Senior AI Engineering Lead

JOB DESCRIPTION

Position Title: Senior AI Engineering Lead

Industry Group: Corporate

Reporting Manager Title: VP Technology

Travel Required? No

Direct Reports? No

Position Summary Details

We are seeking a Senior AI Engineering Lead to pioneer our next generation of intelligent systems. This is a unique, in office role for a Ph.D.-level expert to merge cutting-edge research with the architectural vision and engineering leadership required to deploy complex, frontier AI models at a massive scale. The ideal candidate will set the strategic direction for AI/ML/GenAI across the enterprise while personally driving the technical design and optimization of our most advanced and challenging models.

Essential Functions

I. 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.

• Model Optimization: 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.

• Data-Centric AI: Design and implement innovative strategies for data curation, synthetic data generation, and active learning to continuously enhance model performance with minimal human labeling.

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

II. AI Architecture & Deployment Leadership

• 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).

• MLOps at Scale: 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.

• Compute Optimization: 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.

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

III. Strategic Management & Mentorship

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

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

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

Scope Factors (i.e. Revenue Scope, Assets Scope, Budget Scope, Profit/Loss Scope, Supervisory Scope)

• Collaborate with vendors, tech platform SME, external teams and direct/guiding internal resources for delivering AI solutions to meet business strategy.

Qualifications – Education & Experience

• Education & Experience:

o Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field with

2+ years of post-doctoral professional experience and 6+ years of total experience

o OR Master's degree in a relevant field with 8+ years of progressively responsible professional experience.

• Foundation Model Expertise: Deep theoretical and hands-on expertise in the architecture, training, fine-tuning, and deployment of Large Language Models (LLMs) and/or Multi-modal Models.

• Programming & Systems: Expert-level proficiency in Python, deep learning frameworks (PyTorch, JAX), and high-performance, distributed computing systems (Kubernetes, Ray, MPI).

Qualifications – Other Skills, Abilities & Knowledge

• Experience with Neuro-Symbolic AI, Reinforcement Learning (RL), or Causal Inference applied to real-world systems.

• A proven track record of leading the development of a production-grade, multi-agent AI system or autonomous decision-making engine.

• Deep practical knowledge of AI hardware architecture (GPU/TPU) and its impact on large-scale model performance.

• Experience in an industry with a strong focus on compliance and Responsible AI governance frameworks.

• A history of work in model efficiency, distributed training, or novel neural network architectures.

• Foundational knowledge of cyber security and data governance

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%

Benefit Information:

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

Recruiting Flyer - Staff & Mgmt

About Us

ABM (NYSE: ABM) is one of the world's largest providers of facility services and solutions. A driving force for a cleaner, healthier, and more sustainable world, ABM provides essential services and forward-looking performance solutions that improve the spaces and places that matter most. From curbside to rooftop, ABM's comprehensive services include janitorial, engineering, parking, electrical and lighting, energy and electric vehicle charging infrastructure, HVAC and mechanical, landscape and turf, and mission critical solutions. ABM serves a wide range of industries – from commercial office buildings to universities, airports, hospitals, data centers, manufacturing plants and distribution centers, entertainment venues and more. Founded in 1909, ABM serves over 20,000 clients, with annualized revenue approaching $8 billion and more than 100,000 team members in 350+ offices throughout the United States, United Kingdom, Republic of Ireland, and other international locations. For more information, visit

ABM is proud to be an Equal Opportunity Employer qualified applicants without regard race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran or any other protected factor under federal, state, or local law. ABM is committed to working with and providing reasonable accommodation to individuals with disabilities. If you have a disability and need assistance in completing the employment application, please call We will provide you with assistance and make a determination on your request for reasonable accommodation on a case-by-case basis.

ABM participates in the U.S. Department of Homeland Security E-Verify program. E-Verify is an internet-based system used to electronically confirm employment eligibility.

ABM is a military-friendly company proudly employing thousands of men and women who have served in the U.S. military. With ABM, you'll have access to a world-class training program and ample opportunities to use the skills you developed while serving our country. Whether you're looking for a frontline or professional position, you can find post-military career opportunities across ABM.

ABM directs all applicants to apply at ABM does not accept unsolicited resumes.