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

Ralliant

DevSecOps Platform Engineer

Rochester, NY · On-site

Build the Future of Enterprise Analytics As part of Qualitrol's AI-Native Product Engineering organization, this role builds the engineering platform behind Specification-Driven Agentic SDLC ...

Ralliant

DevSecOps Platform Engineer

Rochester, NY · On-site

Build the Future of Enterprise Analytics As part of Qualitrol's AI-Native Product Engineering organization, this role builds the engineering platform behind Specification-Driven Agentic SDLC ...

CaterTrax

Senior Agentic AI Engineer

Rochester, NY · On-site

$103K - $141K/yr

The Senior Agentic AI Engineer is the operational owner of the Constituent Data Layer (CDL) and the ... Partner with platform engineering on agent runtime, deployment, and operational readiness.

New

Pwc

US Tech - AI Engineering Manager

Rochester, NY · On-site

$73K - $244K/yr

As a Manager you will combine engineering knowledge with people leadership to deliver resilient platforms that integrate cloud infrastructure, conversational AI, data, and enterprise systems. This ...

Tompkins Community Bank

Applied AI Engineer

Batavia, NY · On-site

$105K/yr

Overview The Applied AI Engineer is responsible for identifying, developing, and implementing ... Machine Learning Operations and Platform Management * Establish and maintain MLOps practices to ...

Pwc

AI Engineer

Rochester, NY · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... and AI credentials - Building and orchestrating AI agent workflows using frameworks such as ...

MegazoneCloud US

Sr. AI FDE

Rochester, NY · On-site

$54.50 - $70.25/hr

They are seeking a Senior AI Forward Deployed Engineer to work directly with clients, driving the adoption of AI platforms and ensuring successful integration and production of generative AI ...

MegazoneCloud Global

Sr. AI FDE

Rochester, NY · On-site

$54.50 - $70.25/hr

As a Senior AI Forward Deployed Engineer, you will work directly with global clients to implement AI solutions, ensuring successful integration and adoption of advanced AI platforms and tools.

MegazoneCloud

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 adoption of leading AI platforms and agentic developer tooling: generative and agentic AI solutions on ...

Pwc

AI Engineer

Rochester, NY · On-site

$55K - $187K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... AI implementation and machine learning libraries - Excelling in complex data analysis and data ...

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All JobsAi Platform Engineer JobsAi Platform Engineer Jobs in Rochester, NY

Ai Platform Engineer information

See Rochester, NY salary details

$32

$63

$93

How much do ai platform engineer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for ai platform engineer in Rochester, NY is $63.10, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $72.84 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.
What are popular job titles related to Ai Platform Engineer jobs in Rochester, NY? For Ai Platform Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Ai Platform Engineer jobs in Rochester, NY look for? The top searched job categories for Ai Platform Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Ai Platform Engineer jobs? Cities near Rochester, NY with the most Ai Platform Engineer job openings:
Ai Platform Engineer jobs near you

DevSecOps Platform Engineer

Ralliant

Rochester, NY • On-site

Full-time

Posted 15 days ago

Job description

DevSecOps Platform Engineer - Enterprise Analytics Services
Position Summary
The DevSecOps Platform Engineer enables the Enterprise Analytics Services product squads by designing, securing, automating, and operating the software delivery platform supporting a common code base across cloud-native and customer-managed on-premises deployments.
Build the Future of Enterprise Analytics
As part of Qualitrol's AI-Native Product Engineering organization, this role builds the engineering platform behind Specification-Driven Agentic SDLC, embedding security, automation, observability, and deployment portability into every release.
Mission
Own the engineering platform enabling CI/CD, Infrastructure as Code, DevSecOps, observability, hybrid-cloud deployment, and software supply-chain security across Enterprise Analytics Services.
Areas of Stewardship
  • Design secure CI/CD pipelines using GitHub Actions and/or Azure DevOps.
  • Automate deployments for Azure, Azure Arc, Azure Stack Hub, Kubernetes and customer-managed environments.
  • Implement SAST, DAST, SBOMs, artifact signing, secrets management and vulnerability management.
  • Develop Infrastructure as Code using Terraform, Bicep and Helm.
  • Implement OpenTelemetry, Prometheus, Grafana and centralized logging.
  • Partner with Product Engineers, Architects and QA to improve engineering productivity through AI-enabled automation.
What You'll Bring
  • Bachelor's degree in Computer Science or related discipline.
  • 5+ years in DevOps, Platform Engineering, SRE or DevSecOps.
  • Kubernetes, Docker, Linux, Terraform, Helm, GitHub Actions/Azure DevOps, Python/Bash/PowerShell.
  • Experience with Azure/AWS, Azure Arc, Azure Stack Hub and hybrid-cloud deployments.
  • Knowledge of Zero Trust, IAM, OAuth2/OIDC, PKI, secure SDLC and industrial cybersecurity.
  • Experience with Agile Scrum; SAFe 6.0 preferred.
  • Experience using AI tools to automate engineering workflows.
Engineering Principles
  • Automate before repeating.
  • Security is a design requirement.
  • Observability is a platform capability.
  • Design once. Deploy anywhere.
  • AI accelerates engineering; accountability remains human.
  • Enable product teams through reusable platform capabilities.
Success Measures
  • Automated secure pipelines adopted across all squads.
  • Consistent cloud and on-prem deployments.
  • Improved release velocity and software quality.
  • Improved cybersecurity and compliance posture.
  • High platform reliability and developer productivity.
Why Join Us
Build the engineering platform powering Qualitrol's next generation of enterprise analytics services and help shape an AI-Native Product Engineering organization.
#LI-PW1
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.

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