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Generative Ai Engineer Intern Jobs in Rochester, NY

Leads the integration of generative, agentic, and predictive AI across digital experiences, personalization, self-service, and operational workflows, while scaling AI-assisted engineering to ...

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

... from intern to executive. Qualifications : Required : • 3-5+ years of professional data ... Preferred : • Experience with GenAI, AI/ML frameworks, and MLOps. • Certifications in ...

Cyber Data Protection Manager

Rochester, NY · Remote

$109K - $148K/yr

... considerations for generative AI, copilots, agents, or other AI-enabled business use cases ... Bachelor's degree in Cybersecurity, Information Security, Engineering, Computer Science ...

Work closely with internal and external teams of developers, UI/UX professionals, graphic designers ... Use approved AI tools to accelerate research, summarize information, and draft content (e.g ...

Data Engineer

Rochester, NY · On-site

$110K - $140K/yr

... from intern to executive. What You Bring (Requirements) * 3-5+ years of professional data ... Bonus Points (Nice-to-Haves) * Experience with GenAI , AI/ML frameworks, and MLOps.

We're an AI-forward company. If you're excited about building real products for real communities at ... The Role We're bringing on a PM intern to support the Host Squad product team during a high ...

We're an AI-forward company. If you're excited about building real products for real communities at ... The Role We're bringing on a PM intern to support the Host Squad product team during a high ...

We're an AI-forward company. If you're excited about building real products for real communities at ... The Role We're bringing on a PM intern to support the Host Squad product team during a high ...

We're an AI-forward company. If you're excited about building real products for real communities at ... The Role We're bringing on a PM intern to support the Host Squad product team during a high ...

Python Developer IV

Webster, NY · On-site

$111K - $174K/yr

... AI, and human expertise to help organizations work smarter, support their people, and achieve ... Benefits for part-time, contract, and intern roles may vary. Not sure if you meet every requirement?

Python Developer IV

Webster, NY · Remote

$111K - $174K/yr

... AI, and human expertise to help organizations work smarter, support their people, and achieve ... Benefits for part-time, contract, and intern roles may vary. Not sure if you meet every requirement?

Showing results 41-54

Generative Ai Engineer Intern information

See Rochester, NY salary details

$10

$19

$29

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

As of Aug 6, 2026, the average hourly pay for generative ai engineer intern in Rochester, NY is $19.06, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $20.62 per hour, depending on experience, location, and employer.

What does a generative AI engineer intern do?

A Generative AI Engineer Intern assists in developing and testing machine learning models, specifically those that can create new content such as text, images, or audio. They work with frameworks like TensorFlow or PyTorch, collaborate with senior engineers, and help improve the performance and reliability of generative AI systems. Interns may also be involved in data preprocessing, model evaluation, and keeping up with the latest research in artificial intelligence.

What skills and qualifications are needed to thrive as a generative AI engineer intern?

To thrive as a Generative AI Engineer Intern, you need a solid understanding of machine learning fundamentals, programming skills (especially in Python), and coursework or experience in artificial intelligence or computer science. Familiarity with deep learning frameworks like TensorFlow or PyTorch and version control systems such as Git is typically required, and relevant coursework or certifications in AI/ML are advantageous. Strong problem-solving skills, curiosity, and the ability to communicate complex ideas clearly help interns stand out. These skills and qualities are crucial for quickly learning advanced AI techniques, contributing to team projects, and driving innovation in a rapidly evolving field.

What types of projects can a generative AI engineer intern expect to work on during their internship?

As a Generative AI Engineer Intern, you can expect to work on projects involving the development, training, and evaluation of generative models such as GANs, VAEs, or transformer-based architectures. Typical tasks may include data preprocessing, model implementation, fine-tuning, and running experiments to improve model performance. Interns often collaborate closely with data scientists, software engineers, and research teams, gaining exposure to both research and application of AI in real-world products. This role provides hands-on experience with state-of-the-art tools and frameworks, offering a valuable foundation for a future career in AI engineering or research.

What is the difference between Generative Ai Engineer Intern vs Machine Learning Engineer Intern?

AspectGenerative Ai Engineer InternMachine Learning Engineer Intern
Required CredentialsBasic knowledge of AI, programming, and some coursework in machine learning or AIStrong foundation in machine learning, programming, and data analysis, often with coursework or certifications
Work EnvironmentTech companies, startups, research labs focusing on AI applicationsTech firms, research institutions, and companies applying machine learning models
Industry UsageDeveloping generative models like GPT, DALL·E, and similar AI toolsBuilding predictive models, data pipelines, and machine learning algorithms

While both roles involve AI and machine learning, a Generative Ai Engineer Intern focuses specifically on creating generative models like text, images, or audio, whereas a Machine Learning Engineer Intern works broadly on developing and deploying various machine learning algorithms across different applications.

What are the most commonly searched types of Generative Ai Engineer jobs in Rochester, NY? The most popular types of Generative Ai Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Generative Ai Engineer Intern jobs? Cities near Rochester, NY with the most Generative Ai Engineer Intern job openings:
Infographic showing various Generative Ai Engineer Intern job openings in Rochester, NY as of August 2026, with employment types broken down into 17% Internship, 66% Full Time, and 17% Part Time. Highlights an 100% In-person job distribution, with an average salary of $39,639 per year, or $19.1 per hour.

