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

Sanofi EU

Oncology Account Manager

Lowell, MA · Remote

$125K - $208K/yr

Remote, US About the Job The Oncology Area Business Manager (ABM) is accountable for achieving ... Responsibilities include development and implementation of effective territory planning and ...

Merchants Fleet

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 ...

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All JobsAi Implementation JobsRemote Ai Implementation JobsRemote Ai Implementation Jobs in Merrimack, NH

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 7, 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 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 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 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:
Remote Ai Implementation jobs near you

Director of Information Security Engineering

Southern New Hampshire University

Manchester, NH • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Southern New Hampshire University rating

8.8

Company rating: 8.8 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

46th of 616 rated colleges and universities

Job description

Southern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us - and helped us grow a team that now serves over 180,000 learners worldwide.
Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you.
Make an impact - from near or far
At SNHU, you'll have the option to work remotely in the following states: Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Mississippi, Missouri, Nebraska, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin and Wyoming.
We ask that our remote employees have access to a reliable internet connection and a dedicated, properly equipped workspace that is free of distractions. Employees must reside in, and work from, one of the above approved states.
The opportunity
The Director, Information Security Engineering will report to the Deputy Chief Information Security Officer. You will lead the university's security architecture and engineering strategy, modernizing platforms, practices, and operating models to deliver scalable, resilient, and effective security capabilities. You will improve adoption of modern security architectures, cloud-native approaches, and AI-enabled security capabilities that strengthen the institution's ability to manage evolving threats.
You will bring deep technical credibility to lead senior architects and engineers, a demonstrated track record of leading transformation in complex organizations, and the vision to align security architecture and engineering investments with institutional priorities, modern technology environments, and emerging risk.
You will work 100% remotely from any of our approved states. #LI-Remote
What You'll Do:
  • Drive organizational and cultural change within the team, promoting a growth mindset, accountability, and engineering excellence while building alignment and demonstrating measurable progress.
  • Establish and promote modern security engineering practices, including infrastructure-as-code, security-as-code, zero trust architecture, and DevSecOps integration across the university's technology ecosystem.
  • Be an internal change agent, advocating for security modernization across ITS and with university leadership.
  • Provide authoritative technical direction across security architecture and engineering disciplines, including network and cloud security, endpoint and data protection, application security, and security tooling platforms.
  • Lead the security architecture practice including defining clear service parameters, setting high technical standards, reviewing architecture decisions, and ensuring solutions are forward-looking, practical, and aligned to risk posture.
  • Own the university's enterprise security reference architecture, ensuring it reflects current threat landscapes, regulatory requirements (NIST 800-171, GLBA, FERPA, etc.), and modern delivery models including cloud-native and hybrid environments.
  • Evaluate, select, and oversee implementation of security technologies with disciplined focus on reducing complexity, improving efficacy, and enabling automation.
  • Establish and lead the ISMO's strategy for applying AI and machine learning to advance security engineering capabilities and tooling
  • Partner with governance, risk, privacy, and AI stakeholders to assess and address security risks introduced by AI adoption including shadow AI, generative AI data exposure, and risks introduced by autonomous AI agents operating within enterprise environments.
  • Stay current with the rapidly evolving AI security landscape and serve as a subject matter authority to the D-CISO, senior IT leadership, and AI leadership on both AI-enabled security and AI-security related risk.
  • Identify opportunities to leverage automation and AI to increase the team's capacity and capability without proportional headcount growth.
  • Partner with the Deputy CISO to define a multi-year Security Architecture and Engineering strategy, translating vision into actionable roadmaps, funded initiatives, and measurable outcomes.
  • Develop and present compelling business cases to the Deputy CISO and CISO to secure funding, headcount, and organizational support for strategic initiatives.
  • Build and manage a portfolio of security initiatives, ensuring alignment to institutional risk priorities, compliance obligations, and technology strategy.
  • Collaborate with the AVP of Governance, Risk, Compliance and Privacy to ensure architecture and engineering decisions are grounded in risk and that controls are implemented effectively and measurably.
  • Lead, develop, and retain a team of security architects, engineers, and managers - creating clear career paths, fostering technical excellence, and building a high-performing culture.
  • Design and evolve the team structure, capabilities, and leadership depth required to deliver the future-state vision, aligning talent and resources to strategic priorities while developing both managers and individual contributors.
  • Recruit and onboard talent capable of delivering the future-state vision, including individuals who bring skills the current team does not possess.
  • Set clear expectations for performance, accountability, and continuous improvement across the team.
  • Serve as a mentor and technical escalation point for architects and engineers navigating complex problems.
  • Advise the Deputy CISO, CISO, and ISMO leadership team on security architecture, engineering trends, and emerging risks.
  • Engage effectively with university stakeholders across business units, translating technical concepts into business and mission impact.
  • Represent the security architecture and engineering function in governance forums, project review boards, and vendor negotiations.

What We're Looking For:
  • 10+ years of progressive cybersecurity experience
  • 5+ years in a senior technical leadership role overseeing architecture or engineering functions.
  • High School Diploma or equivalent (i.e. GED)
  • Professional Certification(s): CISSP, ISC2 Certifications, GIAC.
  • Experience as a security engineer or architect across at least two core disciplines (Platform Security, Application Security, AI Security, Cloud/Infrastructure Security, Data Security, DSPM)
  • Experience securing Azure PaaS/IaaS, Microsoft 365, Microsoft Fabric, or similar.
  • Experience as an engineer or architect across multiple security domains: zero trust architecture, application security, cloud security (Azure), identity and access management, network security, endpoint protection, data security, and security automation.
  • Experience with AI and machine learning applications in cybersecurity, including familiarity with AI-enabled security tools, LLM-related risks, and emerging threats associated with enterprise AI adoption.

We believe real innovation comes from inclusion - where different experiences, perspectives and talents are celebrated. So if you're wondering whether SNHU is right for you, take the leap and apply. You might be just the person we're looking for.
Compensation
The annual pay range for this position is $125,298.00 - $200,516.00. Actual offer will be based on skills, qualifications, experience and internal equity, in addition to relevant business considerations. We expect this position to be hired in the following target hiring range $138,456.00 - $187,323.00.
Exceptional benefits (because you're exceptional)
You're the whole package. Your benefits should be, too. As a full-time employee at SNHU, you'll get:
  • High-quality, low-deductible medical insurance
  • Low to no-cost dental and vision plans
  • 5 weeks of paid time off (plus almost a dozen paid holidays)
  • Employer-funded retirement
  • Free tuition program
  • Parental leave
  • Mental health and wellbeing resources

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