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Applied Ai Engineer Jobs in Rochester, NY (NOW HIRING)

Signal Energy

Site Manager

Elba, NY · On-site

Applied High Voltage (AHV) is an electrical engineering and construction company with expertise in ... use of AI note-takers, recording devices, or real-time transcription software is strictly ...

Signal Energy

Site Manager

Elba, NY · On-site

Applied High Voltage (AHV) is an electrical engineering and construction company with expertise in ... use of AI note-takers, recording devices, or real-time transcription software is strictly ...

unybrands

Test Lab Technician

Rochester, NY · On-site

... re building the AI-enabled retail tech platform to help them consolidate and win. THE ROLE ... applied technical fluency that translates directly to engineering, quality and product roles ...

National Grid

Field Tester B Electric (2)

Batavia, NY · On-site

$39.62/hr

... programming, troubleshooting, and upgrades. * Respond to requests from various departments to ... Associate in Applied Science (AAS) in Electrical Technology from an accredited institution, or ...

National Grid

Field Tester B Electric (2)

Batavia, NY · On-site

$39.62/hr

... programming, troubleshooting, and upgrades. * Respond to requests from various departments to ... Associate in Applied Science (AAS) in Electrical Technology from an accredited institution, or ...

National Grid

Field Tester B Electric (2)

Batavia, NY · On-site

$39.62/hr

... programming, troubleshooting, and upgrades. * Respond to requests from various departments to ... Associate in Applied Science (AAS) in Electrical Technology from an accredited institution, or ...

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Showing results 21-37

All JobsApplied Ai Engineer JobsApplied Ai Engineer Jobs in Rochester, NY

Applied Ai Engineer information

What are the key skills and qualifications needed to thrive as an applied AI engineer?

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

What is the difference between Applied Ai Engineer vs Data Scientist?

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

What are some common challenges applied AI engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.

How much does an applied AI engineer make?

An applied AI engineer's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.
What job categories do people searching Applied Ai Engineer jobs in Rochester, NY look for? The top searched job categories for Applied Ai Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Applied Ai Engineer jobs? Cities near Rochester, NY with the most Applied Ai Engineer job openings:
Applied Ai Engineer jobs near you
Infographic showing various Applied Ai Engineer job openings in Rochester, NY as of August 2026, with employment types broken down into 74% Full Time, 21% Part Time, and 5% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution.

Cyber Full-Stack Software Engineer

Deloitte

Rochester, NY • On-site

Other

Re-posted 17 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, andaa proactively manage their security posture.

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

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.

Position Summary

Join Deloitte's Cyber Engineering team to help build technology that supports the next generation of cybersecurity services. As a Full Stack Engineer, you will design, develop, and enhance applications across frontend and backend environments, working with modern engineering practices and cloud-based technologies. You will collaborate with cross-functional teams to deliver scalable, secure, and maintainable solutions that support client and business needs.

Work you'll do

As a Full Stack Engineer on the Cyber Engineering team, you will be responsible for...

  • Collaborating with business stakeholders, engineers, and team leadership to translate business needs into technical solutions
  • Designing, developing, testing, and enhancing full stack applications across frontend and backend technologies
  • Building and integrating application programming interfaces, microservices, and cloud-based services to support product functionality
  • Supporting product quality through code reviews, testing, debugging, and continuous integration and continuous deployment practices
  • Contributing to technical analysis, solution design, and delivery activities that support client outcomes and product development

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a similar technical field
  • 1-3+ years experience in the following areas: 
    • 1-3+ years of experience in full stack development across frontend and backend technologies, including experience with Angular, React, or Next.js and JavaScript, TypeScript, HTML5, and CSS3
    • 1-3+ years of experience in backend development using Node.js, Python with Django or Flask, or Java with Spring Boot
    • 1-3+ years of experience building and consuming Representational State Transfer application programming interfaces and working with microservices or serverless architectures in production environments
    • 1-3+ years of experience working with relational databases and at least 1 NoSQL database, and using Git, Azure DevOps or similar tools, Docker, Agile or Scrum methods, automated testing, and continuous integration and continuous deployment pipelines
    • 1-3+ years of experience developing, integrating, or deploying artificial intelligence, Generative AI, or agentic AI solutions within enterprise applications on Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • 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:

  • Experience with object-oriented programming, design patterns, and clean coding practices
  • Experience building secure, reusable, responsive, and maintainable applications
  • Experience with secure development practices, DevOps, DevSecOps, web security, GitOps, or Kubernetes customization
  • Experience with OpenSearch, Elasticsearch, Neo4j, Memgraph, Maven, or Gradle
  • Experience with Bootstrap, jQuery, or JavaServer Pages in legacy or mixed-technology environments
  • Cloud certification in Amazon Web Services, Microsoft Azure, or Google Cloud Platform

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.

#CyberCtBEngg

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

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, andaa proactively manage their security posture.

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

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.

Position Summary

Join Deloitte's Cyber Engineering team to help build technology that supports the next generation of cybersecurity services. As a Full Stack Engineer, you will design, develop, and enhance applications across frontend and backend environments, working with modern engineering practices and cloud-based technologies. You will collaborate with cross-functional teams to deliver scalable, secure, and maintainable solutions that support client and business needs.

Work you'll do

As a Full Stack Engineer on the Cyber Engineering team, you will be responsible for...

  • Collaborating with business stakeholders, engineers, and team leadership to translate business needs into technical solutions
  • Designing, developing, testing, and enhancing full stack applications across frontend and backend technologies
  • Building and integrating application programming interfaces, microservices, and cloud-based services to support product functionality
  • Supporting product quality through code reviews, testing, debugging, and continuous integration and continuous deployment practices
  • Contributing to technical analysis, solution design, and delivery activities that support client outcomes and product development

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a similar technical field
  • 1-3+ years experience in the following areas: 
    • 1-3+ years of experience in full stack development across frontend and backend technologies, including experience with Angular, React, or Next.js and JavaScript, TypeScript, HTML5, and CSS3
    • 1-3+ years of experience in backend development using Node.js, Python with Django or Flask, or Java with Spring Boot
    • 1-3+ years of experience building and consuming Representational State Transfer application programming interfaces and working with microservices or serverless architectures in production environments
    • 1-3+ years of experience working with relational databases and at least 1 NoSQL database, and using Git, Azure DevOps or similar tools, Docker, Agile or Scrum methods, automated testing, and continuous integration and continuous deployment pipelines
    • 1-3+ years of experience developing, integrating, or deploying artificial intelligence, Generative AI, or agentic AI solutions within enterprise applications on Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • 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:

  • Experience with object-oriented programming, design patterns, and clean coding practices
  • Experience building secure, reusable, responsive, and maintainable applications
  • Experience with secure development practices, DevOps, DevSecOps, web security, GitOps, or Kubernetes customization
  • Experience with OpenSearch, Elasticsearch, Neo4j, Memgraph, Maven, or Gradle
  • Experience with Bootstrap, jQuery, or JavaServer Pages in legacy or mixed-technology environments
  • Cloud certification in Amazon Web Services, Microsoft Azure, or Google Cloud Platform

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.

#CyberCtBEngg

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Education:Bachelor's DegreeEmployment Type:

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