Director of AI Engineering

The Director of AI Engineering is responsible for leading the research, design, development, and deployment of AI solutions as per the business strategy. This role bridges AI research with practical engineering, ensuring that AI models are not only innovative but also scalable, efficient, and production ready.

The director will lead and mentor a team of data scientists and AI engineers to build and operationalize AI-driven products and services. This position will collaborate with various stakeholders and cross-functional teams to integrate these custom-built AI solutions into enterprise systems.

Benefit Information:

ABM offers a comprehensive benefits package. For information about ABM's benefits, visit 2026 Recruiting Flyer - Staff & Mgmt

Pay: $143,500-$205,000

The pay listed is the salary range for this position. Any specific offer will vary based on the successful applicant's

education, experience, skills, abilities, geographic location, and alignment with market data.

You may be eligible to participate in a Company incentive or bonus program.

ABM (NYSE: ABM) is one of the world's largest providers of integrated facility, engineering, and infrastructure solutions. Every day, our over 100,000 team members deliver essential services that make spaces cleaner, safer, and efficient, enhancing the overall occupant experience.

ABM serves a wide range of market sectors including commercial real estate, aviation, education, mission critical, and manufacturing and distribution. With over $8 billion in annual revenue and a blue-chip client base, ABM delivers innovative technologies and sustainable solutions that enhance facilities and empower clients to achieve their goals. Committed to creating smarter, more connected spaces, ABM is investing in the future to meet evolving challenges and build a healthier, thriving world. ABM: Driving possibility, together.

ABM is an Equal Employment Opportunity (EEO) employer that does not discriminate on the basis of any trait or characteristic protected by applicable federal, state, or local law, including disability and protected veteran status. 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 888-328-8606. 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 www.abm.com/careers. ABM does not accept unsolicited resumes or submissions outside of this portal. Applicants should submit their application by clicking Apply Now.

For more information, visit www.abm.com

Required Skills & Expertise:

• Machine Learning & AI: Deep learning, NLP, generative AI, predictive analytics, reinforcement learning.
• MLOps & AI Engineering: Model deployment, cloud-based AI solutions, automation, monitoring, and retraining.
• Cloud & Data Platforms: Azure (Synapse, ADF, Databricks), AWS, Google Cloud, Snowflake.
• Programming & Frameworks: Python, TensorFlow, PyTorch, Hugging Face, Scikit-learn, SQL.
• Expertise and knowledge of OpenAI's GPT models, Gemini, LLaMA, Alteryx.
• · Big Data & Infrastructure: Spark, Kubernetes, Kafka, data lakes, and scalable AI architectures.
• AI Governance & Compliance: Ethical AI, bias mitigation, data privacy laws (GDPR, CCPA).

Preferred Qualifications:

• Master's degree in Computer science, Data Science, AI, Machine Learning, or a related field (PhD preferred).
• 12+ years of experience in AI, data science, or ML engineering.
• 5+ years in leadership roles, managing AI and data teams.
• Experience in deploying AI models at scale in enterprise settings.
• Effective communication skills to bridge the gap between AI research, engineering, and business stakeholders.

Key Responsibilities:

• Collaborate with stakeholders to ensure that technical strategies are in line with ABM's AI roadmap.
• Conduct comprehensive technical research on emerging AI/ML models and technologies to pinpoint viable solutions for development, MVP creation, and deployment.
• Spearhead MVP development and productization by rapidly prototyping and validating promising AI solutions.
• Align AI initiatives with business objectives by offering expert insights on feasibility, scalability, and integration.
• Oversee the development of machine learning models, including those for NLP, computer vision, and predictive analytics.
• Guarantee that AI models are robust, scalable, and optimized for real-world application.
• Lead research into state-of-the-art AI/ML methodologies for business functions or products, such as deep learning, reinforcement learning, and generative AI.
• Collaborate closely with DevOps to streamline the deployment of AI models into production environments. Establish MLops practice and guardrails
• Implement industry best practices for AI/ML pipelines, including model monitoring, versioning, and periodic retraining.
• Ensure seamless integration of AI models with cloud platforms like Azure (Synapse, ADF, Databricks).
• Establish and enforce ethical AI frameworks to promote fairness, mitigate bias, and maintain transparency in AI systems.
• Work with security teams to protect AI models and data from potential threats.
• Partner with key stakeholders to implement and measure the impact of AI solutions across various business functions.

Key Responsibilities:

• Collaborate with stakeholders to ensure that technical strategies are in line with ABM's AI roadmap.
• Conduct comprehensive technical research on emerging AI/ML models and technologies to pinpoint viable solutions for development, MVP creation, and deployment.
• Spearhead MVP development and productization by rapidly prototyping and validating promising AI solutions.
• Align AI initiatives with business objectives by offering expert insights on feasibility, scalability, and integration.
• Oversee the development of machine learning models, including those for NLP, computer vision, and predictive analytics.
• Guarantee that AI models are robust, scalable, and optimized for real-world application.
• Lead research into state-of-the-art AI/ML methodologies for business functions or products, such as deep learning, reinforcement learning, and generative AI.
• Collaborate closely with DevOps to streamline the deployment of AI models into production environments. Establish MLops practice and guardrails
• Implement industry best practices for AI/ML pipelines, including model monitoring, versioning, and periodic retraining.
• Ensure seamless integration of AI models with cloud platforms like Azure (Synapse, ADF, Databricks).
• Establish and enforce ethical AI frameworks to promote fairness, mitigate bias, and maintain transparency in AI systems.
• Work with security teams to protect AI models and data from potential threats.
• Partner with key stakeholders to implement and measure the impact of AI solutions across various business functions.