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

Outfront Media

Lead AI Platform Engineer

Rochester, NY · On-site

$175 - $200/hr

About the Role We are seeking the first dedicated owner for OUTFRONT's internal AI platform. As a senior engineering owner, you will take full ownership of the architecture, write production code ...

Outfront Media

AI Automation Engineer

Rochester, NY · On-site

$125 - $145/hr

Power Platform, our internal AI tooling, OOH advertising -- none of it is a prerequisite. We assume you'll pick those up. What we can't teach you in 90 days is the engineering chops. You will also ...

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

$120 - $160/hr

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 ...

Pwc

US Tech - AI Engineering Manager

Rochester, NY

$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 ...

Ralliant

SaaS Architect - Analytics Platform

Rochester, NY · On-site

$104.30 - $193.70/hr

AI-First Engineering Champion AI-assisted software development including: * Specification-driven ... Cloud platforms * AI technologies * Data architecture * Microservices and plugins * APIs * Event ...

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.

Pwc

AI Engineer

Rochester, NY

$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

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 ...

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

Ai Platform Engineer information

See Rochester, NY salary details

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How much do ai platform engineer jobs pay per hour?

As of Sep 3, 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 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 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.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

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

Lead AI Platform Engineer

Outfront Media

Rochester, NY • On-site

$175 - $200/hr

Other

Posted 15 days ago

Outfront Media rating

8.5

Company rating: 8.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

12th of 78 rated media

Job description

About the Role

We are seeking the first dedicated owner for OUTFRONT's internal AI platform. As a senior engineering owner, you will take full ownership of the architecture, write production code, set the direction for our AI platform, and partner closely with our CTO and VP of AI to shape the future of the company’s AI-native era.

What You’ll Work On
  • OUTGPT – Own and move our internal AI platform built on the Vercel AI SDK and AWS Bedrock into full production, lay out the roadmap, expand model and agent capabilities, integrate internal data sources, and make it the default surface for the 75‑person tech organization.
  • Agency Connect MCP – Evolve the Model Context Protocol server that exposes OUTFRONT inventory, holds, and campaign tools to AI buyer agents, scaling it with partner adoption.
  • Agent Infrastructure – Design and build the shared platform for internal automation teams, covering model routing, evaluation, guardrails, observability, secrets handling, and cost controls.
  • AWS Bedrock & AgentCore – Be the deepest voice on the AWS AI stack, evaluating, integrating, and operationalizing new capabilities as they ship.
  • Architectural Authority – Own technical decisions across the AI surface area, from OUTGPT integration with Salesforce and Snowflake to how Agency Connect MCP scales with partner adoption.
  • Mentorship – Set the engineering bar for the AI & Automation pod, review designs, elevate the team, and raise their ceiling.
What We’re Looking For
  • 7+ years building production backend or full‑stack systems, with at least 2 years on LLM-backed systems that real users depend on.
  • Deep AWS experience, especially Bedrock, Lambda, ECS, App Runner, RDS, IAM, and networking for AI workloads.
  • Proficiency in TypeScript/Node and/or Python; our platform is TypeScript‑forward (Vercel AI SDK, Next.js) with Python used in agent infrastructure.
  • Hands‑on experience with agent frameworks and protocols (MCP, A2A, or equivalent) or a clear track record of evaluating and adopting emerging frameworks quickly.
  • Strong API design instincts; you should understand the difference between shipping a feature and shipping a capability.
  • Excellent communication and judgment; you can turn fuzzy problems into working systems for non‑technical partners.
Nice to Have
  • Experience in advertising technology, particularly programmatic, OOH, or DOOH.
  • Familiarity with M365 / Power Platform, as our automation pod operates there.
  • Experience with Snowflake, Sigma, or modern analytics stacks.
  • Open source contributions to MCP, agent frameworks, or related ecosystems.
Reporting and Team

Reports to the VP of AI. Partners closely with the CTO, a Senior Solutions Engineer, a Solutions Engineer focused on internal business automation, and an intern.

Compensation

For New York, New Jersey, and California, the salary range is $175,000–$200,000 per year. Salary is determined during the interview process based on experience, skills, and market benchmarks.

Equal Opportunity Employer

OUTFRONT Media is an Equal Opportunity Employer. All applicants shall receive equal consideration without regard to race, color, religion, gender, marital status, gender identity or expression, sexual orientation, national origin, age, veteran status, or disability. Please refer to the OUTFRONT Media affirmative action policy statement.

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What Outfront Media employees say

Pay

Benefits

Hours and flexibility

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