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Ai Agent Jobs in Rochester, NY (NOW HIRING)

AI Solutions Engineer

Rochester, NY · On-site +1

$120K - $150K/yr

Develop AI agents and multi-agent orchestration systems using frameworks like LangChain, LlamaIndex, or custom implementations * Create conversational AI interfaces with natural language ...

AI Solutions Engineer

Rochester, NY · Remote

$120K - $150K/yr

Develop AI agents and multi-agent orchestration systems using frameworks like LangChain, LlamaIndex, or custom implementations * Create conversational AI interfaces with natural language ...

New

AI Solutions Engineer

Rochester, NY · On-site +1

$120K - $150K/yr

Develop AI agents and multi-agent orchestration systems using frameworks like LangChain, LlamaIndex, or custom implementations * Create conversational AI interfaces with natural language ...

New

Machine Setup Technician

Rochester, NY · On-site

$23.14 - $31.19/hr

AI agent role is to help speed up your hiring process by answering questions, confirming basic information, and identifying whether there's a mutual fit. The call or chat may be recorded so that our ...

AI agent role is to help speed up your hiring process by answering questions, confirming basic information, and identifying whether there's a mutual fit. The call or chat may be recorded so that our ...

Senior Agentic AI Engineer

Rochester, NY · On-site

$103K - $141K/yr

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 ...

Senior Agentic AI Engineer

Rochester, NY

$103K - $141K/yr

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 ...

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Ai Agent information

See Rochester, NY salary details

$14

$29

$39

How much do ai agent jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for ai agent in Rochester, NY is $29.74, according to ZipRecruiter salary data. Most workers in this role earn between $23.22 and $39.13 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Agent?

To thrive as an AI Agent, you need a strong background in artificial intelligence, machine learning, and data analysis, often supported by a relevant degree in computer science or a related field. Familiarity with programming languages such as Python, TensorFlow, and natural language processing (NLP) tools, as well as certifications in machine learning or AI technologies, is often required. Strong problem-solving abilities, teamwork, and effective communication skills are important for collaborating on complex projects. These abilities are essential for developing, maintaining, and improving AI-driven solutions that meet the needs of businesses and end-users.

What does an AI Agent do?

AI Agents often work on projects that involve designing, developing, and optimizing AI-driven systems such as chatbots, recommendation engines, or automated decision-making tools. Daily tasks may include data preprocessing, model training and evaluation, troubleshooting system performance, and collaborating with data scientists, software engineers, and product managers to align solutions with business objectives. The work environment is typically collaborative, fast-paced, and outcome-oriented, allowing team members to contribute ideas and innovations regularly. Over time, AI Agents can progress into more specialized or leadership roles, taking on greater responsibilities and overseeing larger initiatives.

What is an AI Agent?

An AI Agent job typically involves designing, developing, and managing autonomous or semi-autonomous AI systems that can perform tasks, make decisions, and interact with users or other systems. AI Agents may be used in customer service, data analysis, automation, and decision-making processes. Professionals in this role often work with machine learning models, natural language processing, and reinforcement learning to enhance the capabilities of AI-driven agents.

What are the most commonly searched types of Ai Agent jobs in Rochester, NY? The most popular types of Ai Agent jobs in Rochester, NY are:
What are popular job titles related to Ai Agent jobs in Rochester, NY? For Ai Agent jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Ai Agent jobs in Rochester, NY look for? The top searched job categories for Ai Agent jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Ai Agent jobs? Cities near Rochester, NY with the most Ai Agent job openings:
Infographic showing various Ai Agent job openings in Rochester, NY as of August 2026, with employment types broken down into 73% Full Time, 9% Part Time, and 18% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $61,866 per year, or $29.7 per hour.

AI Solutions Engineer

Innovative Solutions

Rochester, NY • On-site, Remote

$120K - $150K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

We are seeking an AI Solutions Engineer to lead client AI initiatives from discovery through production deployment. You will partner with clients to identify high-impact Generative AI use cases, evaluate data readiness, and rapidly build proof-of-concept applications that demonstrate tangible business value. You will design and implement production-ready AI solutions leveraging Amazon Bedrock, foundation models, RAG pipelines, and AI agent frameworks such as LangChain and LlamaIndex. As a client-facing technologist, you will translate business requirements into technical architecture recommendations and guide clients on AI/ML best practices.

Location: This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter

What this role is responsible for:

AI Assessment & Discovery

  • Participate in client discovery workshops and technical interviews to identify and prioritize high-impact GenAI use cases
  • Analyze client data landscapes, evaluating data readiness, quality, and accessibility for AI solutions
  • Rapidly design and build proof-of-concept (POC) applications and live demonstrations that validate AI use cases and illustrate business value to client stakeholders
  • Translate discovery findings into technical specifications, architecture recommendations, and implementation plans
  • Present POC results and assessment recommendations to client teams, building confidence and momentum for production investments

GenAI Solution Development

  • Design and implement production-ready Generative AI applications using Amazon Bedrock, Anthropic Claude, and other foundation models
  • Build and optimize RAG (Retrieval-Augmented Generation) pipelines with vector databases (Weaviate, OpenSearch, Pinecone)
  • Develop AI agents and multi-agent orchestration systems using frameworks like LangChain, LlamaIndex, or custom implementations
  • Create conversational AI interfaces with natural language understanding, intent detection, and context management
  • Implement prompt engineering strategies, few-shot learning, and fine-tuning approaches for domain-specific applications
 

Client Engagement & Delivery

  • Translate business requirements into technical specifications and suggested implementation plans
  • Provide technical guidance and recommendations to clients on AI/ML best practices
  • Document architecture decisions, code, and deployment suggestions

What makes someone successful in this role:

  • You have a proven track record delivering production AI applications from concept to deployment
  • You excel at conducting technical discovery and assessment work, including stakeholder workshops and use-case identification
  • You can build proof-of-concept applications and live demonstrations that communicate technical concepts to non-technical audiences
  • You have excellent problem-solving skills and the ability to work independently with minimal supervision
  • You possess strong written and verbal communication skills for client-facing interactions
  • You are passionate about Generative AI and stay current with the latest developments in LLMs, agents, and AI frameworks

Requirements:

  • 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
  • 2+ years of hands-on AWS experience with production deployments
  • 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)
  • AWS Certifications: Solutions Architect Associate/Professional, Machine Learning Specialty, or Developer Associate (preferred)
  • Background in healthcare, financial services, or regulated industries with understanding of compliance requirements (HIPAA, PCI-DSS, SOC 2) (preferred)
  • Contributions to open-source AI/ML projects or published technical content (preferred)
  • Experience with multi-tenant SaaS architectures and data isolation patterns (preferred)
  • Knowledge of cost optimization strategies for AI workloads (model selection, caching, batching) (preferred)
  • Familiarity with frontend frameworks (React, Angular) for building AI-powered UIs (preferred)
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\\n$120,000 - $150,000 a yearThe salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate\'s professional experience, key skills, and education/training\\n