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Ai Support Jobs in Rochester, NY (NOW HIRING)

MegazoneCloud US

Sr. AI FDE

Rochester, NY · On-site

$54.50 - $70.25/hr

... Support pursuit teams with solution diagrams, scoping, and engagement estimation. • Present ... AI/ML specialty certifications a plus. Preferred : • Experience leading technology-adoption or ...

MegazoneCloud Global

Sr. AI FDE

Rochester, NY · On-site

$54.50 - $70.25/hr

... Support pursuit teams with solution diagrams, scoping, and engagement estimation. • Present ... AI/ML specialty certifications a plus. Company : MegazoneCloud stands as Asia's leading cloud ...

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 ... Support pursuit teams with solution diagrams, scoping, and engagement estimation. • Present ...

Deloitte

AI Security Engineer Manager

Rochester, NY · On-site

As a Manager in AI Security Engineering, you will play a critical role in securing the development ... Iterative and Responsible Innovation Support rapid experimentation while applying appropriate ...

Deloitte

AI Security Engineer Senior Manager

Rochester, NY · On-site

$113K - $154K/yr

... support business agility and growth. Recruiting for this role ends on 7/23/2026. Work you'll do ... You will shape the AI security vision, establish governance and controls, and partner across ...

Innovative Solutions

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Innovative Solutions

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

MSM, Inc.

AI Solutions Co-op (Fall 2026)

Webster, NY · On-site

$17 - $20/hr

AI Solutions Co-op (Fall 2026) MSM is a woman-owned, experiential agency bringing brands to life ... Our employees support, promote, live, and breathe a service culture, where we: • Thrive in a ...

New

Innovative Solutions

IT Support Analyst

Rochester, NY · On-site

$65K - $65K/yr

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Pwc

ERP AI Engineer - Manager

Rochester, NY

$99K - $232K/yr

... support for seamless integration and utilisation of business applications, enabling clients to ... This role offers the chance to shape AI solution architecture while driving innovation and ...

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How much do ai support jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for ai support in Rochester, NY is $25.70, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $27.98 per hour, depending on experience, location, and employer.

How can I make 2000 a week working from home?

An AI Support role can potentially pay $2000 a week if you have specialized skills, such as expertise in AI tools, customer support, or technical troubleshooting, and work as a freelancer or contractor. Achieving this income level often requires high-volume client work, advanced knowledge, and efficient time management. Building a strong online presence and gaining certifications in relevant AI platforms can also help increase earning potential.

What are some common challenges AI Support professionals face on the job?

AI Support professionals often encounter issues such as diagnosing complex technical problems, keeping up with rapidly evolving AI technologies, and translating highly technical solutions into understandable guidance for non-technical users. Working in AI support may involve collaborating closely with software engineers, data scientists, and end-users to ensure systems run smoothly and efficiently. Additionally, professionals in this field must be adept at handling high volumes of support requests and managing competing priorities. These challenges underscore the importance of continuous learning and clear communication in providing exceptional support. Overcoming these hurdles offers valuable experience and can open doors to advanced roles within AI and IT support teams.

What is the easiest AI job to get?

Entry-level AI support roles often require basic understanding of AI concepts, customer service skills, and familiarity with AI tools or platforms. Positions such as AI chat support or technical assistant roles typically have lower entry barriers and may not require advanced degrees, making them accessible for beginners with relevant training or certifications. Gaining foundational knowledge in AI through online courses can improve chances of securing these roles.

What is an AI Support job?

An AI Support job involves assisting users or businesses in utilizing artificial intelligence tools effectively. Responsibilities may include troubleshooting AI-related issues, providing guidance on AI functionalities, and optimizing AI solutions for specific needs. AI Support professionals may work with chatbots, machine learning systems, or automation tools to enhance user experience and operational efficiency. Strong problem-solving skills and technical knowledge are typically required for this role.

What are the key skills and qualifications needed to thrive in the Ai Support position, and why are they important?

To thrive as an AI Support professional, you need a solid understanding of artificial intelligence and machine learning concepts, technical troubleshooting skills, and typically a background in computer science or information technology. Familiarity with tools like ticketing systems (e.g., Zendesk or Jira), cloud platforms, and AI frameworks such as TensorFlow or PyTorch is often required. Excellent problem-solving abilities, patience, and strong communication skills help distinguish top performers in this field. These competencies are critical for effectively assisting users, resolving complex AI-related issues, and ensuring smooth operation of AI-powered systems.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes equity or performance bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and cutting-edge development.

