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Entrylevel Forward Deployed Engineer Jobs in Rochester, NY

Pwc

AI Engineer

Rochester, NY · On-site

$55K - $187K/yr

... build and deploy software and platform systems that create Artificial Intelligence and Machine ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

U.S. Navy

Engineering Duty Officer

Rochester, NY · On-site

As an Engineering Duty Officer, your job is to keep the fleet moving forward. The Navy will rely on your sharp math and science skills to design, develop and deploy the world's fiercest ships and ...

U.S. Navy

Engineering Duty Officer

Geneseo, NY · On-site

As an Engineering Duty Officer, your job is to keep the fleet moving forward. The Navy will rely on your sharp math and science skills to design, develop and deploy the world's fiercest ships and ...

U.S. Navy

Engineering Duty Officer

Geneseo, NY

As an Engineering Duty Officer, your job is to keep the fleet moving forward. The Navy will rely on your sharp math and science skills to design, develop and deploy the world's fiercest ships and ...

U.S. Navy

Engineering Duty Officer

Rochester, NY

As an Engineering Duty Officer, your job is to keep the fleet moving forward. The Navy will rely on your sharp math and science skills to design, develop and deploy the world's fiercest ships and ...

Pwc

AI & GenAI Data Scientist - Manager

Rochester, NY · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entrylevel Forward Deployed Engineer information

See Rochester, NY salary details

$12

$55

$79

How much do entrylevel forward deployed engineer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for entrylevel forward deployed engineer in Rochester, NY is $55.25, according to ZipRecruiter salary data. Most workers in this role earn between $39.62 and $73.51 per hour, depending on experience, location, and employer.

What is the difference between Entrylevel Forward Deployed Engineer vs Entry-Level Software Engineer?

AspectEntrylevel Forward Deployed EngineerEntry-Level Software Engineer
Primary RoleDeploying and supporting hardware/software in client environments, often involving customer interactionDeveloping, testing, and maintaining software applications
Work EnvironmentOn-site client locations and field settingsOffice or remote software development teams
Required SkillsHardware knowledge, troubleshooting, customer communicationProgramming, software design, problem-solving
Common CertificationsNone specific, technical certifications helpfulNone required, coding certifications optional

While both roles are entry-level and involve technical skills, the Entrylevel Forward Deployed Engineer focuses on deploying and supporting hardware and software directly at client sites, requiring customer interaction and troubleshooting. In contrast, the Entry-Level Software Engineer primarily develops software in a team environment. Understanding these differences helps candidates choose the right career path based on their interests in hardware deployment versus software development.

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For Entrylevel Forward Deployed Engineer jobs in Rochester, NY, the most frequently searched job titles are:

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Entrylevel Forward Deployed Engineer jobs near you

Generative AI Automation Engineer - Remote Job

Rochester, NY • On-site

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Other

Re-posted 23 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