Director of Applied Artificial Intelligence

MetropolisNew York, New York, United States

On-site Full-time

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Experience Level

Senior Level Manager

Qualifications

Master's degree in Computer Science, Data Science, or related field. Minimum of 8 years of experience in AI, machine learning, or data analytics. Proven track record of leading successful AI projects and teams. Strong understanding of AI technologies and their applications in real-world scenarios. Exceptional communication and interpersonal skills to collaborate effectively with stakeholders.

About the job

We are seeking a visionary Director of Applied AI to lead our innovative projects at Metropolis, headquartered in the vibrant city of New York. In this pivotal role, you will drive the development and implementation of cutting-edge AI solutions that enhance our operations and deliver transformative results across various sectors.

Your leadership will inspire a talented team of data scientists and engineers as you collaborate with cross-functional partners to translate complex data into actionable insights. You will be responsible for setting the strategic direction of our AI initiatives, ensuring alignment with our business objectives, and fostering a culture of continuous improvement and innovation.

About Metropolis

Metropolis is a forward-thinking company dedicated to leveraging the power of technology to create sustainable solutions for urban environments. With a focus on innovation and impact, we strive to enhance the quality of life for communities through advanced AI and data analytics.

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Adjunct Associate Faculty in Artificial Intelligence of Things (AIOT)

Columbia University

Part-time|On-site|New York

Columbia University is seeking skilled analytics professionals to join us as part-time Adjunct Associate Faculty for a graduate-level course on Artificial Intelligence of Things (AIOT) starting in Fall 2026. This role provides an exceptional opportunity to engage in graduate-level teaching while contributing subject matter expertise and supporting the instru…

Feb 27, 2026

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Adjunct Lecturer in Artificial Intelligence of Things (AIOT) - Fall '26

Columbia University

Part-time|On-site|New York

Join the School of Professional Studies at Columbia University as an Adjunct Lecturer for our graduate-level course in Artificial Intelligence of Things (AIOT), commencing in Fall 2026. We are seeking seasoned industry professionals passionate about sharing their expertise in this rapidly evolving field.This course offers an in-depth exploration of IoT technologies and their integration with AI and robotics. Engage students in critical discussions about IoT architecture, essential components, and communication protocols, while providing them with practical experience using IoT platforms, sensors, and data acquisition tools. The curriculum focuses on real-world AIoT applications that facilitate immediate decision-making in sectors such as manufacturing, public safety, smart cities, and healthcare, while also addressing the ethical implications of these innovative technologies.Blending theoretical knowledge with hands-on assignments, the course includes weekly lectures, readings on the fundamentals of IoT, and biweekly assessments to evaluate student comprehension. Participants will demonstrate their understanding through individual assignments and a collaborative term project, laying a strong foundation in IoT analytics and AI-driven robotic automation.

Feb 27, 2026

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Adjunct Associate Faculty in Blockchain, Cryptocurrencies & Analytics

Columbia University

Part-time|Hybrid|New York

Columbia University is actively seeking qualified professionals to join our team as part-time Adjunct Associate Faculty for the graduate-level course titled Introduction to Blockchain, Cryptocurrencies & Analytics. This course is designed to impart essential knowledge about blockchain technology and cryptocurrencies to our Master of Science students in Applied Analytics. Topics covered will include cryptographic protocols, hashing, digital signatures, transaction chaining, decentralization through proof of work mining, and smart contracts.The role of an Adjunct Associate Faculty member is pivotal for providing expertise and facilitating the learning process within the course. This position offers an excellent opportunity to gain valuable experience in graduate-level education at Columbia University.

Feb 27, 2026

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Adjunct Associate Faculty in Cybersecurity Analytics (Fall '26)