What jobs are needed to support AI?

Supporting AI requires roles such as AI engineers, data scientists, machine learning engineers, data annotators, and AI research scientists. These jobs involve developing algorithms, managing data, training models, and ensuring ethical AI deployment, often requiring skills in programming, statistics, and familiarity with AI frameworks like TensorFlow or PyTorch.
What job categories do people searching Ai Support jobs in Rochester, NY look for? The top searched job categories for Ai Support jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Ai Support jobs? Cities near Rochester, NY with the most Ai Support job openings:
Ai Support jobs near you
Infographic showing various Ai Support job openings in Rochester, NY as of July 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $53,457 per year, or $25.7 per hour.

Sr. AI FDE

MegazoneCloud US

Rochester, NY • On-site

$54.50 - $70.25/hr

Full-time

Posted 17 days ago

Job description

Job Summary:
MegazoneCloud US is a company that helps innovative organizations adopt effective AI solutions. 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 solutions.
Responsibilities:
• Embed with customer teams to translate business problems into production AI architectures spanning models, data, application, and operations — owning the outcome end to end.
• Design, build, and deploy LLM-powered applications — including RAG pipelines, agentic workflows, and orchestration frameworks — integrated with client data stores, APIs, and security controls.
• Stand up the AWS and Google Cloud environments needed for AI services — enabling and configuring Amazon Bedrock, SageMaker, Google Vertex AI, and related resources (IAM roles, networking, model access, and service quotas) self-sufficiently within client guardrails, partnering with dedicated cloud engineers for deeper foundational account and landing-zone setup.
• Drive enterprise adoption of agentic developer tooling (Anthropic Claude Code, OpenAI Codex, AWS Kiro): secure rollout, identity and tenant isolation, SDLC and CI/CD integration, and the developer enablement that turns licenses into measurable productivity.
• Lead adoption and change management — build golden-path templates, enablement assets, and team workflows so AI solutions and tools are genuinely used, not merely delivered.
• Define and instrument success — adoption, business impact, and ROI metrics — and iterate post-launch until targets are met.
• Rapidly prototype proofs-of-concept and iterate them into production-grade systems alongside the customer.
• Establish reusable accelerators, reference 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-routing discipline.
• Mentor engineers during build and deployment; troubleshoot complex issues spanning models, infrastructure, application, and data layers.
• Serve as an escalation point during go-live and hyper-care.
• Support pursuit teams with solution diagrams, scoping, and engagement estimation.
• Present technical vision and adoption strategy to C-suite and enterprise architects.
• Publish blog posts, white papers, and internal knowledge articles.
Qualifications:
Required:
• 8–10+ years engineering production software, with hands-on experience building applications on at least one major cloud platform — AWS or Google Cloud preferred (Azure a plus).
• Demonstrated experience building with LLMs (e.g., Anthropic Claude, OpenAI, Gemini) — prompt engineering, RAG, and agentic systems.
• Hands-on experience with agentic coding tools (e.g., Claude Code, Codex, Kiro), and a practical understanding of how to roll them out and drive adoption across an engineering organization.
• Proficiency in Python and at least one additional language (e.g., TypeScript/JavaScript, Java, Go).
• Proven client-facing communication skills — able to defend architectural and model decisions with executives and engineers alike, and to drive adoption through influence.
• Experience mentoring engineers.
• Strong grasp of DevSecOps, SRE, and FinOps principles.
• Experience architecting data platforms and integrating AI/ML services.
• Able to independently set up and configure cloud AI services and their supporting resources (e.g., Amazon Bedrock, SageMaker, Google Vertex AI; IAM, networking, model access, and quotas) on AWS and/or Google Cloud — self-sufficient for the services the role needs, with foundational account and landing-zone build-out handled in partnership with dedicated cloud engineers.
• Exposure to serverless patterns, event-driven architectures, MCP integration, and vector databases.
• Bachelor’s degree in Computer Science or similar.
• Certifications: AWS Solutions Architect Professional, Google Professional Cloud Architect, or Azure Solutions Architect Expert (one required, multiples preferred); AI/ML specialty certifications a plus.
Preferred:
• Experience leading technology-adoption or developer-enablement programs is a strong plus.
Company:
AWS, DataBricks, Snowflake and GCP Partner of the Year! AI-Native Transformation, Application Modernization, Amazon Connect, Cloud Migrations, Data Analytics and Insights. Founded in , the company is headquartered in Fairport, New York, US, , with a team of 1001-5000 employees. The company is currently Late Stage.

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