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Generative Ai Physics Jobs (NOW HIRING)

Waters Corporation

AI Architect

Milford, MA · On-site

This includes generative AI, machine learning, automation, and future agent-based capabilities ... physics, and biology. We collaborate with customers around the world to advance the release of ...

Waters Corporation

AI Architect

Milford, MA · On-site

$69 - $91/hr

This includes generative AI, machine learning, automation, and future agent-based capabilities ... physics, and biology. We collaborate with customers around the world to advance the release of ...

Waters Corporation

AI Architect

Milford, MA

This includes generative AI, machine learning, automation, and future agent-based capabilities ... physics, and biology. We collaborate with customers around the world to advance the release of ...

Photon

GenAI Solution Architect - VA

Norfolk, VA · On-site

$61 - $80.25/hr

We are seeking an AI Engineer to work on a Generative AI initiative to join our team. The ideal ... Bachelor's or master's degree in computer science, Data Science, Statistics, Math, Physics, or ...

Covalent Corp.

Senior Software & AI Engineer

Sunnyvale, CA · On-site

$110K - $190K/yr

Design and deploy deep learning and generative AI systems in production * Build LLM-powered ... A background in Physics, Materials Science, or Engineering alongside their CS skills. * A portfolio ...

EVOZYNE INC

Applied AI Research Fellow

Chicago, IL · On-site

Our platform, EvoGen, is both generative and predictive. Rather than focusing on structure alone ... Exposure to interdisciplinary work (e.g., biology, chemistry, physics, or other scientific domains ...

Photon

GenAI Solution Architect - VA

Norfolk, VA · On-site

$61 - $80.25/hr

We are seeking an AI Engineer to work on a Generative AI initiative to join our team. The ideal ... Bachelor's or master's degree in computer science, Data Science, Statistics, Math, Physics, or ...

Peraton

AI Engineering Support SME

Washington, DC · On-site

$135K - $216K/yr

This effort will support strategic AI initiatives focused on automation, analytics, generative AI ... Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Physics, Artificial ...

Peraton

AI Engineering Support SME

Washington, DC

This effort will support strategic AI initiatives focused on automation, analytics, generative AI ... Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Physics, Artificial ...

Peraton

AI Engineering Support SME

Washington, DC · On-site

This effort will support strategic AI initiatives focused on automation, analytics, generative AI ... Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Physics, Artificial ...

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Generative Ai Physics information

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$11K

$61.2K

$94.5K

How much do generative ai physics jobs pay per year?

As of Sep 2, 2026, the average yearly pay for generative ai physics in the United States is $61,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $64,500.00 per year, depending on experience, location, and employer.

What is a generative AI physicist?

A Generative AI Physicist is a professional who applies generative artificial intelligence techniques to solve complex problems in physics. They use models such as neural networks and deep learning algorithms to simulate, predict, or generate new physical phenomena and data. This role often involves interdisciplinary work combining expertise in physics, machine learning, and computer science. Generative AI Physicists contribute to advancements in scientific research, material discovery, and the automation of experimental design.

How does a generative AI physics specialist typically collaborate with other departments in interdisciplinary research projects?

As a Generative AI Physics specialist, you will often work closely with data scientists, software engineers, and domain experts from various fields such as materials science, engineering, or biomedical research. Effective collaboration involves translating complex physical models into machine learning frameworks, sharing insights to refine algorithms, and integrating AI-generated results into broader research initiatives. Regular interdisciplinary meetings and shared project management tools are commonly used to ensure alignment and foster innovation. This collaborative environment not only broadens your technical skills but also enhances your ability to communicate complex concepts to diverse teams.

What are the key skills and qualifications needed to thrive as a generative AI physics specialist, and why are they important?

To thrive as a Generative AI Physics Specialist, you need a solid background in physics, mathematics, and computer science, often with an advanced degree such as a Master's or Ph.D. in a related field. Expertise in machine learning frameworks (like TensorFlow or PyTorch), programming languages (such as Python), and familiarity with computational physics tools are typically required. Strong analytical thinking, creativity, and clear communication skills help in developing innovative AI models and collaborating with interdisciplinary teams. These skills enable the successful integration of AI techniques with physical systems, driving progress in research and practical applications.

What is the difference between Generative Ai Physics vs Data Scientist?

