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

Company Description BCC Software develops innovative software and data solutions that power ... Evaluate and introduce practical uses of AI to improve QA efficiency and product quality. * Refine ...

Company Description BCC Software develops innovative software and data solutions that power ... Evaluate and introduce practical uses of AI to improve QA efficiency and product quality. * Refine ...

Sr. AI FDE

Rochester, NY · On-site

$54.50 - $70.25/hr

Required : • 8-10+ years engineering production software, with hands-on experience building ... AI/ML specialty certifications a plus. Preferred : • Experience leading technology-adoption or ...

Sr. AI FDE

Rochester, NY · On-site

$54.50 - $70.25/hr

Required : • 8-10+ years engineering production software, with hands-on experience building ... AI/ML specialty certifications a plus. Company : MegazoneCloud stands as Asia's leading cloud ...

Director of Engineering - Enterprise Software & Analytics Services (Agile Value Stream Leader) Position Summary Qualitrol is building an AI-Native Product Engineering team focused on enterprise ...

Sr. AI FDE

Rochester, NY · On-site

$145K - $165K/yr

As an AI Forward Deployed Engineer (FDE) , you embed directly with global clients to drive the ... Qualifications • 8-10+ years engineering production software, with hands-on experience building ...

Collaborate with Product and Customer Success to identify and prioritize high-impact AI use cases across the client lifecycle. PLATFORM & SOFTWARE ENGINEERING * Provide executive oversight of ...

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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 7, 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.

Full-time

Re-posted 13 hours ago


Job description

Company Description

BCC Software develops innovative software and data solutions that power critical customer communications for organizations across North America. With more than 45 years of industry leadership, we combine deep postal expertise with modern technology to help our customers streamline operations, improve efficiency, and drive growth. 

Job Description

The QA Engineering Manager is responsible for leading and advancing quality assurance engineering practices across a diverse portfolio of desktop and SaaS products. This position is accountable for establishing and executing a modern quality strategy focused on automation, scalable test frameworks, AI-assisted quality practices, and standardized processes across the organization.

This role operates at both a strategic and operational level, providing leadership in team development, quality governance, release confidence, and continuous improvement initiatives. The Engineering QA Manager partners closely with Engineering, Product Management, DevOps, Platform/IT, and Support teams to implement consistent testing methodologies, improve product quality, and optimize delivery processes.

The position requires strong people leadership combined with technical expertise in test automation, desktop and web application testing, CI/CD integration, and emerging AI technologies that enhance test design, defect detection, issue triage, and overall engineering productivity.

Essential Functions

  • QA leadership and team management:
    • Establish clear team structure, role clarity, career growth and performance expectation among QA engineering staff.
    • Balance resource allocation across multiple projects and product offerings aligning with strategic priorities, defined roadmap and release schedules.
    • Work with other engineering leaders in building strong culture of quality ownership, accountability, continuous improvement and collaboration.
    • Mentor team members in modern QA engineering practices, automation and quality metrics.
    • Manage contractor contributions to ensure consistency in quality, output, standards and integration across all teams.
  • Define and execute a unified QA strategy across the organization.
  • Establish and standardize scalable, repeatable QA processes across teams and products.
  • Lead development and scaling of sustainable test automation strategy across the entire products portfolio identifying opportunities to increase ROI by prioritizing high-value, high-repeatability scenarios and reducing low-value test efforts.
  • Be a key driver in defining standards for automated test architecture, code quality, maintainability and reporting.
  • Partner with development teams to ensure automation is integrated into CI/CD practices
  • Advocate for customers by presenting their perspective in developer-level design and implementation discussions.
  • Track and improve key quality indicators such as automation coverage, reliability, defect escape trends and false-failure rates.
  • Evaluate and introduce practical uses of AI to improve QA efficiency and product quality.
  • Refine existing, establish new and institutionalize best practices, policies and quality gates/metrics across all teams creating standard operating models for test planning, test case design/documentation, defect lifecycle management, release readiness assessment and UAT support.
Qualifications
  • 10-15 years of experience in Quality Assurance / Quality Engineering including at least 5+ years of experience leading teams.
  • Experience managing teams that support both SaaS and desktop solutions.
  • Strong knowledge of modern QA practices including functional, regression, API, UI automation, end-to-end release testing.
  • Good written and verbal communication skills.
  • Practical experience in integrating test practices into CI/CD processes.
  • Strong understanding of SDLC agile delivery models and release management.
  • Ability to create and standardize QA processes cross-teams and cross-departments.
  • Technology background to understand complex multi-server and/or container SaaS solutions with ability to navigate across them for the purpose of validating expected outcomes. 
  • Experience with test case management as well as issue tracking tools.
  • Capable of coordinating security-oriented testing in partnership with security and engineering teams.
  • The following are considered a plus:
    • AI-assisted QA practices
    • Git or similar source code repository experience
    • Experience managing quality for multi-tenant public cloud solutions running native services.
    • Understanding of modern security principles and ability to apply it to organization-wide QA practice.
Additional Information

Work Location

This position offers remote work flexibility, with a preference for candidates located in the Rochester, NY area to enable increased in-person and onsite collaboration as business needs evolve.
Physical Demands

This is primarily an office-based role requiring extended periods of sitting and frequent use of hands for typing, writing, and operating standard office equipment. The position requires effective verbal and written communication. Occasional standing, walking, bending, reaching, or lifting of office supplies or small equipment up to 25 pounds may be required. Visual acuity sufficient for reading, computer work, and document review is necessary. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the position.

Position Type and Expected Hours of Work

This is a full-time exempt position. Some flexibility in hours is allowed, but the employee must be available during the "core" work hours of Monday through Friday, 8:00 a.m. to 5:00 p.m. Additional hours including evening and weekend work may be required as job duties demand.

AAP/EEO Statement

BCC Software provides equal employment opportunity to all individuals regardless of age, race, color, creed, religion, ancestry, sex (including pregnancy, childbirth or related medical conditions), gender, sexual orientation, gender identity or expression (including transgender status), national origin, veteran or military status, marital status, genetic information, physical or mental disability, familial status, reproductive health decisions, status as a victim of domestic violence, or any other basis protected by applicable laws and regulations. Further, the company takes affirmative action to ensure that all applicants and employees are treated without regard to any of these characteristics during the application process and/or employment. Discrimination of any type will not be tolerated.