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Remote Ai Implementation Jobs in Merrimack, NH (NOW HIRING)

Data Engineer - Hybrid On-Site

Merrimack, NH · On-site +1

$102K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Implement source code management and version control best practices using Jenkins, GitHub and ... We are one of the world's leading AI and digital infrastructure providers, with unmatched ...

DevOps Manager (Azure)

Hooksett, NH · On-site +1

$52.25 - $71.50/hr

Implement secure, automated pipelines for applications, data, and AI/ML workloads * Optimize ... Enjoy flexibility with remote or hybrid work options * Be part of a culture that values innovation ...

DevOps Manager (Azure)

Hooksett, NH · On-site +1

$52.25 - $71.50/hr

Implement secure, automated pipelines for applications, data, and AI/ML workloads * Optimize ... Enjoy flexibility with remote or hybrid work options * Be part of a culture that values innovation ...

Tax Manager, Exempt Organizations

Manchester, NH · On-site +1

$110K - $144K/yr

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... Participate in Crowe's national EO strategy development and implementation Qualifications: Required

Showing results 41-58

Remote Ai Implementation information

See Merrimack, NH salary details

$27

$52

$82

How much do remote ai implementation jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote ai implementation in Merrimack, NH is $52.63, according to ZipRecruiter salary data. Most workers in this role earn between $39.38 and $62.50 per hour, depending on experience, location, and employer.

What is a remote AI implementation specialist?

A Remote AI Implementation Specialist is a professional who helps organizations deploy and integrate artificial intelligence (AI) solutions without being physically present on-site. They work remotely to assess business needs, customize AI models, oversee technical setups, and ensure seamless integration with existing systems. These specialists often collaborate with cross-functional teams, provide training, and troubleshoot issues to ensure AI tools deliver maximum value. Their expertise enables companies to adopt advanced AI technologies efficiently, regardless of geographic location.

What are the key skills and qualifications needed to thrive as a remote AI implementation specialist?

To thrive as a Remote AI Implementation Specialist, you need a strong background in computer science, data analysis, and AI/machine learning concepts, often supported by a relevant degree or certification. Proficiency with programming languages (such as Python or R), cloud platforms (like AWS or Azure), and AI frameworks (such as TensorFlow or PyTorch) is essential. Exceptional problem-solving, communication, and project management skills help you collaborate effectively and translate business needs into technical solutions. These skills ensure successful deployment of AI solutions that align with organizational goals while facilitating smooth remote teamwork and client interactions.

What are some common challenges faced when implementing AI solutions remotely, and how can they be addressed?

One common challenge in remote AI implementation is maintaining clear communication and alignment between distributed teams, especially when dealing with complex data and evolving project requirements. To address this, regular virtual meetings, detailed documentation, and collaborative project management tools are essential. Additionally, ensuring secure and efficient access to data and resources can be tricky, so robust cybersecurity protocols and cloud-based platforms are often used. Open feedback channels and cross-functional collaboration also help in quickly resolving technical issues and adapting solutions to client needs.

What is the difference between Remote Ai Implementation vs Data Scientist?

AspectRemote Ai ImplementationData Scientist
Required CredentialsAI certifications, programming skills, knowledge of ML frameworksStatistics, programming, data analysis, often a degree in related field
Work EnvironmentCollaborative teams, project-based, often client-facingResearch-focused, data analysis, model development
Industry UsageTech, finance, healthcare, retailTech, finance, healthcare, academia
Search & Comparison IntentImplementing AI solutions remotelyAnalyzing data, building models

Remote Ai Implementation involves deploying AI solutions across various industries, focusing on technical deployment and integration. Data Scientists analyze data and develop models, often in research or analytical roles. While both roles require programming and AI knowledge, Remote Ai Implementation emphasizes deployment skills, whereas Data Scientists focus on data analysis and model creation.

What job categories do people searching Remote Ai Implementation jobs in Merrimack, NH look for?

The top searched job categories for Remote Ai Implementation jobs in Merrimack, NH are:

Data Engineer - Hybrid On-Site

NTT DATA Services

Merrimack, NH • On-site, Remote

$102K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

118th of 224 rated it services


Job description

Req ID: 384089 

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 Data Engineer - Hybrid On-Site to join our team in Merrimack, New Hampshire (US-NH), United States (US).

Roles and Responsibilities:
- Develop complex SQL queries, PL/SQL packages, stored procedures, functions, and triggers using Oracle databases.
- Build, enhance, and maintain ETL workflows using Informatica PowerCenter to extract, transform, and load data from multiple source systems.
- Implement source code management and version control best practices using Jenkins, GitHub and GitOps.
- Create automation scripts using Python and Unix shell scripting to streamline data processing, monitoring, and operational activities.
- Manage and schedule batch processing jobs using enterprise scheduling tools such as Control-M and AutoSys.
- Support reporting and analytics initiatives by providing optimized data structures and datasets for OBIEE/OAS and other BI tools.
- Collaborate with business stakeholders, data architects, and application teams to gather requirements and deliver data solutions aligned with business objectives.
- Create and maintain technical documentation, including data flow diagrams, ETL mappings, deployment procedures, and operational support documents.
- Ensure data quality, integrity, consistency, and security throughout the data lifecycle.
- Monitor, troubleshoot, and resolve ETL failures, database issues, and data-related production incidents.
- Participate in code reviews, design discussions, and continuous improvement initiatives to enhance data engineering practices.
- Work closely with cross-functional teams to support data migration, modernization, and cloud transformation projects.
- Ensure compliance with data governance, security standards, and organizational policies.

Basic Qualifications:
5+ years of Expert-level knowledge of writing complex SQL queries using Oracle. 
5+ years of Expert-level knowledge of Oracle PL/SQL (Stored Procedures, Functions, packages, triggers) 
5+ years of working experience in scripting and automation using Unix, Python in a Data Engineering environment.
6+ years of extensive experience with Relational Databases like Oracle including being able to implement performance tuning techniques
5+ years of working experience using GitHUB for Source Code Management (SCM) in a Data Engineering Practice.

Preferred Qualifications:

Strong working experience in ETL tools like Informatica (Power Center)

Strong working knowledge of Data warehousing patterns and Dimensional Modelling techniques using Oracle.
Experience building scalable patterns for data integration in a cloud-based as well as on-prem environments
Working knowledge of Batch scheduling tools like Control-M, Autosys.
Experience with business intelligence and analytics tools such as OBIEE/OAS

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $102,675-$136,900. Actual compensation will depend on a number of factors, including the candidate's 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, @nttdatafed.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

Sourced by ZipRecruiter

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