ZipRecruiter

Log In

1

Automation Engineer Project Manager Jobs in Rye, NY

SmithRx

Senior Staff Automation Engineer

New York, NY · On-site

$113K - $149K/yr

Provide clear test results to Development and Product teams to help manage project expectations ... programming language * Experience with API automation frameworks such as Pytest or REST Assured

GFT.

Senior Traffic Engineer / Project Manager

Woodbury, NY · On-site

$125K - $165K/yr

As a Senior Traffic Engineer / Project Manager, you will lead traffic engineering and design efforts on a variety of transportation projects throughout New York City and Long Island. You will play a ...

next page

Showing results 1-20

All JobsAutomation Engineer Project JobsAutomation Engineer Project Manager JobsAutomation Engineer Project Manager Jobs in Rye, NY

Automation Engineer Project Manager information

See Rye, NY salary details

$39.2K

$113.5K

$172.7K

How much do automation engineer project manager jobs pay per year?

As of Jul 15, 2026, the average yearly pay for automation engineer project manager in Rye, NY is $113,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,700.00 and $130,900.00 per year, depending on experience, location, and employer.

How does an Automation Engineer Project Manager typically collaborate with cross-functional teams during a project lifecycle?

An Automation Engineer Project Manager works closely with cross-functional teams including software developers, mechanical and electrical engineers, quality assurance, and operations staff. They facilitate clear communication among these groups, ensuring that automation solutions meet technical requirements, safety standards, and project deadlines. Regular meetings and status updates are essential to align goals, address challenges, and integrate feedback. This collaborative approach helps streamline project execution and ensures successful system deployment.

What are the key skills and qualifications needed to thrive as an Automation Engineer Project Manager, and why are they important?

To thrive as an Automation Engineer Project Manager, you need a solid background in engineering principles, process automation, and project management, often supported by a relevant degree and certifications such as PMP or Six Sigma. Familiarity with automation tools (like PLCs, SCADA, and DCS), project management software, and industry-standard protocols is essential. Strong leadership, problem-solving, and communication skills help manage multidisciplinary teams and client expectations effectively. These combined skills ensure projects are delivered efficiently, safely, and to specification in complex industrial environments.

What does an Automation Engineer Project Manager do?

An Automation Engineer Project Manager oversees the design, development, and implementation of automated systems within projects. They coordinate teams of engineers, manage project timelines and budgets, and ensure that automation solutions meet client and organizational requirements. This role blends technical expertise in automation with strong project management skills, making it essential for streamlining processes and improving efficiency in various industries. Effective communication, problem-solving, and leadership are key qualities for success in this position.

What is the difference between Automation Engineer Project Manager vs Automation Engineer?

AspectAutomation Engineer Project ManagerAutomation Engineer
CredentialsBachelor's in Engineering, PMP or similar project management certificationBachelor's or Master's in Engineering, relevant technical certifications
Work EnvironmentProject teams, client sites, engineering officesDesign labs, manufacturing plants, automation system sites
Employer & IndustryManufacturing, automotive, aerospace, industrial automationManufacturing, robotics, process industries, automation firms
Search & Comparison IntentUnderstanding project management vs technical roles in automationTechnical automation design and implementation skills

The main difference between an Automation Engineer Project Manager and an Automation Engineer lies in their focus. The project manager oversees automation projects, coordinating teams and managing timelines, while the automation engineer focuses on designing and implementing automation systems. Both roles require technical knowledge, but the project manager emphasizes leadership and project execution, whereas the engineer emphasizes technical expertise and system development.

What job categories do people searching Automation Engineer Project Manager jobs in Rye, NY look for? The top searched job categories for Automation Engineer Project Manager jobs in Rye, NY are:
What cities near Rye, NY are hiring for Automation Engineer Project Manager jobs? Cities near Rye, NY with the most Automation Engineer Project Manager job openings:
Automation Engineer Project Manager jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Bronx, NY • On-site

Other

Re-posted 24 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