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

Job Requirements Software Development & AutomationEngineering Software Solutions: Design ... AI/ML applications, or Industry 4.0 technologies. • Experience with OPC-UA, MQTT, REST APIs, or ...

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 ... You'll apply best-practice automation - infrastructure as code (IaC), CI/CD, and DevSecOps - to ...

Software Engineer

Fairport, NY · On-site

$150 - $200/hr

WHAT YOU'LL BRING 6+ years building enterprise software, cloud-native development, APIs, event-driven systems, plugins, testing automation, Agile, and AI-assisted engineering workflows. WAYS OF ...

Support automation and controls projects involving PLCs, sensors, motion control systems, robotics ... Experience applying AI tools (e.g., Microsoft Copilot, ChatGPT) to improve productivity and ...

Support automation and controls projects involving PLCs, sensors, motion control systems, robotics ... Experience applying AI tools (such as Microsoft Copilot, ChatGPT, or other AI-assisted engineering ...

Demonstrated willingness to continuously learn and adopt emerging AI technologies to enhance manufacturing, automation, and engineering processes. * Basic understanding of Industrial Internet of ...

Senior Electrical Engineer, MPDE

Webster, NY · On-site

$98K - $128K/yr

... AI, cloud computing, and hyperscale data center infrastructure. You'll solve complex electrical engineering challenges involving automation, controls, high-speed electronics, and manufacturing ...

Showing results 21-40

Ai Automation Engineer information

See Rochester, NY salary details

$36.5K

$105.7K

$160.8K

How much do ai automation engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for ai automation engineer in Rochester, NY is $105,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,300.00 and $121,900.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

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

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

Is AI automation a high paying job?

AI automation engineers typically earn higher-than-average salaries due to their specialized skills in machine learning, programming, and data analysis. Salaries vary based on experience, location, and industry, but the role is generally considered well-compensated within the tech field.

Is AI automation engineer in demand?

AI automation engineers are in high demand due to the increasing adoption of artificial intelligence and automation across industries. They are needed to develop, implement, and maintain AI-driven systems, often requiring skills in machine learning, programming, and data analysis. Job opportunities are growing as companies seek to improve efficiency and innovation through automation technologies.

What are popular job titles related to Ai Automation Engineer jobs in Rochester, NY?

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

What job categories do people searching Ai Automation Engineer jobs in Rochester, NY look for?

The top searched job categories for Ai Automation Engineer jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Ai Automation Engineer jobs?

Cities near Rochester, NY with the most Ai Automation Engineer job openings:

Infographic showing various Ai Automation 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 $105,698 per year, or $50.8 per hour.

Manager - Grid Model & Plan Automation

Rochester, NY • On-site

Full-time

Posted 23 days ago


Job description

Job Title: Manager - Grid Model & Plan Automation

Location: Rochester, NY; Binghamton, NY

Work type: Office (on-site)

The salary range for this position is dependent upon experience, ranging from $134,720 to $168,400.

Job Summary

This role leads the transformation of distribution system planning through advanced data modeling, automation of engineering analyses, and continuous process improvement. This role is responsible for developing and implementing scalable solutions that enhance the efficiency, accuracy, and consistency of planning activities.

The position combines deep technical expertise in power system modeling and analysis with leadership in digital tools, data governance, and engineering standards. The Grid Modeling & Planning Automation Manager ensures that planning processes are supported by high-quality system data, automated workflows, and standardized methodologies aligned with grid modernization objectives.

This role also drives innovation in planning practices to improve reliability, optimize capital investments, and support increasing system complexity driven by DER integration, electrification, and new technologies.

Responsibilities:

  • Lead the development, governance, and continuous improvement of distribution system models used in planning tools (e.g., power flow, hosting capacity, contingency analysis), ensuring accuracy, consistency, and scalability.

  • Establish and enforce data standards, validation processes, and quality controls across operating companies to standardize and automate planning studies.

  • Oversee the integration of multi-source utility data (GIS, SCADA, AMI, asset systems) into planning models and ensure data readiness for advanced analytics and AI applications.

  • Lead the design and implementation of automated planning analyses, including power flow, contingency, and scenario-based studies.

  • Develop and deploy automation solutions (e.g., Python, SQL, and workflow tools) to streamline study execution, reporting, and engineering decision-making.

  • Drive adoption of advanced planning tools, AI, and digital solutions, including leading pilot programs, evaluating new technologies, and scaling successful innovations.

  • Integrate AI-driven insights and intelligent automation into planning processes, including forecasting, scenario analysis, anomaly detection, and automated study validation.

  • Define, maintain, and enhance Distribution Planning Criteria and engineering standards, ensuring alignment with evolving grid needs, regulatory expectations, and emerging technologies.

  • Advance planning capabilities to address grid modernization challenges, including electrification impacts, load forecasting, DER integration, and Non-Wires Alternatives (NWA).

  • Lead and mentor a multidisciplinary team while collaborating across Planning, IT, Regulatory, and external partners (vendors, universities, research organizations) and representing the company in technical and regulatory forums.

Required Qualifications:

Education & Experience Required:

  • Bachelor's degree in Electrical Engineering and 8+ years of relevant experience in power systems, with emphasis on distribution planning, modeling, or analytics.

  • Strong knowledge of distribution system modeling and power flow analysis, Planning studies and Grid modernization technologies and DER impacts.

  • Experience with Power system software (e.g., CYME, Synergi, OpenDSS, PSCAD, etc.), Scripting/programming (Python, SQL) and Data management and model integration.

  • Understanding of Utility data systems (GIS, AMI, SCADA) and Regulatory and compliance frameworks (NERC, ISO, PUCs).

  • Strong communication skills for both technical and executive audiences.

Preferred Qualifications:

  • Advanced degree.

Behavioral Competencies:

  • Develop self & others

  • Empower to grow

  • Collaborate and share

  • Be a role model

  • Focus to achieve results

  • Be agile

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Company:

NY STATE ELECTRIC & GAS CORP

Mobility Information

Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country.

At Avangrid we provide fair and equal employment and advancement opportunities for all employees and candidates regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, disability, protected veteran status or any other status protected by federal, state, or local law.
If you are an individual with a disability or a disabled veteran who is unable to use our online tool to search for or to apply for jobs, you may request a reasonable accommodation by contacting our People and Organization department at careers@avangrid.com.

Avangrid employees may be assigned a system emergency role and in the event of a system emergency, may be required to work outside of their regular schedule/job duties. This is applicable to employees that will work in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate functions. This does not include those that will work for Avangrid Power.

Avangrid employees may also be assigned a NERC Reliability Standards compliance role supporting Critical Infrastructure Protection (CIP) and/or Operations and Planning (O&P) responsibilities. This is applicable to employees that will work in electric transmission, operations, and cyber security business areas in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate business areas. NERC Reliability Standards compliance roles and responsibilities may include additional access protections, training, audit engagement, and required evidence retention, and will be communicated by the employee's management.

Job Posting End Date:

September-18-2026