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Ai Implementation Jobs in Rochester, NY (NOW HIRING)

CaterTrax, Inc.

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 ... Implement guardrails, evaluation harnesses, and monitoring for agent behavior in production.

Volaris Group

Senior Agentic AI Engineer

Rochester, NY

$103K - $141K/yr

The Senior Agentic AI Engineer is the operational owner of the Constituent Data Layer (CDL) and the ... Implement guardrails, evaluation harnesses, and monitoring for agent behavior in production.

New

CaterTrax

Senior Agentic AI Engineer

Rochester, NY

$103K - $141K/yr

The Senior Agentic AI Engineer is the operational owner of the Constituent Data Layer (CDL) and the ... Implement guardrails, evaluation harnesses, and monitoring for agent behavior in production.

MegazoneCloud

Sr. AI FDE

Rochester, NY · On-site

$145K - $165K/yr

... implementations, and AI delivery harnesses applicable across engagements. • Champion shift-left security, responsible AI, and FinOps practices for AI workloads, including token-cost and model ...

micro1 AI

Bioinformatics Software Engineer

Rochester, NY · Remote

$80 - $110/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

Innovative Solutions

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

As a Data/AI Architect, you'll design and build data-driven cloud architectures on AWS - from S3 ... Implement medallion architecture (bronze/silver/gold) for data warehouses on Redshift, Snowflake ...

Innovative Solutions

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

As a Data/AI Architect, you'll design and build data-driven cloud architectures on AWS -- from S3 ... Implement medallion architecture (bronze/silver/gold) for data warehouses on Redshift, Snowflake ...

Pwc

ERP AI Engineer - Manager

Rochester, NY

$99K - $232K/yr

These individuals analyse client needs, implement software solutions, and provide training and ... This role offers the chance to shape AI solution architecture while driving innovation and ...

MegazoneCloud

Sr. Solutions Architect AI

Rochester, NY · On-site

$170K - $195K/yr

Architect and oversee the implementation of enterprise-scale AI/ML and GenAI platforms across AWS, Azure, GCP, and Databricks. * Be the Client-Facing Expert: Lead discovery workshops to surface high ...

Megazone Cloud US

Sr. Solutions Architect AI

Rochester, NY · On-site

$150 - $200/hr

Architect and oversee the implementation of enterprise-scale AI/ML and GenAI platforms across AWS, Azure, GCP, and Databricks. * Be the Client-Facing Expert: Lead discovery workshops to surface high ...

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Showing results 21-40

All JobsAi Implementation JobsAi Implementation Jobs in Rochester, NY

Ai Implementation information

See Rochester, NY salary details

$38.5K

$102.1K

$165.8K

How much do ai implementation jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ai implementation in Rochester, NY is $102,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $119,400.00 per year, depending on experience, location, and employer.

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

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

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

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

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

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

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

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Ai Implementation jobs near you
Infographic showing various Ai Implementation 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 $102,138 per year, or $49.1 per hour.

Senior Agentic AI Engineer

CaterTrax, Inc.

Rochester, NY • On-site

$103K - $141K/yr

Full-time

Posted 15 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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