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Gen Ai Software Developer Jobs in Rochester, NY (NOW HIRING)

AI Engineer

Rochester, NY · On-site

$50K - $112K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate, you will focus on learning and ...

AI Engineer

Rochester, NY · On-site

$55K - $187K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... Within our Internal Firm Services practice, you will apply data, algorithms, and software ...

DevOps Solutions Engineer

Hopewell, NY · On-site

$53.25 - $73/hr

As a DevOps Solutions Engineer , you won't just maintain systems-you'll reimagine how AI ... Develop scalable AI-enhanced infrastructure that powers next-gen gifting experiences. Continuously ...

Senior Agentic AI Engineer

Rochester, NY · On-site

$103K - $141K/yr

EXPERIENCE Required: * 6+ years of professional software engineering experience, including 2+ years building LLM-based or AI-powered systems in production. * Hands-on experience with retrieval ...

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Gen Ai Software Developer information

See Rochester, NY salary details

$47.4K

$110.4K

$163.8K

How much do gen ai software developer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for gen ai software developer in Rochester, NY is $110,354.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $128,300.00 per year, depending on experience, location, and employer.

How do Gen AI software developers typically collaborate with data scientists and product managers during the development process?

Gen AI Software Developers regularly work alongside data scientists to translate machine learning models into scalable, production-ready applications. They collaborate closely with product managers to understand user requirements and ensure that AI-powered features align with business goals. This teamwork often involves participating in cross-functional meetings, iterative feedback cycles, and joint problem-solving sessions to address technical challenges and optimize model performance. Clear communication and a shared understanding of project objectives are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as a Gen AI software developer, and why are they important?

To thrive as a Gen AI Software Developer, you need strong programming skills (especially in Python), a background in computer science or a related field, and expertise in machine learning and deep learning principles. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of version control systems are typically required, along with certifications in AI or data science being advantageous. Creative problem-solving, collaboration, and effective communication help developers work across technical and non-technical teams and drive innovation. These skills ensure the development of robust, scalable AI solutions that address real-world needs and integrate seamlessly within organizations.

What is a Gen AI software developer?

A Gen AI Software Developer is a professional who designs, builds, and maintains software systems that leverage generative artificial intelligence models, such as large language models (LLMs) or generative adversarial networks (GANs). Their work often involves training, fine-tuning, and deploying AI models to generate content, automate tasks, or enhance user experiences in applications. They need strong programming skills, a solid understanding of machine learning principles, and familiarity with AI frameworks. Gen AI Software Developers collaborate with data scientists, engineers, and product teams to deliver innovative AI-driven solutions. As generative AI becomes more prevalent, these developers play a key role in shaping the future of software development.

What is the difference between Gen Ai Software Developer vs Machine Learning Engineer?

AspectGen Ai Software DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; experience with AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming skills
Work EnvironmentTech companies, startups, AI-focused teamsResearch labs, tech firms, AI/ML departments
Employer & Industry UsageAI product development, software solutionsModel development, data analysis, AI system deployment
Common Search & ComparisonFocuses on AI application development in softwareFocuses on building and optimizing ML models

While both roles involve AI and require programming skills, Gen Ai Software Developers primarily focus on creating AI-powered software applications, whereas Machine Learning Engineers specialize in designing, building, and optimizing machine learning models. The roles often overlap but differ in their core focus and typical work environments.

What cities near Rochester, NY are hiring for Gen Ai Software Developer jobs? Cities near Rochester, NY with the most Gen Ai Software Developer job openings:
Infographic showing various Gen Ai Software Developer job openings in Rochester, NY as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $110,354 per year, or $53.1 per hour.

Cyber Forward Deployed Engineer - Consultant

Deloitte

Rochester, NY • On-site

Other

Re-posted 10 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

46th of 150 rated financial services


Job description

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture.

Recruiting for this role ends on 12/31/2026.

Work you'll do

1.       Solution Delivery & Engineering (Primary Focus)

Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture

Identify, troubleshoot, and resolve technical issues within scope

2.       Pre-Sales & Deal Shaping

Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes

Contribute to solution design, ensuring alignment between client needs and delivery feasibility.

3.       Product Feedback & Continuous Improvement

Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs.

Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks.

The team

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Qualifications

Required:

  • 3+ years of experience in full stack software engineering, application development, or software product delivery
  • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a technical field
  • Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
  • 3+ years' experience in Node.js, Python (Django/Flask), or Java (Spring Boot).
  • 3+ years' Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
  • 3+ years' Experience building and integrating REST APIs, microservices, and serverless architectures.
  • 3+ years' Experience deploying applications on AWS, Azure, or GCP.
  • Familiarity with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
  • AI system architectures and ability to align application pipelines to support them.
  • 1+ year of Client-Facing & Delivery experience
  • 1+ year experience working directly with business stakeholders to translate requirements into technical solutions.
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications (AWS, Azure, GCP).
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $100,400 to $197,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture.

Recruiting for this role ends on 12/31/2026.

Work you'll do

1.       Solution Delivery & Engineering (Primary Focus)

Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture

Identify, troubleshoot, and resolve technical issues within scope

2.       Pre-Sales & Deal Shaping

Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes

Contribute to solution design, ensuring alignment between client needs and delivery feasibility.

3.       Product Feedback & Continuous Improvement

Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs.

Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks.

The team

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Qualifications

Required:

  • 3+ years of experience in full stack software engineering, application development, or software product delivery
  • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a technical field
  • Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
  • 3+ years' experience in Node.js, Python (Django/Flask), or Java (Spring Boot).
  • 3+ years' Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
  • 3+ years' Experience building and integrating REST APIs, microservices, and serverless architectures.
  • 3+ years' Experience deploying applications on AWS, Azure, or GCP.
  • Familiarity with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
  • AI system architectures and ability to align application pipelines to support them.
  • 1+ year of Client-Facing & Delivery experience
  • 1+ year experience working directly with business stakeholders to translate requirements into technical solutions.
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications (AWS, Azure, GCP).
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $100,400 to $197,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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