AspectGenerative Ai PhysicsData Scientist
Required CredentialsPhysics degree, AI/ML knowledgeStatistics, Computer Science, Data Analysis
Work EnvironmentResearch labs, tech companies, academiaBusiness, tech firms, consulting
Industry UsagePhysics simulations, AI model developmentData analysis, predictive modeling
Common Search IntentUnderstanding AI in physics researchAnalyzing data trends, insights

Generative Ai Physics focuses on applying AI techniques to physics problems, often involving simulations and model development. Data Scientists analyze data to extract insights across various industries. While both roles require analytical skills, Generative Ai Physics emphasizes physics knowledge combined with AI expertise, whereas Data Scientists focus on data analysis and interpretation.

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Cities with the most Generative Ai Physics job openings:

What states have the most Generative Ai Physics jobs?

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What job categories do people searching Generative Ai Physics jobs look for?

The top searched job categories for Generative Ai Physics jobs are:

Generative Ai Physics jobs near you
Infographic showing various Generative Ai Physics job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $61,160 per year, or $29.4 per hour.

AI Architect

Waters Corporation

Milford, MA • On-site

Other

Posted 14 days ago

Job description

Overview
In this role, you will work in a fast-paced, agile environment alongside a diverse team with a passion for technology, transformation, and delivering results.
As part of the Waters AI Center of Excellence (CoE), you will help define and govern our enterprise AI architecture, creating the standards, patterns, and guardrails needed to scale AI solutions across the business. This includes generative AI, machine learning, automation, and future agent-based capabilities.
This is a senior, hands-on role. You'll work closely with teams across IT, Data, Security, and the business to shape AI strategy, review solution designs, establish best practices, and ensure AI solutions are secure, scalable, and aligned to business objectives.
We understand that very few people will have deep expertise across every area of enterprise AI. We're looking for someone with a strong architecture background and proven experience delivering AI solutions in a business environment. For the right person, we're prepared to invest in development and provide opportunities to build expertise in newer areas of AI as our capabilities continue to grow.
Here at Waters, we look for people who enjoy solving complex problems, can work effectively across teams, and stay focused on delivering outcomes.
Responsibilities
  • Define enterprise AI architecture across machine learning, generative AI, automation, and emerging agent-based capabilities
  • Develop architectural standards, patterns, and reference architectures for AI solutions.
  • Work alongside engineering, data, security, and business teams to design scalable and secure AI solutions
  • Establish and evolve AI governance processes, ensuring alignment with enterprise standards and long-term technology strategy
  • Review AI solution designs and provide architectural guidance throughout delivery.
  • Establish engineering standards covering code quality, testing, automation, deployment, and operational readiness
  • Lead proof-of-concepts and technical evaluations of new AI technologies and platforms
  • Support the development of operational approaches for deploying, monitoring, and maintaining AI solutions in production
  • Partner with security and governance teams to ensure AI solutions meet regulatory, compliance, and data protection requirements
  • Promote responsible and secure use of AI across the organization
  • Provide technical leadership and mentoring within the AI CoE and wider technology community
  • Stay informed on AI developments and assess their relevance to Waters

Qualifications
  • Bachelor's or Master's degree in a relevant field or equivalent practical experience.
  • 10 years + experience in enterprise, solution, cloud, data, or application architecture roles
  • Proven experience designing, implementing, or supporting AI, machine learning, or generative AI solutions within an enterprise environment
  • Strong understanding of modern AI architecture concepts such as RAG, semantic search, vector databases, prompt design, and AI integration patterns
  • Experience with at least one major cloud platform (AWS, Azure, or GCP)
  • Understanding of the lifecycle and operational management of AI solutions in production environments
  • Hands-on experience with Python and common AI/ML tooling
  • Strong understanding of APIs, distributed systems, microservices, and modern software architecture principles
  • Experience working with data platforms, data pipelines, and enterprise data architectures
  • Exposure to agentic AI, AI orchestration frameworks, intelligent automation, or related technologies would be beneficial
  • Understanding of AI governance, security, risk, and Responsible AI principles.
  • Strong communication skills and the ability to engage effectively with both technical and non-technical stakeholders
  • Experience influencing technical direction, facilitating workshops, and mentoring others
Interested, but don't tick every box?
Please don't rule yourself out. We're looking for strong architects with practical AI experience who can help us build and scale AI capabilities across Waters. While experience in AI is important, we don't expect candidates to have worked with every technology, framework, or architectural approach listed above. If you've successfully delivered AI, machine learning, data science, or generative AI solutions and have a solid architecture background, we'd encourage you to apply. We'll support the successful candidate with ongoing development as our AI capabilities continue to evolve
Company Description
Waters Corporation (NYSE:WAT) is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.
Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.
Key Words
Enterprise Architect; Solution Architect; Agentic AI; GenAI; RAG; Architecture Governance; Data Architecture; AI Platform

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