Columbia University

Part-time|On-site|New York

Columbia University is seeking experienced analytics professionals to join our faculty as part-time Adjunct Associate Faculty for a graduate-level course titled Analytics for Cybersecurity Management. This role offers a unique opportunity to contribute your subject matter expertise and support the instructional process for aspiring cybersecurity leaders. Engaging in this capacity will provide valuable exposure to the academic environment at Columbia University.This course serves as a comprehensive introduction to foundational cybersecurity principles, including network security, threat detection, and vulnerability management. It emphasizes the transformative impact of emerging technologies such as AI and machine learning on modern defense strategies. Participants will engage with key frameworks and advanced tools through real-world case studies, gaining insights into the role of analytics in effective threat intelligence, incident response, and regulatory compliance.Students will enhance their practical skills through hands-on exercises and interactive assignments, culminating in a project focused on automating vulnerability analysis. They will learn critical tasks such as log parsing, vulnerability classification, dashboard visualization, and AI-driven anomaly detection, while also addressing ethical, legal, and regulatory issues in cybersecurity. By the conclusion of the course, participants will be equipped to design proactive defense measures and adeptly navigate diverse threat landscapes, leveraging AI and analytics to bolster digital security against evolving cyber threats.Key ResponsibilitiesAttend all class sessions, assist with instruction, lead breakout sessions, and facilitate engaging discussions.Evaluate and grade student assignments and assessments as directed by the course Lecturer.Monitor student progress and address any concerns or inquiries in a timely manner.

Feb 27, 2026

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Adjunct Associate Faculty in Cloud Computing (On-Campus, Fall '26)

Columbia University

Part-time|On-site|New York

The School of Professional Studies at Columbia University is actively seeking seasoned industry professionals to join our academic team as part-time Adjunct Associate Faculty for a graduate-level course in Cloud Computing. This position provides a unique opportunity to contribute to the instructional process while gaining valuable experience in graduate-level teaching at Columbia University.The Cloud Computing course is designed to expose analytics students to practical applications and concepts of cloud computing, including infrastructure, administration, and various services and applications. Emphasis will be placed on developing hands-on skills for utilizing cloud services to create distributed and scalable analytics applications.Key ResponsibilitiesParticipate in all class sessions, support instructional delivery, lead breakout sessions, and facilitate engaging discussions.Assess and grade student submissions and evaluations as mandated by the course Lecturer.Address and manage student inquiries and concerns proactively.

Feb 27, 2026

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Adjunct Associate Faculty in Applied Deep Learning and AI

Columbia University

Part-time|On-site|New York

The Applied Analytics program at Columbia University is excited to invite seasoned data analytics professionals to join our team as a part-time Associate Faculty  for the graduate-level course Applied Deep Learning and AI. This advanced course immerses students in deep learning concepts, integrating essential components from Statistical Machine Learning. Participants will establish a robust foundation in supervised learning alongside various algorithms and methodologies. Key topics include Support Vector Machines, Neural Networks, Convolutional Neural Networks (CNN), word embeddings, attention mechanisms, transformers, encoder-decoder architectures, Generative Adversarial Networks (GAN), and Reinforcement Learning. Practical applications will provide students with insights on preparing, training, testing, and validating models.An Associate Faculty member plays a pivotal role in delivering subject matter expertise and enhancing the instructional experience for course participants. This position offers an exceptional opportunity to gain invaluable exposure to graduate-level teaching within the prestigious environment of Columbia University.Responsibilities:Attend and engage in all on-campus class sessions, assist with instruction, lead breakout discussions, and facilitate student engagement.Evaluate and assess student work as directed by the course Lecturer.Address student inquiries and concerns proactively.Conduct regular office hours for student support.

Feb 27, 2026

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Adjunct Associate Faculty in Applied Generative AI - Fall '26

Columbia University

Part-time|On-site|New York

Columbia University is on the lookout for analytics professionals to join as part-time Adjunct Associate Faculty for an advanced course on Applied Generative AI in Fall 2026. This role offers an incredible opportunity to gain firsthand experience in graduate-level teaching while contributing to the academic community.The Applied Generative AI course introduces students to the fascinating field of generative modeling, a vital aspect of machine learning. Participants will explore theoretical foundations, practical applications, and gain hands-on experience using high-level APIs and open-source foundational models. The curriculum covers essential methodologies for employing, fine-tuning, and programmatically working with cutting-edge Generative AI tools. Students will also delve into the intricacies of low-level model implementations, empowering them to train and understand models based on their data, from foundational principles. Various generative models, including Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Transformers, will be examined, with applications spanning text, image, audio, and video generation.Key ResponsibilitiesParticipate in all class sessions, assist with instructional duties, lead breakout sessions, and facilitate engaging discussions.Assess and grade student assignments and evaluations as directed by the course Lecturer.Address student inquiries and concerns in a timely and supportive manner.