Director Digital Delivery

Lthc

Rochester, NY • On-site

Full-time

Medical, Dental, Retirement

Re-posted yesterday


Job description

Job Description:

Summary:

The Director, Digital Delivery provides enterprise leadership in translating business strategy into scalable, measurable digital outcomes across the health plan. This role owns the strategy, roadmap, delivery, performance, and continuous evolution of customer-facing digital platforms (Web and Mobile), ensuring investments deliver differentiated customer experiences, operational efficiency, compliance, and measurable business value. This role drives digital transformation through an AI-first approach, embedding generative, agentic, and predictive AI across customer experiences, operational workflows, and the product lifecycle, while scaling AI-assisted engineering to improve velocity, quality, and speed-to-market. The Director oversees cross-functional digital capabilities, including product management, UX, engineering, testing, architecture, and operations, ensuring teams operate with modern, cloud-native, and AI-enabled delivery practices. This role also champions a culture of innovation, experimentation, and continuous improvement while ensuring strong governance, financial discipline, and regulatory compliance in a healthcare environment.


Essential Accountabilities

  • Partners with senior leadership to translate enterprise strategy into a multi-year digital roadmap and delivery plan aligned to customer needs, business priorities, and measurable outcomes.
  • Owns the end-to-end strategy, lifecycle, performance, reliability, and continuous evolution of customer-facing Web and Mobile platforms, ensuring a secure, scalable, and high-performing digital ecosystem.
  • Leads the integration of generative, agentic, and predictive AI across digital experiences, personalization, self-service, and operational workflows, while scaling AI-assisted engineering to accelerate innovation and delivery speed.
  • Accountable for end-to-end digital delivery across scope, timeline, budget, quality, and compliance, advancing Agile, DevOps, CI/CD, API-first, and cloud-native practices across Azure and AWS environments.
  • Leads and develops cross-functional teams spanning product, UX, engineering, testing, and architecture; builds organizational capability through AI-assisted engineering practices, upskilling, and adoption of best-in-class delivery standards.
  • Establishes KPIs and leverages analytics, experimentation (A/B testing), and AI-driven insights to optimize customer experience, platform performance, and business outcomes.
  • Oversees digital financials, vendor partnerships, and investment prioritization while establishing governance frameworks, responsible AI guardrails, and compliance with healthcare regulations, privacy, security, and audit requirements.
  • Consistently demonstrates high standards of integrity by supporting the Lifetime Healthcare Companies' mission and values, adhering to the Corporate Code of Conduct, and leading to the Lifetime Way values and beliefs.
  • Models the Lifetime Way behaviors and values on a consistent basis and promotes these behaviors across the organization while developing high-performing leaders and teams.
  • Maintains knowledge of all relevant legislative and regulatory mandates and ensures that all activities are compliant with these requirements.
  • Regular reliable attendance is expected and required.
  • Maintains high regard for member privacy in accordance with the corporate privacy policies and procedures.
  • Performs other functions assigned by management.


Minimum Qualifications:

  • Ten (10) years of related experience in digital products, technology delivery in regulated industries, of which three (3) years of defined leadership experience managing across the digital technology function.
  • Bachelor's degree in technology, business or related field. In lieu of a degree, six (6) years of experience required.
  • Demonstrated expert experience leading digital product and technology delivery within a healthcare payer environment, including member-facing platforms, regulatory compliance requirements, and industry standards (e.g., HIPAA, CMS).
  • Demonstrated advanced experience driving AI-enabled transformation and cloud platform modernization initiatives, including scaling AI-assisted software engineering practices, accelerating delivery velocity, and improving customer and member experiences.
  • Demonstrated advanced experience influencing and leading enterprise-wide transformation initiatives through product operating models, data-driven decision making, analytics, governance frameworks, and responsible AI practices to achieve measurable business outcomes.
  • Demonstrated advanced proficiency in leveraging enterprise tools and digital platforms to support executive-level reporting, communication, and oversight of customer-facing web and mobile solutions.


Physical Requirements:

  • Ability to complete work in a traditional office environment under fluorescent lighting.
  • Must be able to travel across the enterprise.
  • Ability to work in a home office for continuous periods of time for business continuity


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In support of the Americans with Disabilities Act, this job description lists only those responsibilities and qualifications deemed essential to the position.


Equal Opportunity Employer


Compensation Range(s):

Min:137,857 Max: 248,143

The salary range indicated in this posting represents the minimum and maximum of the salary range for this position. Actual salary will vary depending on factors including, but not limited to, budget available, prior experience, knowledge, skill and education as they relate to the position's minimum qualifications, in addition to internal equity. The posted salary range reflects just one component of our total rewards package. Other components of the total rewards package may include participation in group health and/or dental insurance, retirement plan, wellness program, paid time away from work, and paid holidays.

Please note: There may be opportunity for remote work within all jobs posted by the Excellus Talent Acquisition team. This decision is made on a case-by-case basis.


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.