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Edge Ai Machine Learning Jobs in Rochester, NY (NOW HIRING)

CaterTrax, Inc.

Senior Agentic AI Engineer

Rochester, NY · On-site

$103K - $141K/yr

AI & MACHINE LEARNING PLATFORMS * Large language model (LLM) platforms: OpenAI / Azure OpenAI, Anthropic Claude, AWS Bedrock, or equivalent. * Agent orchestration frameworks, function/tool calling ...

Deloitte

Lead AI and Data Science Engineer II

Rochester, NY · On-site

$101K - $133K/yr

Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ... in workforce data, build data and generative artificial intelligence (GenAI) applications, and ...

CaterTrax

Senior Agentic AI Engineer

Rochester, NY · On-site

$103K - $141K/yr

AI & MACHINE LEARNING PLATFORMS * Large language model (LLM) platforms: OpenAI / Azure OpenAI, Anthropic Claude, AWS Bedrock, or equivalent. * Agent orchestration frameworks, function/tool calling ...

D3 Engineering, LLC

Engineering Program Manager

West Henrietta, NY · On-site

$101K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Master of Science or PhD in Computer Vision, Machine/Deep Learning, Computer Science, Computer ... Experience with edge AI (accelerators, integration, model conversions, deployment, profiling, etc.

D3 Embedded

Engineering Program Manager

West Henrietta, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Master of Science or PhD in Computer Vision, Machine/Deep Learning, Computer Science, Computer ... Experience with edge AI (accelerators, integration, model conversions, deployment, profiling, etc ...

D3 Engineering

Engineering Program Manager

Rochester, NY · On-site

$101.10 - $146.70/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Master of Science or PhD in Computer Vision, Machine/Deep Learning, Computer Science, Computer ... Experience with edge AI (accelerators, integration, model conversions, deployment, profiling, etc.

Pwc

CTIO AI Engineering Manager

Rochester, NY

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Responsibilities - Work with cross-functional teams to incorporate AI into various applications ...

Pwc

US Tech - AI Engineering Manager

Rochester, NY

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... The Opportunity As part of the People Tech & AI team you will lead the design, build, and operation ...

Pwc

US Tech - AI Engineering Senior Associate

Rochester, NY

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... The Opportunity As part of the People Tech & AI team you will develop, test, and validate ...

FirstLight

Carrier Voice Engineer

Victor, NY · On-site

$75K - $95K/yr

Apply AI, machine learning, automation, and advanced analytics to improve fraud detection, threat identification, incident response, and operational efficiency. * Analyze telecom data from CDRs, SIP ...

Mindex

AI Solutions Design Manager - Hybrid

Rochester, NY · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Strong understanding of machine learning, LLMs, NLP, deep learning, and automation technologies. * Hands-on experience with modern AI platforms (Azure ML, Databricks, OpenAI, AWS, etc.). * Proven ...

Mindex

AI Solutions Design Manager - Hybrid

Rochester, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Strong understanding of machine learning, LLMs, NLP, deep learning, and automation technologies. * Hands-on experience with modern AI platforms (Azure ML, Databricks, OpenAI, AWS, etc.). * Proven ...

Mindex

AI Solutions Design Manager - Hybrid

Rochester, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Strong understanding of machine learning, LLMs, NLP, deep learning, and automation technologies. * Hands-on experience with modern AI platforms (Azure ML, Databricks, OpenAI, AWS, etc.). * Proven ...

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Showing results 21-40

All JobsEdge Ai Machine Learning JobsEdge Ai Machine Learning Jobs in Rochester, NY

Edge Ai Machine Learning information

See Rochester, NY salary details

$25.2K

$42K

$86.8K

How much do edge ai machine learning jobs pay per year?

As of Aug 16, 2026, the average yearly pay for edge ai machine learning in Rochester, NY is $42,016.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 per year, depending on experience, location, and employer.

What is an Edge AI Machine Learning?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the key skills and qualifications needed to thrive in the Edge AI Machine Learning position?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

How to become an edge AI machine learning engineer?

To become an edge AI machine learning engineer, develop strong skills in machine learning, embedded systems, and programming languages like Python and C++. Gain experience with hardware platforms such as NVIDIA Jetson or Raspberry Pi, and learn to optimize models for low-power, resource-constrained environments. Earning certifications in AI, embedded systems, or IoT can also enhance your qualifications.

What are the most commonly searched types of Edge Ai Machine Learning jobs in Rochester, NY?

The most popular types of Edge Ai Machine Learning jobs in Rochester, NY are:

What are popular job titles related to Edge Ai Machine Learning jobs in Rochester, NY?

For Edge Ai Machine Learning jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Edge Ai Machine Learning jobs in Rochester, NY look for?

The top searched job categories for Edge Ai Machine Learning jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Edge Ai Machine Learning jobs?

Cities near Rochester, NY with the most Edge Ai Machine Learning job openings:

Edge Ai Machine Learning jobs near you
Infographic showing various Edge Ai Machine Learning job openings in Rochester, NY as of June 2026, with employment types broken down into 5% Internship, 68% Full Time, 11% Part Time, and 16% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $42,016 per year, or $20.2 per hour.

Senior Agentic AI Engineer

CaterTrax, Inc.

