Senior AI Engineer

Pivotal Solutions; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Pivotal Solutions in New York, NY is seeking a Senior AI Engineer to lead design and implementation of cutting-edge generative AI models and systems. You will apply ML, DL, and reinforcement learning to real-world media and product challenges, providing technical leadership across teams.

The role emphasizes mentoring junior engineers, delivering scalable solutions, and communicating complex concepts to stakeholders.

Qualifications

• 5+ years of experience in machine learning or related fields.
• At least 2 years of experience in generative AI or related areas.
• Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Expertise in generative models, neural networks, and reinforcement learning.
• Advanced degree (Ph.D. or equivalent) in Computer Science, Machine Learning, or a related field, or a proven track record in the field.
• Demonstrated ability to lead and mentor a team of AI engineers.
• Strong communication skills to convey complex concepts to both technical and non-technical stakeholders.
• An analytical mindset to solve complex problems and provide innovative solutions.
• Adaptability to evolving technologies and methodologies in the fast-paced field of AI.

Responsibilities

• Algorithm Development: Design and implement state-of-the-art generative AI algorithms, such as GANs, VAEs, Transformers, and other deep generative models, to enhance media buying decisions.
• Algorithm Development: Develop large-scale recommender systems based on GNN embeddings and similar methodologies to optimize media buying decisions.
• Optimize and refine existing algorithms to improve performance, scalability, and efficiency.
• Lead the training and evaluation of generative models on extensive datasets.
• Develop methods for assessing model performance and making improvements based on feedback.
• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate generative AI into various applications.
• Mentor and guide junior team members.

Skills

Machine Learning

Deep Learning

Generative AI

Leadership

Communication

Education

PhD or equivalent

Tools

TensorFlow

PyTorch

Job description

New York, United States | Posted on 09/08/2026

As a Senior AI Engineer, you will be a key player in the design, development, and implementation of cutting-edge generative AI models and systems. Drawing on your expertise in machine learning, deep learning, and generative algorithms, you will help advance our organization's AI capabilities. This role requires a strong understanding of both theoretical concepts and practical applications, as well as the ability to provide technical leadership in developing such solutions.

Responsibilities

• Algorithm Development: Design and implement state-of-the-art generative AI algorithms, such as GANs, VAEs, Transformers, and other deep generative models, to enhance media buying decisions.
• Algorithm Development: Develop large-scale recommender systems based on GNN embeddings and similar methodologies to optimize media buying decisions.
• Optimize and refine existing algorithms to improve performance, scalability, and efficiency.
• Lead the training and evaluation of generative models on extensive datasets.
• Develop methods for assessing model performance and making improvements based on feedback.
• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate generative AI into various applications.
• Mentor and guide junior team members.

Qualifications

• A minimum of 5 years of experience in machine learning or related fields.
• At least 2 years of experience in generative AI or related areas.
• Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Expertise in generative models, neural networks, and reinforcement learning.
• Advanced degree (Ph.D. or equivalent) in Computer Science, Machine Learning, or a related field, or a proven track record in the field.
• Demonstrated ability to lead and mentor a team of AI engineers.
• Strong communication skills to convey complex concepts to both technical and non-technical stakeholders.
• An analytical mindset to solve complex problems and provide innovative solutions.
• Adaptability to evolving technologies and methodologies in the fast-paced field of AI.