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Freelance Generative Ai Engineer Jobs in Rochester, NY

Pwc

AI Engineer

Rochester, NY

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

Socket.dev

AI Solutions Engineer

Rochester, NY · On-site

$120 - $150/hr

You will partner with clients to identify high-impact Generative AI use cases, evaluate data ... Implement prompt engineering strategies, few-shot learning, and fine-tuning approaches for domain ...

Deloitte

AI Security Engineer Manager

Rochester, NY · On-site

As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high ...

Global Payments, Inc.

Business Analyst

Rochester, NY · On-site

Partner with AI Engineers to assess and design responsible AI and generative-AI use cases, including workflow fit, knowledge requirements, evaluation criteria, human review, and operational adoption.

Global Payments

Business Analyst

Rochester, NY · On-site

Partner with AI Engineers to assess and design responsible AI and generative-AI use cases, including workflow fit, knowledge requirements, evaluation criteria, human review, and operational adoption.

New

MegazoneCloud US

Sr. AI FDE

Rochester, NY · On-site

$54.50 - $70.25/hr

They are seeking a Senior AI Forward Deployed Engineer to work directly with clients, driving the adoption of AI platforms and ensuring successful integration and production of generative AI ...

Ralliant

Data Scientist - Analytics as a Service

Fairport, NY · On-site

$104.30 - $193.70/hr

Customer operating conditions Develop robust feature engineering pipelines to improve model accuracy and scalability. AI & Machine Learning * Machine learning models * Statistical models * Generative ...

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Freelance Generative Ai Engineer information

See Rochester, NY salary details

$14

$47

$130

How much do freelance generative ai engineer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for freelance generative ai engineer in Rochester, NY is $47.07, according to ZipRecruiter salary data. Most workers in this role earn between $23.94 and $60.96 per hour, depending on experience, location, and employer.

What is a freelance generative AI engineer?

A Freelance Generative AI Engineer is a professional who works independently to design, build, and deploy artificial intelligence models that can generate new data, such as text, images, or music. These engineers typically specialize in technologies like generative adversarial networks (GANs), large language models (LLMs), and other machine learning frameworks. They collaborate with clients or companies on a project-by-project basis, offering expertise in AI model development, fine-tuning, and integration. Being freelance, they have the flexibility to work with multiple clients across various industries, including tech, media, and entertainment.

What are the key skills and qualifications needed to thrive as a freelance generative AI engineer?

To thrive as a Freelance Generative AI Engineer, you need a deep understanding of machine learning, neural networks, and programming languages such as Python, often supported by a degree in computer science or related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms, and experience with AI model deployment are typically required. Strong problem-solving abilities, adaptability, and effective communication help you collaborate with clients and address evolving project needs. These skills are crucial for developing innovative AI solutions, meeting client expectations, and staying competitive in a rapidly changing field.

What are the most common challenges faced by freelance generative AI engineers when working with clients on custom AI solutions?

Freelance Generative AI Engineers often encounter challenges such as managing client expectations regarding project timelines and the complexity of AI models, especially when clients have limited technical knowledge. Ensuring clear communication about data requirements, model capabilities, and ethical considerations is crucial for successful project delivery. Additionally, freelancers must stay up to date with rapidly evolving AI frameworks and tools while balancing multiple projects and deadlines. Building robust documentation and maintaining transparency throughout the development process can help mitigate misunderstandings and foster long-term client relationships.

What are the most commonly searched types of Generative Ai Engineer jobs in Rochester, NY?

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For Freelance Generative Ai Engineer jobs in Rochester, NY, the most frequently searched job titles are:

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Freelance Generative Ai Engineer jobs near you
Infographic showing various Freelance Generative Ai Engineer job openings in Rochester, NY as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $97,907 per year, or $47.1 per hour.

Cloud Engineer- Data/AI Focused

Innovative Solutions

Rochester, NY

$100K - $160K/yr

Full-time

Re-posted 16 days ago

Job description

As a Data & AI Engineer, you’ll build and deploy modern data pipelines and generative AI solutions on AWS — from scalable ETL/ELT workflows and cloud data platforms to production-grade RAG systems and AI agents. One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you’re building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You’ll work directly with clients to deliver end-to-end data and AI solutions that are secure, scalable, and production-ready.

What You’ll Do:

  • Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR
  • Creating and maintaining data extraction, transformation, and loading processes
  • Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB
  • Implementing data lakes using S3 and related AWS services
  • Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude
  • Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases
  • Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
  • Writing and testing SQL queries and stored procedures
  • Documenting technical solutions and providing knowledge transfer to customers
  • Supporting the implementation of data governance and security controls
  • Troubleshooting and resolving issues with data pipelines and AI services
  • Participating in code reviews and implementing feedback
  • Assisting with proof-of-concept implementations for customer engagements

Required Skills:

  • 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
  • 2+ years of hands-on AWS experience with production deployments
  • 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)
  • Proven track record delivering production AI applications from concept to deployment
  • Strong understanding of software engineering best practices (version control, testing, code review, documentation)
  • Experience working in agile/scrum environments with distributed teams
  • Excellent problem-solving skills and ability to work independently with minimal supervision
  • Strong written and verbal communication skills for client-facing interactions

Preferred:

  • Technical familiarity with AWS data and AI/ML services and modern data engineering practices
  • Hands-on experience with ETL/ELT processes and data transformation
  • Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks
  • Ability to write and optimize SQL queries across various database platforms
  • Knowledge of data modeling concepts and best practices
  • Strong analytical and problem-solving skills
  • Eagerness to learn new technologies and keep up with cloud and AI innovations
  • Excellent communication skills with the ability to explain technical concepts clearly
  • Attention to detail and commitment to solution quality
  • Collaborative mindset with strong teamwork capabilities
  • Experience or interest in automation and infrastructure as code
The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.