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Remote Ai Computer Science Jobs in Raleigh, NC (NOW HIRING)

IQVIA

AI Solutions Architect (Remote)

Durham, NC · On-site +1

$61 - $80.25/hr

Master's degree or PhD in Computer Science, Bioinformatics, Computational Biology, Data Science, Engineering, ora relatedfield. * Significant experiencedelivering AI, data, analytics, or digital ...

New

IQVIA

AI Solutions Architect (Remote)

Durham, NC · On-site +1

$61 - $80.25/hr

Master's degree or PhD in Computer Science, Bioinformatics, Computational Biology, Data Science, Engineering, ora relatedfield. * Significant experiencedelivering AI, data, analytics, or digital ...

New

Berriehill Research

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

Bachelor's degree in computer science, Data Engineering, Information Systems, Engineering ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Thermo Fisher Scientific

Sr Staff AI Architect

Raleigh, NC · On-site +1

$143K - $185K/yr

... Scientific, Unity Lab Services, Patheon and PPD. This is a remote role open in the US only. What ... master's degree in computer science, Engineering, Data Science, or equivalent experience. Our ...

Archgroup

AVP, AI Engineering (Remote - EST)

Raleigh, NC · Remote

$185K - $235K/yr

College degree in Computer Science, Software Engineering, Data Analytics, or equivalent practical ... REMOTE For individuals assigned or hired to work in the location(s) indicated below, the base ...

Archgroup

AVP, AI Engineering (Remote - EST)

Raleigh, NC · Remote

$185K - $235K/yr

College degree in Computer Science, Software Engineering, Data Analytics, or equivalent practical ... REMOTE For individuals assigned or hired to work in the location(s) indicated below, the base ...

micro1 AI

Engineering AI Evaluator (PhD)

Raleigh, NC · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Review and interpret scientific literature to provide contextually accurate and current insights

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field. * 5 + years of people management experience. * 10 + years of experience in AI and machine learning. * Deep ...

RELX

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field. * 5 + years of people management experience. * 10 + years of experience in AI and machine learning. * Deep ...

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How much do remote ai computer science jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote ai computer science in Raleigh, NC is $99,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $111,800.00 per year, depending on experience, location, and employer.

What is a remote AI computer science job?

A remote AI computer science job involves working from a location outside a traditional office—often from home—on tasks related to artificial intelligence and computer science. Professionals in this role typically develop, test, and deploy AI models, analyze large datasets, and write code to solve complex problems. They may collaborate with teams using online tools and are expected to stay updated on the latest AI technologies and programming languages. This job can be found in industries ranging from tech startups to large corporations, and offers flexibility in work schedule and location.

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

To thrive as a Remote AI Computer Scientist, you need a strong background in computer science, programming (Python, Java, or C++), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Certified Machine Learning are common technical requirements. Excellent problem-solving skills, self-motivation, and effective remote communication are soft skills that set top performers apart. These abilities are critical for developing innovative AI solutions, collaborating with distributed teams, and adapting to rapidly changing technology landscapes.

What are the typical collaboration methods for remote AI Computer Science professionals working on team projects?

Remote AI Computer Science professionals often collaborate using a combination of cloud-based code repositories, video conferencing, and project management tools. Teams typically hold regular virtual stand-ups, code review sessions, and brainstorming meetings to ensure alignment and knowledge sharing. Effective communication and documentation are crucial, as team members may be in different time zones. Additionally, pair programming and collaborative debugging sessions are common practices to maintain code quality and foster team cohesion.
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Remote Ai Computer Science jobs near you
AI Solutions Architect (Remote)

AI Solutions Architect (Remote)

IQVIA

Durham, NC • On-site, Remote

$61 - $80.25/hr

Full-time

Posted yesterday

New

IQVIA rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

53rd of 208 rated it services

Job description

We are seeking an experienced AI Solutions Architect to lead the design and delivery of next-generation AI solutions for pharmaceutical and life sciences organizations. This individual will help clients transform scientific, clinical, and operational data into explainable, trustworthy, and scalable AI solutions that accelerate research and development, improve decision-making, and drive innovation across the drug development lifecycle.

