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Ai Infrastructure Jobs in Rochester, NY (NOW HIRING)

Socket.dev

Chief Information Officer

Rochester, NY · On-site

$170 - $250/hr

Knowledge of AI governance, AI-enabled productivity tools, and responsible AI practices * Experience with cloud platforms and hybrid infrastructure environments * Strong understanding of ...

Lovingly

Senior Next.js Engineer

Hopewell, NY · On-site

$123K - $163K/yr

Use AI for predictive performance optimization Development Workflow & Infrastructure * Manage Nx-based monorepo with PNPM, ensuring optimal dependency management * Work with DevOps on CI/CD ...

Webbing

IoT Connectivity Account Executive (US)

York, NY · On-site +1

... AI, edge computing, real-time data, and connected infrastructure. From enabling live broadcast operations and industrial telemetry to powering logistics visibility, remote monitoring, and mission ...

Ralliant

DevSecOps Platform Engineer

Rochester, NY · On-site

Develop Infrastructure as Code using Terraform, Bicep and Helm. * Implement OpenTelemetry ... Experience using AI tools to automate engineering workflows. Engineering Principles * Automate ...

Ralliant

DevSecOps Platform Engineer

Rochester, NY · On-site

Develop Infrastructure as Code using Terraform, Bicep and Helm. * Implement OpenTelemetry ... Experience using AI tools to automate engineering workflows. Engineering Principles * Automate ...

Bespoke Labs

Data Engineer

Rochester, NY · On-site

$113K - $136K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... and building the infrastructure that makes world-scale RL training possible. This is a high ...

Bespoke Labs

Data Engineer

Geneseo, NY · On-site

$110K - $132K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... and building the infrastructure that makes world-scale RL training possible. This is a high ...

MegazoneCloud Global

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

The role involves designing and maintaining data pipelines and infrastructure on AWS, mastering the ... Preferred : • Experience with GenAI, AI/ML frameworks, and MLOps. • Certifications in ...

CaterTrax, Inc.

Chief Technology Officer

Rochester, NY · On-site

... AI use cases across the client lifecycle. PLATFORM & SOFTWARE ENGINEERING * Provide executive oversight of platform engineering and infrastructure, ensuring the platform is scalable, reliable ...

CaterTrax

Chief Technology Officer

Rochester, NY · On-site +1

... AI use cases across the client lifecycle. PLATFORM & SOFTWARE ENGINEERING * Provide executive oversight of platform engineering and infrastructure, ensuring the platform is scalable, reliable ...

Socket.dev

Chief Technology Officer

Rochester, NY · On-site

$180 - $260/hr

... AI use cases across the client lifecycle. PLATFORM & SOFTWARE ENGINEERING * Provide executive oversight of platform engineering and infrastructure, ensuring the platform is scalable, reliable ...

FirstLight

Carrier Voice Engineer

Victor, NY · On-site

$75K - $95K/yr

... AI-enabled analytics, software systems, databases, and Tier III operational support. The ideal ... Protect voice infrastructure against SIP-based attacks, toll fraud, robocalling abuse, traffic ...

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All JobsAi Infrastructure JobsAi Infrastructure Jobs in Rochester, NY

Ai Infrastructure information

See Rochester, NY salary details

$27

$58

$86

How much do ai infrastructure jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for ai infrastructure in Rochester, NY is $58.41, according to ZipRecruiter salary data. Most workers in this role earn between $47.45 and $68.08 per hour, depending on experience, location, and employer.

What is AI infrastructure?

AI infrastructure refers to the combination of hardware, software, and cloud-based solutions that support the development, deployment, and scaling of artificial intelligence applications. It includes components such as GPUs, CPUs, storage systems, networking, data management tools, and machine learning frameworks. The goal of AI infrastructure is to provide the computational power and resources needed to train, test, and run AI models efficiently, whether on-premises or in the cloud. Organizations invest in robust AI infrastructure to accelerate innovation, manage large datasets, and ensure the reliability of their AI systems.

What are the key skills and qualifications needed to thrive in AI infrastructure?

To thrive in AI Infrastructure, you need expertise in software engineering, distributed systems, cloud platforms, and a solid understanding of machine learning workflows, often supported by degrees in computer science or related fields. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud services (AWS, GCP, Azure), as well as experience with CI/CD pipelines and monitoring systems, is essential. Strong problem-solving abilities, effective communication, and adaptability help professionals excel in cross-functional teams and rapidly evolving environments. These skills and qualities are crucial for building scalable, reliable systems that power AI applications and support organizational innovation.

