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Intelligent Systems Engineering Jobs in New York

Amazon

Lead Software Development Engineer

Newark, NJ

ABOUT THE TEAM Our Kaleidoscope Engineering team is at the forefront of transformative technological innovation, dedicated to solving complex challenges through intelligent system design. We are a ...

Amazon

Lead Software Development Engineer

Newark, NJ

ABOUT THE TEAM Our Kaleidoscope Engineering team is at the forefront of transformative technological innovation, dedicated to solving complex challenges through intelligent system design. We are a ...

Amazon

Design Technologist II, Creative X

New York, NY · On-site

You'll sit at the intersection of design, engineering, and creative systems, building infrastructure, tools, and intelligent systems that accelerate how creative teams work, collaborate, and ship.

New

Distyl AI

Applied AI Researcher, AI Systems

New York, NY · On-site

$150K - $250K/yr

We develop intelligent systems using models rather than training or fine-tuning them. Ideal ... Strong Programming and Data Analysis Skills: While you might not consider yourself a software ...

Etsy

Director Engineering, Internal IT

Brooklyn, NY · On-site +1

$274K - $356K/yr

The Director of Engineering, Internal IT is a senior engineering leader responsible for shaping and ... and building intelligent systems that scale with Etsy's business. Where others see a support ...

Amazon

Design Technologist II, Creative X

New York, NY · On-site

You'll sit at the intersection of design, engineering, and creative systems, building infrastructure, tools, and intelligent systems that accelerate how creative teams work, collaborate, and ship.

New

Etsy

Director Engineering, Internal IT

New York, NY · On-site

$274K - $356K/yr

The Director of Engineering, Internal IT is a senior engineering leader responsible for shaping and ... and building intelligent systems that scale with Etsy's business. Where others see a support ...

Athelas

Senior Software Engineer, Air AI

Manhattan, NY · On-site

$134K - $177K/yr

The Senior Software Engineer in the Air AI team will build intelligent systems that enhance clinical workflows, ensuring that clinicians can focus more on patient care rather than administrative ...

Mighty

Senior AI Software Engineer

Manhattan, NY · On-site

$134K - $177K/yr

The Senior AI Software Engineer will develop intelligent systems that empower users in their personal injury claims by providing accurate valuations and facilitating negotiations with insurers.

Harness

GTM Systems Manager

New York, NY · On-site

$145K - $165K/yr

... intelligent automation across the software delivery lifecycle with governance and policy-driven ... DevOps efficiency. With a global team across 26 offices and 27 countries, Harness is shaping the ...

Ambrook

Software Engineer, AI

New York, NY · On-site +1

$115K - $280K/yr

You'll shape how we use LLMs and intelligent systems to make messy, high-stakes financial workflows ... Best practices around ML system design, evaluation, prompt engineering, and scalable AI ...

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Showing results 21-40

All JobsIntelligent Systems Engineering JobsIntelligent Systems Engineering Jobs in New York

Intelligent Systems Engineering information

See New York salary details

$66.2K

$155.4K

$214.4K

How much do intelligent systems engineering jobs pay per year?

As of Aug 8, 2026, the average yearly pay for intelligent systems engineering in New York is $155,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,700.00 and $189,300.00 per year, depending on experience, location, and employer.

What do intelligent systems engineers do?

Intelligent systems engineers design, develop, and implement software and hardware systems that incorporate artificial intelligence, machine learning, and automation technologies. They analyze complex problems, create algorithms, and work with tools like robotics, data analysis, and programming languages such as Python or C++. Their work often involves testing, optimization, and ensuring systems operate reliably in real-world environments.

What is intelligent systems engineering?

An Intelligent Systems Engineering job involves designing, developing, and optimizing smart systems that integrate AI, machine learning, and advanced computing. Professionals in this field work on applications such as autonomous systems, robotics, cybersecurity, and biomedical devices. They use data-driven approaches and computational models to enhance decision-making and automation. These roles exist in industries like healthcare, automotive, aerospace, and IoT.

How much do intelligent systems engineers make?

Intelligent systems engineers typically earn a median annual salary of around $100,000 to $130,000, depending on experience, education, and location. Professionals with advanced skills in machine learning, robotics, and programming languages like Python or C++ tend to have higher earning potential.