Rochester, NY • On-site

$103K - $141K/yr

Full-time

Posted 13 days ago

Job description

Hungry, humble and smart? If you have these qualities, we want you on the team.
Job Summary:
The Senior Agentic AI Engineer is the operational owner of the Constituent Data Layer (CDL) and the safe, secure rollout of AI agents across CaterTrax® constituent surfaces.
Reporting to the Director, Enterprise Architecture as a member of the Data Layer group, this engineer manages the CDL schema, the agent registry, and the policy engine that governs which agents can access which data under which conditions, and instruments the data flywheel that returns outcomes from agent actions back into the layer.
The role partners with the Director of Strategic Solutions on Brief-to-agent translation, with the Director, Product and Solutions on engineering intake, with platform engineering on runtime, and with Finance on data flywheel ROI metrics. Without this role, agents would be built ad hoc across teams with no shared governance; this seat ensures they are not.
Job Description:
ESSENTIAL DUTIES AND RESPONSIBILITIES
CONSTITUENT DATA LAYER OWNERSHIP
  • Manage the Constituent Data Layer schema, including versioning, integrity, and evolution as constituent surfaces expand.
  • Own the agent registry: the authoritative record of every agent operating across CaterTrax surfaces.
  • Build and operate the policy engine governing which agents can access which data under which conditions.
  • Establish and maintain shared governance so agents are built on the CDL rather than ad hoc across teams.

AGENT DEVELOPMENT & SAFE ROLLOUT
  • Design, build, and deploy AI agents across constituent surfaces on the shared platform substrate.
  • Implement guardrails, evaluation harnesses, and monitoring for agent behavior in production.
  • Define and operate the rollout process for new agents, including staged release, human oversight, and rollback.
  • Lead incident response for agent behavior issues, including root-cause analysis and remediation.

DATA FLYWHEEL & MEASUREMENT
  • Instrument the data flywheel that returns outcomes from agent actions back into the Constituent Data Layer.
  • Partner with Finance to define and report data flywheel ROI metrics.
  • Ensure agent telemetry supports both product improvement and executive decision-making.

CROSS-FUNCTIONAL PARTNERSHIP
  • Partner with the Director of Strategic Solutions on Brief-to-agent translation, converting constituent problem framing into agent designs.
  • Partner with the Director, Product and Solutions on engineering intake and sequencing.
  • Partner with platform engineering on agent runtime, deployment, and operational readiness.

ENGINEERING EXCELLENCE
  • Uphold engineering standards, code review practices, and documentation quality across all Data Layer work.
  • Embed security and privacy by design into every agent and data-layer decision.

QUALIFICATIONS AND EXPERIENCE INCLUDES
EDUCATION
Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline required.
Master's degree preferred.
EXPERIENCE
Required:
  • 6+ years of professional software engineering experience, including 2+ years building LLM-based or AI-powered systems in production.
  • Hands-on experience with retrieval-augmented generation (RAG), vector databases, and prompt/agent design patterns.
  • Strong data modeling and API design skills, including schema governance in a shared-platform context.
  • Experience implementing evaluation, monitoring, and guardrails for AI systems in production.
  • Proficiency in Python and/or a modern backend language used in production services.

Preferred:
  • Experience with agent orchestration frameworks, agent registries, or policy/authorization engines.
  • Experience in foodservice technology, hospitality tech, or B2B SaaS platforms.
  • Familiarity with responsible AI practices, AI governance frameworks, and data privacy regulations.

SKILLS AND COMPETENCY REQUIREMENTS
  • Ownership: Treats the Constituent Data Layer as a product with constituents, not a project with tasks.
  • Safety mindset: Designs for what agents must never do before optimizing what they can do.
  • Pragmatic shipping: Delivers working, governed capability iteratively rather than perfect systems slowly.
  • Cross-functional translation: Moves fluently between constituent problem language and engineering design.
  • Documentation discipline: Leaves every schema, agent, and policy legible to the next engineer.
  • Curiosity: Tracks the rapidly evolving agentic AI landscape and applies it judiciously.

TECHNOLOGY SKILLS
The Senior Agentic AI Engineer is expected to bring deep hands-on proficiency across the following technology domains.
AI & MACHINE LEARNING PLATFORMS
  • Large language model (LLM) platforms: OpenAI / Azure OpenAI, Anthropic Claude, AWS Bedrock, or equivalent.
  • Agent orchestration frameworks, function/tool calling, and multi-agent patterns.
  • Retrieval-augmented generation (RAG) architecture and vector database platforms.
  • AI ops tooling for model monitoring, versioning, drift detection, and deployment pipelines.

CLOUD & INFRASTRUCTURE
  • Cloud platforms: proficiency in Microsoft Azure, with fluency across AWS and Google Cloud.
  • Containerization and orchestration: Docker and Kubernetes.
  • Serverless and event-driven architecture patterns.

DATA & ANALYTICS
  • SQL, relational, and vector databases.
  • Data pipeline and transformation tooling.
  • Schema design, data contracts, and data governance practices.

SOFTWARE ENGINEERING & DEVOPS
  • Source control and collaboration: Git, GitHub, or GitLab, including PR workflows and code review practices.
  • CI/CD pipeline platforms: GitHub, Azure DevOps.
  • API design and management; identity and access patterns (OAuth 2.0, SSO/SAML).
  • Agile and project management tooling: Jira, Confluence (Atlassian suite experience preferred).

PRODUCTIVITY & COLLABORATION
  • Microsoft 365 suite: Teams, SharePoint, Excel, and PowerPoint.
  • AI productivity tools: Microsoft Copilot, Anthropic Claude, or similar for personal and team enablement.

COMPENSATION
Salary range: $140,000 - $170,000, dependent upon experience
PHYSICAL DEMANDS
While performing the duties of this job, the employee is regularly required to sit; use hands to operate a computer, copier, fax or other office equipment. The employee must occasionally lift and/or move up to 15 pounds.
WORK ENVIRONMENT
Assumes a hybrid work environment located in Rochester, New York.
While performing the duties of this job, the noise level in the work environment is usually quiet to moderate.
TRAVEL
Up to 10%, Domestic (as required)
Worker Type:
Regular
Number of Openings Available:
1
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