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Embedded Ai Jobs in Edison, NJ (NOW HIRING)

Percepta

Embedded Research Scientist

New York, NY · On-site

$180K - $400K/yr

Who We Are Percepta's mission is to transform critical institutions with applied AI. We care that ... About the role As an Embedded Research Scientist at Percepta, you will advance the frontier of AI ...

Indicium AI

Forward Deployed AI Engineer

New York, NY · On-site

$180K - $240K/yr

Sitting embedded directly with client CDOs, VPs of Data, and engineering leadership, you will ... Agentic AI & Orchestration: Proven track record building and deploying production multi-agent ...

Indicium AI

Forward Deployed AI Engineer

New York, NY · On-site

$180K - $240K/yr

Sitting embedded directly with client CDOs, VPs of Data, and engineering leadership, you will ... Agentic AI & Orchestration: Proven track record building and deploying production multi-agent ...

Trustpair

Pre-Sales Lead USA

Manhattan, NY · On-site

$200K - $250K/yr

AI isn't a buzzword here, it's embedded in everything we do. From your first week, you'll use AI tools to accelerate your impact, with dedicated training and peer support to help you master them. Our ...

Trustpair

Pre-Sales Lead USA

Manhattan, NY · Hybrid

$200K - $250K/yr

AI isn't a buzzword here, it's embedded in everything we do. From your first week, you'll use AI tools to accelerate your impact, with dedicated training and peer support to help you master them. Our ...

Percepta

Embedded Product Manager

New York, NY · On-site

$150K - $400K/yr

About the role As an Embedded Product Manager (EPM) at Percepta, you will collaborate with a team ... EPMs shape AI transformation strategies that executives can believe in, teams are excited by, and ...

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Showing results 41-60

All JobsEmbedded Ai JobsEmbedded Ai Jobs in Edison, NJ

Embedded Ai information

See Edison, NJ salary details

$72.5K

$158.8K

$180.1K

How much do embedded ai jobs pay per year?

As of Sep 3, 2026, the average yearly pay for embedded ai in Edison, NJ is $158,791.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,100.00 and $179,100.00 per year, depending on experience, location, and employer.

What is an embedded AI?

An Embedded AI job involves developing and optimizing artificial intelligence models to run efficiently on edge devices with limited computing power, such as IoT devices, autonomous systems, and smart sensors. Professionals in this field work on integrating AI algorithms with embedded systems, ensuring real-time performance, low power consumption, and efficient resource utilization. They collaborate with hardware and software engineers to deploy machine learning models on microcontrollers, FPGAs, or specialized AI accelerators.

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

Success as an Embedded AI professional requires expertise in embedded systems, proficiency in C/C++, Python, and AI algorithms, often backed by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), development tools like MATLAB, and frameworks such as TensorFlow Lite or ONNX is common, and certifications in embedded or machine learning domains are beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These abilities ensure reliable integration of AI models into hardware, fostering innovation and seamless collaboration with multidisciplinary teams.

What are some common challenges faced by embedded AI professionals in their day-to-day work?

Embedded AI professionals often encounter challenges such as optimizing AI algorithms to run efficiently within the memory and processing constraints of embedded hardware. They must also ensure reliable real-time performance and work to address issues with power consumption and system integration. Collaboration with hardware engineers, data scientists, and software developers is essential to align AI models with platform capabilities. Overcoming these challenges requires continuous learning and adaptability, but the role offers significant opportunities to make impactful contributions to emerging technologies.

What are popular job titles related to Embedded Ai jobs in Edison, NJ?

For Embedded Ai jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Embedded Ai jobs in Edison, NJ look for?

The top searched job categories for Embedded Ai jobs in Edison, NJ are:

Embedded Ai jobs near you
Infographic showing various Embedded Ai job openings in Edison, NJ as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $158,791 per year, or $76.3 per hour.