What are the key skills and qualifications needed to thrive in intelligent systems engineering, and why are they important?

Successful careers in Intelligent Systems Engineering require a strong background in computer science, control systems, mathematics, and often an advanced degree in engineering or a related field. Proficiency with programming languages (such as Python, C++, or MATLAB), experience with machine learning frameworks, and familiarity with embedded systems and sensor integration are typically expected. Strong analytical thinking, problem-solving skills, and effective collaboration are essential soft skills in this position. These competencies enable professionals to design, develop, and optimize complex intelligent systems that perform reliably in real-world applications.

What are the main challenges faced when working as an intelligent systems engineer?

Intelligent Systems Engineers often encounter challenges such as integrating diverse hardware and software components, ensuring system reliability, and optimizing performance under real-world conditions. They must stay current with rapidly evolving technologies and continuously adapt their solutions to meet new requirements or constraints. Collaboration across multidisciplinary teams, including software developers, hardware engineers, and data scientists, is common and essential for project success. Tackling these challenges develops a well-rounded skill set and provides significant opportunities for professional growth and innovation.

What are the most commonly searched types of Intelligent Systems Engineering jobs in New York? The most popular types of Intelligent Systems Engineering jobs in New York are:
What are popular job titles related to Intelligent Systems Engineering jobs in New York? For Intelligent Systems Engineering jobs in New York, the most frequently searched job titles are:
What job categories do people searching Intelligent Systems Engineering jobs in New York look for? The top searched job categories for Intelligent Systems Engineering jobs in New York are:
Intelligent Systems Engineering jobs near you
Infographic showing various Intelligent Systems Engineering job openings in New York as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $155,429 per year, or $74.7 per hour.

Senior AI Engineer (LLM & Agent Systems) - Platform

Calliere

Manhattan, NY • On-site

Full-time

Re-posted 4 days ago

Job description

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\n Role Summary<\/b>
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\n This role focuses on designing and scaling reusable AI\-driven workflows, particularly those powered by large language models and autonomous agents. You will build foundational components and abstractions that enable multiple internal teams to rapidly develop and deploy intelligent systems. The position emphasizes system reliability, evaluation rigor, and thoughtful tradeoffs in model and tooling selection.
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Core Ownership Areas<\/b>
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    \n

  • Develop reusable agent\-based workflows to accelerate delivery across multiple projects.
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  • Define and maintain evaluation standards to ensure consistent model performance over time.
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  • Improve system reliability across key dimensions such as accuracy, latency, and robustness.
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  • Build shared APIs and platform components used broadly across engineering teams.
    <\/p><\/li>\n <\/ul>

    Key Responsibilities<\/b>
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      \n

    • Design and implement orchestration patterns for LLM\-powered agents.
      <\/p><\/li>\n

    • Evaluate and select models, tools, and providers based on performance, cost, and reliability.
      <\/p><\/li>\n

    • Build testing frameworks, evaluation pipelines, and monitoring systems for AI outputs.
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    • Implement safeguards, fallback mechanisms, and cost optimization strategies.
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    • Collaborate with platform and backend engineers to integrate AI capabilities into scalable services.
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    • Identify repeatable patterns across projects and convert them into reusable platform features.
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      \n
      \n <\/div><\/span>
      Requirements<\/h3>

      Required Experience<\/b>
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        \n

      • Strong background in building production\-grade distributed systems or platform infrastructure.
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      • Practical experience developing and deploying LLM\-based or agent\-driven systems.
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      • Demonstrated ability to design for reliability, observability, and cost efficiency.
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      • High standards for code quality and system design.
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        Nice\-to\-Have Experience<\/b>
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          \n

        • Familiarity with retrieval systems, embeddings, or context management pipelines.
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        • Experience working within regulated or security\-conscious environments.
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          Approach to Work<\/b>
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          • Prioritizes measurable quality through structured evaluation and testing.
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          • Designs systems for reuse, scalability, and clean abstraction layers.
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          • Focuses on building solutions that generalize beyond a single use case or team.
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            \n
            \n <\/div><\/span>
            Benefits<\/h3>\n
            \n \- Hybrid onsite.
            \n <\/div>\n
            \n \- Incredible perks and comp package. \n <\/div><\/span>
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