Role Overview

As an AI Solutions Architect, you will combine yourexpertisein foundation models, knowledge graphs, agentic AI, and data architecture with strong consulting and client leadership skills. You will work closely with scientific, business, and technical stakeholders to design and deliver solutions thatleveragenext-generation AI capabilities and deliver measurable business value.

Key Responsibilities

AI Solution Architecture

  • Lead the design and delivery of AI solutions across pharmaceutical research and development, translating business and scientific challenges into scalable solutions with measurable outcomes

  • Recommendappropriate architecturesthat align businessobjectives, data assets, and technology capabilities

Foundation Models and Agentic AI

  • Design and implement solutions using foundation models, large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI frameworks

  • Define approaches for model selection, orchestration, grounding, prompt design, evaluation, validation, and production deployment

Knowledge Graphs and Semantic Systems

  • Architect biomedical knowledgegraphs, ontologies, and semantic data models that support scientific discovery, reasoning, and intelligent information retrieval

  • Integrate knowledge graphs with foundation models to improve contextual understanding, explainability, and AI performance

Data Strategy and Engineering

  • Lead data integration, harmonization, and governance efforts across scientific, clinical, and operational data sources

  • Establish data foundations that support scalable, trustworthy, and AI-ready solutions

Client Leadership and Consulting

  • Serve as a trusted advisor to business, scientific, and technical stakeholders, leadingworkshopsand solution design sessions

  • Communicate complex technical concepts to both executive and technical audiences, guiding clients from strategy through implementation

Innovation and Capabilities Development

  • Stay current on advances in AI, foundation models, and knowledge graphs, bringing emerging capabilities into solutions

  • Contribute to reusable methodologies, accelerators, and leading practices that scale AI delivery across engagements

What We're Looking For

  • Master's degree or PhD in Computer Science, Bioinformatics, Computational Biology, Data Science, Engineering, ora relatedfield.

  • Significant experiencedelivering AI, data, analytics, or digital transformation solutions in life sciences or pharmaceutical organizations

  • Demonstratedexpertisein designing and deploying solutionsleveragingfoundation models, retrieval-augmented generation (RAG), agentic AI architectures, knowledge graphs, semantic technologies, vector databases, semantic search, machine learning, and predictive analytics

  • Experience designing AI solution architectures supported by strong data architecture principles.

  • Strong programming and solution development experience, particularly in Python and modern AI frameworks.

  • Experience with cloud platforms such as Azure, AWS, or Google Cloud.

  • Experience designing and deploying AI solutions in regulated environments.

  • Ability to translatecomplex business and scientific questions into structured AI solution designs and implementation plans.

  • Understanding of pharmaceutical R&D processes, including drug discovery, translational science, clinical development, safety, and regulatory approval.

  • Excellent communication, presentation, and consulting skills.

  • Ability to engage effectively with both executive stakeholdersand highlytechnical teams.

Preferred Experience

  • Experience designing and implementing biomedical knowledge graph solutions, including the integration of knowledge graphs with foundation models and agentic AI to support intelligent applications and scientific discovery.

  • Familiarity with biomedical ontologies, standards, and scientific data management practices, including FAIR data principles and semantic interoperability.

  • ExperienceestablishingAI evaluation, validation, and governance frameworks, including benchmarking, human-in-the-loop review, and other quality assessment methodologies.

  • Understanding ofthe end-to-end pharmaceutical value chain, including R&D, regulatory affairs, market access, medical affairs, commercial operations, and post-marketing functions.

  • Experience leading client engagements and mentoring multidisciplinary technical teams.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more athttps://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $125,800.00 - $350,300.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

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About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

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