Senior Integration Engineer

Gen II Fund Services LLC

Manhattan, NY • On-site

Full-time

Re-posted 19 days ago

Job description

Senior Integration Engineer
Who is Gen II?Gen II is a leading fund administration provider focused entirely on serving private capital asset managers and investors with a best-in-class combination of people, process, and technology. Gen II has more than $1 trillion in private fund capital assets under administration.
With offices in the US and Europe, we're looking for do-ers, problem-solvers, and entrepreneurs like you who want to make an impact in our industry, grow with us, and create a community where everyone thrives.
Careers mean more at Gen II - more opportunity, more innovation, and more ideas! You'll have the opportunity to grow in ways that are meaningful to you and work alongside some of the best people in their field. You'll also receive training which will advance your skill set, both technically and personally allowing you to achieve your career aspirations with us. Be part of our community that recognizes achievements, promotes from within, and receive meaningful benefits which focus on your physical, mental and financial well-being.
www.gen2fund.com
Job Description:
What's the role?
Gen II is building out its Data & Integration Platform - the central integration backbone connecting 40+ systems across our fund administration technology estate. At the heart of DIP is an AI-assisted integration factory: a structured, repeatable delivery engine for building, testing, and deploying integration adapters at pace.
We are looking for a Senior Integration Engineer to join the DIP team and take direct ownership of integration delivery - combining deep Azure integration expertise with an embedded AI-assisted development practice. This is not a role for someone who is learning how to use AI tooling; we want someone who already works this way and can help us push the factory model further.
You will be expected to come in, get up to speed quickly, and drive forward integration workstreams with minimal oversight. We need a self-starter who can take a requirement, own it end-to-end, and deliver at pace and quality. You will report to and work closely with the Associate Director of Data Engineering.
What you'll be doing
Integration Factory & AI-Assisted Delivery
  • Building and extending reusable system wrappers for applications and systems across the Gen II technology estate.
  • Using AI tooling (LLMs, codegen, Claude) across allintegration development - scaffolding Function Apps, generating Logic Apps workflows, producing APIM policies, building test cases, generating IaC, and automating documentation; AI assistance is the default mode of working, not a selective shortcut.
  • Contributing to the factory's pattern library - standardising error handling, retry logic, logging, and payload structures across all integration components.
  • Driving CI/CD pipeline integration for adapter delivery - automated test execution, linting, and deployment gates.

Azure Integration Engineering
  • Designing and building integration adapters using Azure Function Apps- the primary execution pattern across DIP.
  • Developing Logic Apps Standard workflows, including WDL authoring, scope actions, error handling, and retry patterns - with AI-assisted workflow generation embedded in the build process.
  • Configuring Azure API Management - inbound/outbound policies, managed identity auth, versioning, and throttling - leveraging AI to draft, validate, and document policies.
  • Working with Azure Service Bus for event-driven and async messaging patterns.
  • Contributing to IaCoutputs (Bicep) for per-adapter infrastructure - using AI to scaffold and maintain templates.

Delivery & Collaboration
  • Taking integration workstreams from requirement to production with minimal hand-holding.
  • Writing clean, well-tested code with test suites aligned to DIP QA standards.
  • Working closely with the Associate Director of Data Engineering, DIP Architect, BAs, and QA - raising blockers early and documenting decisions clearly.
  • Collaborating with data engineers to ensure ingress and egress integration outputs land cleanlyin / out of Snowflake.

The ideal background for this role:
  • 5+ yearsof hands-on integration engineering experience - evidenced in role history, not just a skills list.
  • Deep practical experience with Azure Function Apps, Logic Apps Standard, Service Bus, and API Management - you have written the workflows and configured the policies yourself.
  • Strong C#development - clean, production-quality code with proper error handling, logging, and test coverage.
  • Demonstrable experience building or contributing to an integration factory - reusable adapter patterns, scaffolding, CI/CD automation.
  • Active use of AI-assisted development in integration delivery - pattern generation, code scaffolding, IaCtemplating, documentation automation; this should be embedded in how you work, not aspirational.
  • Ability to own workstreams independently and drive delivery without close management.
  • Experience writing system wrapper libraries - encapsulating authentication, API interaction, and error handling for third-party platforms (desirable).
  • Snowflake experience - querying, schema patterns, and structuring integration payloads for downstream consumption (desirable).
  • Exposure to fund administration or broader financial services environments (desirable).
  • Strong communication skills with the ability to collaborate across technical and business teams.
  • Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent qualification from a recognizeduniversity or higher education institution.

The salary range for this position is $125,000 - $160,000, in addition to a discretionary bonus and comprehensive benefits package. Please note that the actual salary offered within that range will depend on the candidate's experience level.
Work Arrangement
All applicants applying to Gen II Fund Services, LLC must be legally authorized to work in the United States. This role follows a flexible hybrid schedule, with the resource expected in the office 1-4 days per week on a need basis.
https://gen2fund.com/candidate-privacy-statement/
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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