What are common challenges faced by professionals working in AI infrastructure roles, and how can they be addressed?

Professionals in AI Infrastructure roles often encounter challenges related to scalability, system reliability, and integration with existing IT environments. Managing rapidly growing datasets and ensuring seamless deployment of machine learning models can be complex, requiring robust automation and monitoring tools. Collaboration with data scientists, software engineers, and DevOps teams is critical to ensure infrastructure meets the evolving needs of AI projects. Staying updated with the latest cloud technologies and best practices can help address these challenges and drive successful AI implementations.

What is the difference between Ai Infrastructure vs Data Engineer?

AspectAi InfrastructureData Engineer
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of cloud platforms and AI toolsBachelor's in CS, Data Science, or related; programming and database skills
Work EnvironmentCloud environments, AI model deployment, infrastructure setupData pipelines, database management, data processing
Employer & Industry UsageTech companies, AI startups, cloud providersTech firms, finance, healthcare, e-commerce

Ai Infrastructure professionals focus on building and maintaining the hardware and software systems that support AI models, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate but serve different core functions within AI and data ecosystems.

How much do AI infrastructure engineers make?

AI infrastructure engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and hardware may earn higher salaries, often exceeding $180,000.

What are AI infrastructure jobs?

AI infrastructure jobs involve designing, building, and maintaining the hardware, software, and network systems necessary to support artificial intelligence applications. These roles often require knowledge of cloud computing, data centers, machine learning frameworks, and system optimization to ensure reliable and efficient AI model deployment and operation.

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

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

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

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

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

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

Ai Infrastructure jobs near you
Infographic showing various Ai Infrastructure job openings in Rochester, NY as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $121,494 per year, or $58.4 per hour.

Product Engineer - Enterprise Analytics Services

Ralliant

Rochester, NY • On-site

Full-time

Posted 19 days ago

Job description

Product Engineer - Enterprise Analytics Services
Position Summary
Independent technical leader delivering complex software capabilities while contributing to architecture and mentoring peers.
Build the Future of Enterprise Analytics
Qualitrol's Enterprise Analytics Services organization develops AI-native, cloud-agnostic enterprise software that powers advanced analytics for critical electrical infrastructure. Engineers follow a Specification-Driven Agentic SDLC, collaborating with AI throughout architecture, implementation, testing, documentation, and validation while retaining full engineering accountability.
Mission
Own delivery of complex analytics services from specification through production deployment.
Areas of Stewardship
  • Lead implementation of major epics.
  • Author engineering specifications.
  • Design resilient distributed services.
  • Drive software quality, testing, and production readiness.
  • Mentor Product Engineers.
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 Working
Work within Agile Scrum teams using SAFe 6.0 principles. Collaborate daily with Product Owners, Product Architects, Quality Assurance, fellow engineers, and AI agents to deliver secure, observable, cloud-agnostic enterprise software.
Engineering Principles
  • Own products, not features.
  • Begin with specifications, not code.
  • AI accelerates engineering; accountability remains human.
  • Architecture is everyone's responsibility.
  • Design once. Deploy anywhere.
  • Security is a design requirement.
  • Observability is a product capability.
  • Optimize for customer outcomes.
Why Join Us
Help build one of the industry's most ambitious enterprise analytics platforms for critical infrastructure while shaping the future of AI-Native Product
Ralliant Corporation Overview
Ralliant, originally part of Fortive, now stands as a bold, independent public company driving innovation at the forefront of precision technology. With a global footprint and a legacy of excellence, we empower engineers to bring next-generation breakthroughs to life - faster, smarter, and more reliably. Our high-performance instruments, sensors, and subsystems fuel mission-critical advancements across industries, enabling real-world impact where it matters most. At Ralliant we're building the future, together with those driven to push boundaries, solve complex problems, and leave a lasting mark on the world.
About Qualitrol
QUALITROL manufactures monitoring and protection devices for high value electrical assets and OEM manufacturing companies. Established in 1945, QUALITROL produces thousands of different types of products on demand and customized to meet our individual customers' needs. We are the largest and most trusted global leader for partial discharge monitoring, asset protection equipment and information products across power generation, transmission, and distribution. At Qualitrol, we are redefining condition-based monitoring.
We Are an Equal Opportunity Employer. Ralliant Corporation and all Ralliant Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Ralliant and all Ralliant Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@Ralliant.com.
Bonus or Equity
This position is also eligible for bonus as part of the total compensation package.

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