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Ai Coder Jobs in Webster, NY (NOW HIRING)

CTIO AI Engineering Manager

Rochester, NY · On-site

$73K - $244K/yr

... Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and ... Responsibilities - Work with cross-functional teams to incorporate AI into various applications ...

... code of conduct, and independence requirements. The Opportunity As part of the People Tech & AI ... team you will lead the design, build, and operation of scalable, secure, and intelligent platforms ...

AI Solutions Engineering Delivery Lead

Rochester, NY · On-site

$101K - $133K/yr

Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements. The Opportunity : The AI ...

ERP AI Engineer - Manager

Rochester, NY · On-site

$99K - $232K/yr

... Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and ... This role offers the chance to shape AI solution architecture while driving innovation and ...

Cursor Tutor

Rochester, NY · Remote

$18 - $40/hr

Deep knowledge of Cursor AI-powered code editor features including intelligent code completion, natural language code generation, codebase-aware context, multi-file editing, inline chat, terminal ...

Bounce AI is a fintech startup transforming how businesses recover outstanding receivables ... by code. * Unlock account insights by exploring new data sources. For business debtors, we:

Bounce AI is a fintech startup transforming how businesses recover outstanding receivables ... by code. * Unlock account insights by exploring new data sources. For business debtors, we:

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Ai Coder information

See Webster, NY salary details

$14

$25

$39

How much do ai coder jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for ai coder in Webster, NY is $25.24, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $31.78 per hour, depending on experience, location, and employer.

What is an AI coder?

AI Coders are professionals who develop, implement, and maintain artificial intelligence (AI) systems and applications. They use programming languages such as Python, Java, and R to write code that enables machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI Coders often work with machine learning models, neural networks, and large datasets to create intelligent solutions for various industries. Their work can range from building chatbots and recommendation systems to designing complex algorithms for automation.

What types of projects do AI coders typically work on, and how does project collaboration usually happen?

AI Coders are often involved in developing machine learning models, creating data pipelines, and integrating AI solutions into existing products. Collaboration is a key part of the role, with AI Coders working closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. Most teams use agile methodologies, daily stand-ups, and collaborative platforms like GitHub or Jira to coordinate tasks and track progress. This structure ensures that AI Coders receive frequent feedback and can contribute ideas throughout the development cycle.

What are the key skills and qualifications needed to thrive as an AI coder, and why are they important?

To thrive as an AI Coder, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience with version control systems such as Git, is essential. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and explain complex solutions. These skills and qualities are crucial for developing, optimizing, and maintaining reliable AI models that address real-world challenges.

What is the difference between Ai Coder vs Data Scientist?

AspectAi CoderData Scientist
Required CredentialsProgramming skills, knowledge of AI frameworks, certifications in AI/MLStatistics, programming, data analysis certifications
Work EnvironmentSoftware development teams, AI research labsData analysis teams, research environments
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Ai Coders primarily focus on developing AI models and coding AI solutions, whereas Data Scientists analyze data to extract insights and inform business decisions. Ai Coders are more involved in software development, while Data Scientists emphasize statistical analysis and data interpretation.

How do you become an AI coder?

To become an AI coder, you typically need a strong foundation in programming languages such as Python or Java, along with knowledge of machine learning frameworks like TensorFlow or PyTorch. Earning a degree in computer science, data science, or a related field and gaining experience through projects or internships are common steps. Developing skills in algorithms, data structures, and mathematics is also essential for working effectively in AI development.

How much do AI coders make?

AI coders, also known as artificial intelligence programmers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially in tech hubs or large companies.

What job categories do people searching Ai Coder jobs in Webster, NY look for?

The top searched job categories for Ai Coder jobs in Webster, NY are:

What cities near Webster, NY are hiring for Ai Coder jobs?

Cities near Webster, NY with the most Ai Coder job openings:

Infographic showing various Ai Coder job openings in Webster, NY as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $52,503 per year, or $25.2 per hour.

Lead, Info Security Sys Engineering (AI Security)

L3HHCM20

Rochester, NY

$127K - $236K/yr

Full-time

Medical, Retirement, PTO

Posted 8 days ago


Job description

Job Title: Lead, Info Security Sys Engineering (AI Security) 

Job Code: 43475

Job Location: (On Site) Melbourne, FL; Rochester, NY; Salt Lake City, UT; or Greenville, TX

Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off

Job Description:

The AI Lead is responsible for implementing enterprise security strategy, architecture, and governance for AI, and cloud workloads. Reporting within the CISO organization, this role focuses on secure-by-design architecture, enterprise guardrails, risk-informed adoption strategies, and security integration of modern platforms.

This role partners closely with Security Architecture, Enterprise Architecture, Infrastructure and Data/AI teams to establish secure, scalable, and reusable solutions that enable rapid, secure, and compliant adoption of AI capabilities across the enterprise. The role focuses on ensuring best-practice cybersecurity and governance foundations are followed for all AI workloads.

Essential Functions:

AI Security, Governance & Architecture:

  • Implement enterprise AI security and governance frameworks covering model lifecycle, data boundaries, and risk controls.
  • Manage AI security services and policies within platforms like Microsoft Agent 365, Defender, Purview DLP, CoPilot Studio, Microsoft Foundry and AWS Bedrock.
  • Advise leadership on emerging AI technologies, associated risks, and secure platform adoption strategies.
  • Review security and governance best-practices and ensure they are implemented across AI workloads
  • Review of service principles and conditional-access settings to ensure least-privilege to resources and zero-trust access across AI workloads.

Collaboration

  • Work closely with stakeholders inside of IT and within other business functions to enforce the organizational security strategy.
  • Translate complex technical issues into clear, actionable insights for stakeholders.
  • Contribute to security standards, architectural guidance and policy improvements.

Qualifications:

  • Bachelor's Degree and minimum 9 years prior Palantir experience or Graduate Degree and a minimum of 7 years of prior Palantir experience In lieu of degree, minimum 13 years of prior Palantir experience.
  • 4-6 years' experience in cloud / security engineering, including 2+ years hands-on with Microsoft 365 / Azure or AWS.

Preferred Additional Skills:

  • Hands-on experience with O365 and Azure GCCH Government clouds
  • Any Microsoft, Cyber Security or AI related certifications are a plus. Examples include:
    • Microsoft: MS: SC-200 (Security Operations), MS SC-300 (Identity), MS 102 (M365 Admin) or AZ 104 (Azure Admin), SC 100 (Microsoft Cyber Security Architect), AI-102 (Microsoft Azure AI Engineer)
    • CISSP, or others from ISC2
    • OSCP, other Offensive Security certifications
    • GIAC / SANs certifications
  • Experience with governance frameworks such as NIST 800-53, 800-171, CMMC, and ISO 27001.

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $127,500-$236,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $110,500-$205,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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