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Generative Design Jobs in New York (NOW HIRING)

Elliot Partnership

Lead Generative AI Developer

New York, NY · On-site

$64.50 - $84.50/hr

* Lead Generative AI Developer for a leading Quant Firm * Hybrid working in New York * Highly ... Leading AI Infrastructure Development - Design and maintain shared GAI infrastructure and ...

Applied Labs

Design Engineer

New York, NY · On-site

$150K - $250K/yr

Design and build directly in code, translating high-fidelity design into production-quality UI with ... Use modern AI tools to accelerate output and iteration, including coding agents and generative ...

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Generative Design information

What is generative design?

A Generative Design job involves using AI-powered algorithms and computational design techniques to create, optimize, and refine design solutions. Professionals in this role work with software tools like Autodesk Generative Design, Grasshopper, or custom AI models to explore multiple design possibilities based on constraints and goals. These roles are common in industries like architecture, product design, aerospace, and engineering, where efficiency, performance, and innovation are key. Skills typically include computational design, programming, machine learning, and CAD proficiency.

What does a generative design professional do?

Professionals in Generative Design typically spend their days creating, testing, and refining digital models that optimize key design objectives, such as cost, performance, or material usage. They collaborate closely with engineers, designers, and manufacturing teams to translate conceptual ideas into practical design solutions using advanced software and algorithms. Daily tasks may also include analyzing simulation data, presenting findings to stakeholders, and iterating on designs based on project feedback. The work environment is fast-paced and highly collaborative, offering opportunities to work on cutting-edge projects and continually develop technical skills.

What skills and qualifications are needed for generative design?

To thrive in a Generative Design role, you need strong proficiency in computational design principles, 3D modeling, and a background in fields such as architecture, engineering, or industrial design. Familiarity with tools like Autodesk Fusion 360, Grasshopper for Rhino, and programming languages such as Python is typically required, alongside relevant certifications or project experience. Creative problem-solving, collaboration, and effective communication are essential soft skills that help bridge the gap between technical possibilities and design goals. These skills ensure innovative, efficient, and feasible solutions in projects that integrate technology and design for optimal results.

What are the most commonly searched types of Generative Design jobs in New York? The most popular types of Generative Design jobs in New York are:
What are popular job titles related to Generative Design jobs in New York? For Generative Design jobs in New York, the most frequently searched job titles are:
What job categories do people searching Generative Design jobs in New York look for? The top searched job categories for Generative Design jobs in New York are:
Generative Design jobs near you
Infographic showing various Generative Design job openings in New York as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Stamford, CT • Remote

Full-time

Re-posted 16 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply