Senior AI Engineering Lead

Overview

Position Title : Senior AI Engineering Lead

Industry Group : Corporate

Reporting Manager Title : VP Technology

Travel Required? No

Direct Reports? No

Responsibilities

• Frontier AI Research & Model Engineering

Pioneering Research : Lead fundamental and applied research in areas like Generative AI, Multi-modal Foundation Models, and advanced agentic systems.

Drive the research and implementation of advanced techniques for Model Alignment (e.g., RLHF, DPO), Quantization, and Distillation to significantly improve the performance, cost, and latency of large-scale models for real-time inference.

Design and implement innovative strategies for data curation, synthetic data generation, and active learning to continuously enhance model performance with minimal human labeling.

Establish methods for AI Guardrails, Adversarial Robustness, and Bias Mitigation to ensure all production systems adhere to the highest ethical and regulatory standards.

System Architecture : Define the technical roadmap and architect end-to-end solutions for deploying frontier AI, including Large Language Models (LLMs), RAG systems with Vector Databases, and Multi-Agent Frameworks (e.g., LangChain, CrewAI).

Architect and govern a next-generation MLOps platform focused on automated model training, continuous delivery (CI / CD), version control, and comprehensive model monitoring for distributed deployments.

Lead the evaluation of specialized AI infrastructure (e.g., NVIDIA GPUs, TPUs) and design the distributed computing strategy for efficiently training and serving multi-billion parameter models.

Serve as the final technical authority, conducting deep-dive architectural reviews and providing technical sign-off for all major AI initiatives across the company.

Strategic Direction : Partner with senior leadership to define the long-term AI strategy, research, translating complex research breakthroughs into measurable business value.

Lead and mentor a team of Senior AI Engineers, fostering a culture of rigorous scientific inquiry, engineering excellence, and rapid innovation.

Act as the technical bridge between Data & AI Engineering, Product Management, and business stakeholders, clearly communicating complex technical concepts to drive alignment.

Scope

Scope Factors (Revenue, Assets, Budget, Profit / Loss, Supervisory) – Collaborate with vendors, tech platform SMEs, external teams and internal resources to deliver AI solutions aligned with business strategy.

Qualifications – Education & Experience

Qualifications – Other Skills, Abilities & Knowledge

Qualifications – License(s) & Language(s)

N / A

Working Environment and Travel Requirements

Atlanta Metro area. Minimal travel required, not expected to be more than 20%

Benefits

ABM offers a comprehensive benefits package. For information about ABM's benefits, visit ABM Team Member Benefits | Staff & Management

Recruiting Flyer - Staff & Mgmt

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