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Remote Rag Jobs in Plainfield, NJ (NOW HIRING)

AI Product Manager

Manhattan, NY · On-site +1

$78K - $131K/yr

... RAG pipeline and data validation Lead product design reviews and promote data-driven ... The starting pay range for this remote role is $78,948-$131,700.00. This range reflects the minimum ...

Job Role - AI/ML Engineer Location - Secaucus, NJ (Remote) Job Type: Contract Key Responsibilities ... Agentic RAG) * Strong proficiency in Python for backend development and machine learning. * Solid ...

Associate AI Engineer

Edison, NJ · Remote

$69K - $124K/yr

Description Remote position with the ability to travel to our NJ and NY locations up to 25% of the ... Build and maintain LLM-powered pipelines, including RAG-based architectures. * Integrate AI agents ...

Senior Staff Engineer, AI

New York, NY · On-site +1

$180K - $300K/yr

Open to exceptional Remote candidates Employment Type: Full-Time Hiring Manager: Andrew Rosen, Head ... RAG systems * State-of-the-art model leveraging techniques * Optimize for inference performance ...

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How much do remote rag jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote rag in Plainfield, NJ is $22.06, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $23.41 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Rag, and why are they important?

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What is a Remote RAG (Retrieval-Augmented Generation) specialist?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.

What are some common challenges faced by professionals working in a remote RAG (Responsible AI Governance) role?

Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.
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AI Product Manager

AI Product Manager

NTT DATA Services

Manhattan, NY • On-site, Remote

$78K - $131K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


NTT Data rating

7.3

Company rating: 7.3 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

107th of 203 rated it services


Job description

Req ID: 369449 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a AI Product Manager to join our team in New york, New York (US-NY), United States (US).  This position will be on-site 5 days/week and can sit either out of the NYC office or Dallas office.

About Your Role:

As an AI Product Manager, you will define the strategy, roadmap, and execution for Generative AI agentic solutions. Your mission is to reduce risk and cost in complex production environments by translating operational challenges into innovative AI-driven solutions. You will collaborate with engineering, production support, and application teams to deliver high-impact, reliable, and safe AI products.

Day to Day Job Duties:

Define product vision, strategy, and roadmap for agentic AI systems

Translate user pain points into product requirements, user stories, and success metrics

Lead end-to-end lifecycle for LLM-based products from discovery to iteration

Establish evaluation frameworks for LLMs and prioritize RAG pipelines, prompt engineering, and validation loops

Drive integrations with observability, incident management, and deployment systems

Conduct user research and translate production challenges into roadmap priorities

Own AI safety, governance, reliability, and fallback strategies

Define and monitor KPIs such as cost, latency, and user satisfaction

Own data and knowledge strategy including RAG pipeline and data validation

Lead product design reviews and promote data-driven experimentation

Mentor teams on AI product management and best practices

Basic Qualifications:

Bachelor's degree in Engineering, Computer Science, or equivalent

10-15 years of experience with significant product management exposure

5 + yr Experience leading large-scale AI/ML or cloud-based product initiatives

5 + yrs Strong understanding of LLMs, agentic systems, RAG pipelines, and MLOps

5 + yrs Ability to engage deeply with engineering teams on technical topics

Strong communication skills for technical and non-technical stakeholders

Experience working in fast-paced, cross-functional environments

Strong analytical and data-driven decision-making skills

Proven ability to influence without direct authority

Nice to Have:

Experience working with enterprise-scale production environments

Familiarity with observability and incident management tools

Experience in prompt engineering and LLM evaluation frameworks

Exposure to AI safety, governance, and compliance standards

Prior experience mentoring product managers or leading product communities

Knowledge of cloud platforms such as AWS or Google Cloud in AI contexts

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $78,948-$131,700.00. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.

This position may also be eligible for incentive compensation based on individual and/or company performance. 

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967