Feb 27, 2026

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Adjunct Associate Faculty in Analytics for Business Operations Management

Columbia University

Part-time|On-site|New York

The School of Professional Studies at Columbia University is inviting applications for the role of Adjunct Associate Faculty for a graduate-level course titled Analytics for Business Operations Management, starting in the Fall of 2026. This part-time position offers a unique opportunity to engage in graduate-level teaching while contributing to the academic community at one of the world's leading institutions.This course aims to equip students with analytical techniques to enhance operational decision-making, increase efficiency, and tackle real-world challenges in operations management. Enrolled students will gain hands-on experience in key topics including process analysis, forecasting, queuing theory, simulation, optimization, inventory analysis, project management, supply chain management, and lean operations. By combining lectures with practical coding exercises, the course fosters a comprehensive understanding applicable across various industries.Key Responsibilities:Participate in all class sessions, assist with instruction, and lead breakout discussions.Deliver lectures and facilitate engaging classroom discussions.Assess and grade student assignments as directed by the course Lecturer.Address student inquiries and concerns promptly.

Feb 27, 2026

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Feb 27, 2026

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Adjunct Associate Faculty in Applied Machine Learning I (Fall '26)

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Part-time|On-site|New York

The School of Professional Studies at Columbia University is on the lookout for a dedicated data analytics professional to join us as a part-time Adjunct Associate Faculty in our graduate course, Applied Analytics Frameworks & Methods I.In today's data-driven world, vast amounts of information are generated at unprecedented speeds through business transactions, online interactions, social media, and various sensors. This influx provides unique opportunities for predicting outcomes and understanding phenomena across diverse fields, including medicine, business, and space exploration. Our course emphasizes supervised learning techniques that facilitate effective predictions and insights. Students will navigate the data-wrangling process, starting with data exploration and foundational methodologies, before diving into supervised learning techniques such as linear regression, decision trees, and support vector machines. Additionally, students will engage in a predictive analytics competition to apply and integrate their learning.As an Adjunct Associate Faculty member, you will play a pivotal role in supporting the instructional process and providing subject matter expertise. This position is an excellent opportunity to gain experience in graduate-level teaching at Columbia University.Key ResponsibilitiesAttend all scheduled class sessions, assist with instruction, lead breakout sessions, and facilitate discussions.Evaluate and grade student work and assessments as directed by the course Lecturer.Address and respond to student concerns and inquiries.

Feb 27, 2026

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Feb 27, 2026

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Feb 27, 2026

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Part-Time Adjunct Associate Faculty in Financial Securities Analysis & Portfolio Management

Columbia University

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The School of Professional Studies at Columbia University is actively seeking qualified candidates for the role of Adjunct Associate Faculty in the graduate-level course on Financial Securities Analysis and Portfolio Management. This part-time position offers a unique opportunity for individuals to gain valuable experience in graduate-level instruction at one of the nation's premier educational institutions.This course delves into the intricate world of financial securities, equipping students with the analytical tools necessary to evaluate financial assets and devise effective investment strategies. It serves as a comprehensive introduction to key investment topics that are crucial for those pursuing careers in investment analysis or portfolio management.Key Responsibilities:Participate in all class sessions, assist in instructional duties, lead breakout discussions, and facilitate engaging classroom interactions.Deliver lectures, oversee instructional activities, and actively participate in classroom conversations.Assess and grade student assignments and evaluations as directed by the course Lecturer.Address student inquiries and concerns, providing support and guidance throughout the course.

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Full-time|On-site|New York City

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Apr 21, 2026

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Associate Artificial Intelligence Forward Deployment Engineer

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Apr 15, 2026

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Adjunct Lecturer in Mathematics for Artificial Intelligence (On-Campus, Fall '26)

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Part-time|On-site|New York

The School of Professional Studies at Columbia University is seeking passionate and qualified professionals to join our team as part-time Adjunct Lecturer for a graduate-level course titled Mathematics for Artificial Intelligence. This course empowers students with critical mathematical skills necessary for comprehending and utilizing artificial intelligence (AI) algorithms. By the conclusion of the course, students will be equipped with a robust mathematical toolkit to adeptly navigate the challenges posed by contemporary AI algorithms.Key Responsibilities:Facilitate engaging class lectures, instructional activities, and dynamic classroom discussions. Attendance at all class sessions is mandatory.Provide support to students by monitoring and addressing their concerns and inquiries.Assess and grade student assignments and evaluations.Hold regular office hours for student consultations.

Feb 27, 2026

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Director of Applied Artificial Intelligence

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Full-time|On-site|New York, New York, United States

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Apr 6, 2026

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