What are the responsibilities and job description for the Director, AI Engineering position at ABM US?
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.
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.
Benefit Information:
ABM offers a comprehensive benefits package. For information about ABM’s benefits, visit:
ABM 2025 Employee Benefits | Staff & Management
