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Environmental Artificial Intelligence Jobs (NOW HIRING)

Diverse Lynx

Artificial Intelligence

Richardson, TX

$85K - $107K/yr

... Artificial Intelligence Work Location : Richardson, TX 75081 Duration 6 Detailed Bachelors in ... environments internal or external users. Experience integrating AI services with analytics or ...

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Environmental Artificial Intelligence information

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$51.5K

$100.1K

$148K

How much do environmental artificial intelligence jobs pay per year?

As of Jun 11, 2026, the average yearly pay for environmental artificial intelligence in the United States is $100,142.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $112,000.00 per year, depending on experience, location, and employer.

What is Environmental Artificial Intelligence?

Environmental Artificial Intelligence (Environmental AI) refers to the application of artificial intelligence technologies to address environmental challenges. This field uses machine learning, data analysis, and predictive modeling to monitor ecosystems, optimize resource use, track pollution, and support sustainable practices. Environmental AI can help governments, organizations, and researchers analyze large datasets from satellites, sensors, and other sources to make informed decisions about conservation and climate action. By automating data interpretation and prediction, Environmental AI enables more efficient and effective solutions to pressing environmental problems.

How does an Environmental Artificial Intelligence professional typically collaborate with interdisciplinary teams to develop impactful solutions?

Environmental Artificial Intelligence professionals often work closely with environmental scientists, data engineers, policy experts, and software developers to design and implement AI-driven solutions for sustainability challenges. Collaboration involves regular meetings to align on project goals, exchanging domain-specific knowledge, and integrating diverse data sources. This interdisciplinary teamwork ensures that AI models are both scientifically rigorous and practically applicable, leading to more robust and impactful environmental outcomes. Building strong communication skills and being open to feedback are essential for success in these collaborative settings.

What are the key skills and qualifications needed to thrive as an Environmental Artificial Intelligence Specialist, and why are they important?

To thrive as an Environmental Artificial Intelligence Specialist, you need a strong background in environmental science, data analysis, and machine learning, often supported by a relevant degree in computer science, environmental engineering, or a related field. Proficiency with programming languages like Python or R, experience using AI frameworks (such as TensorFlow or PyTorch), and familiarity with GIS systems are typically required. Strong problem-solving skills, effective communication, and collaboration across multidisciplinary teams are crucial soft skills. These competencies enable specialists to design effective AI solutions for complex environmental challenges, ensuring accurate data-driven insights and impactful sustainability initiatives.

What is the difference between Environmental Artificial Intelligence vs Environmental Data Analyst?

AspectEnvironmental Artificial IntelligenceEnvironmental Data Analyst
Required CredentialsDegree in Computer Science, AI, or Environmental Science; knowledge of AI and machine learningDegree in Environmental Science, Data Analysis, or related field; proficiency in data analysis tools
Work EnvironmentResearch labs, tech companies, environmental agencies using AI modelsEnvironmental consulting firms, government agencies analyzing environmental data
Employer & Industry UsageTech firms, environmental startups, research institutionsGovernment agencies, environmental consultancies, NGOs
Common Search & Comparison IntentUnderstanding AI's role in environmental workAnalyzing environmental data for insights

Environmental Artificial Intelligence focuses on developing AI models to solve environmental problems, requiring skills in AI and machine learning. Environmental Data Analysts interpret environmental data to inform decisions, requiring strong data analysis skills. While both roles work within the environmental sector, AI specialists develop algorithms, whereas data analysts focus on data interpretation.

Infographic showing various Environmental Artificial Intelligence job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $100,142 per year, or $48.1 per hour.
Artificial Intelligence | Artificial Intelligence

Artificial Intelligence | Artificial Intelligence

Diverse Lynx

Groton, CT • On-site

$50.75 - $66/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Diverse Lynx is a company focused on artificial intelligence solutions, and they are seeking a Technology Architect with expertise in AI. The role involves leading an AI team, driving prompt engineering initiatives, and supporting ticket resolution for AI-related issues.
Responsibilities:
• Lead AI AMS team AI Engineers India
• Drive Prompt Engineering for VOX and SAI
• Support L2L3 ticket resolution for AIrelated issues
Qualifications:
Required:
• Pharmacovigilance and drug safety processes
• E2B (Electronic Submission) standards
• Regulatory compliance (FDA, EMA)
• AIML Expertise
• RAG Retrieval
• Augmented Generation architecture and implementation
• Prompt Engineering and LLM optimization
• AI model monitoring, evaluation, and performance tuning
• Vector databases and embedding models
• AIML frameworks
• PyTorch
• TensorFlow
• LangChain
• Azure Foundation Platform
• Azure Foundation and Platform Build
• Provisioning and configuring Azure foundation services
• Managing environments Dev Test Prod subscriptions, resource groups
• Azure governance controls
• > 10 years of experience
• Lead AI AMS team AI Engineers India
• Drive Prompt Engineering for VOX and SAI
• Support L2L3 ticket resolution for AI-related issues
• Stakeholder communication and presentation
• Agile/Scrum methodologies
• Architecture documentation diagrams, decision logs, Design Specification Documents
• Engineering support for deployments and defect triage
Preferred:
• Coordinate with Infrastructure team for Azure resources
• Provide engineering support for deployments
Company:
Diverse Lynx is a WBENC- and NMSDC-certified partner, helping organizations turn diversity goals into measurable impact through staffing and contingent workforce solutions. Founded in 2002, the company is headquartered in Princeton, New Jersey, US, , with a team of 1001-5000 employees. The company is currently Late Stage.
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About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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