; Dallas (TX); Remote; USD 130,000 - 160,000; Full time

Benefits offered by this job

Flexible time off policy

401K Company match

Professional development and training

Excellent medical, dental, vision, and life insurance

Opportunities for career advancement

Job summary

AFL Telecommunications, LLC is looking for a Lead AI Engineer to join its Business Operations team. This role may be hybrid or remote from anywhere within the United States. The successful candidate will establish architectural standards and own solutions throughout their life cycle.

Ideal candidates should have 7+ years of software engineering experience, recent hands-on AI development, and strong communication skills to liaise with both technical and non-technical stakeholders.

Qualifications

• 7+ years of software engineering experience with a strong full-stack foundation.
• Recent hands-on experience building AI or LLM-backed systems and shipping them to production.
• Experience architecting solutions from scratch.

Responsibilities

• Establish architectural patterns, evaluation practices, and deployment standards.
• Translate proposed business solutions into technical plans.
• Own solutions end-to-end: technical planning, architecture, build, deploy.

Skills

Software engineering experience

AI or LLM-backed systems

Proficiency in Python

Cloud platforms

Strong communication skills

Education

Bachelor's degree in Computer Science or related field

Job description

Lead AI Engineer, Business Operations (Hybrid or Remote)

Job Category: IT - Software Engr

Requisition Number: LEADA008840

Employment Type: Full-Time

We are seeking a Lead AI Engineer to join our Business Operations team. This position may be able to work remotely from anywhere within the United States.

The Lead AI Engineer is the first engineering hire on AFL's AI Enablement team, responsible for designing, building, and deploying agentic AI systems that automate the operational backbone of the business through workflow orchestration, model adaptation, and analytics. Working directly with the AI Enablement Manager, the Lead AI Engineer will help lay the technical foundation the rest of the team will build on — including model selection and management, deployment posture, orchestration patterns, evaluation and audit. As the team grows, an AI Product Manager and AI Operations Specialists will join to take on intake, sequencing, stakeholder coordination, and product ownership of deployed solutions, allowing engineers to stay focused on build work.

What We Offer

• 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!

Responsibilities

• Establish the architectural patterns, evaluation practices, and deployment standards for the team.
• Make 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.
• Translate proposed business solutions into technical plans — defines product life cycles, prioritizes the backlog, and breaks initiatives into buildable work.
• Own solutions end‑to‑end: technical planning, architecture, build, deploy, and the monitoring that keeps them honest in production.
• Build the monitoring, evaluation, and regression detection systems that keep production agents reliable — including logging, performance benchmarking, and feedback loops that surfaced drift early.
• Partner with data governance to ensure solutions meet compliance, data quality, and operational standards.
• Collaborate with stakeholders and communicate complex technical concepts to non‑technical audiences.

Qualifications

• 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.
• Innovative and tech‑savvy, with deep curiosity about emerging AI capabilities and how to apply them.
• Analytical and detail‑oriented, with a strong engineering mindset.
• Collaborative and communicative, able to translate complex technical concepts for non‑technical stakeholders.
• Self‑directed and accountable, able to set technical direction and drive execution independently.

Working Conditions

• Environment: Remote work environment (US‑based).
• Travel: Occasional travel (domestic) as needed.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities: This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.