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Environmental Artificial Intelligence Jobs (NOW HIRING)

Amrize

Director of Artificial Intelligence

Portland, OR · On-site

$170K - $220K/yr

Our focus is creating longer-lasting, environmentally responsible roofing solutions that can withstand all weather conditions. Job Title: Director of Artificial Intelligence| Req ID: 16010 | HR ...

L3HHCM20

Artificial Intelligence Specialist

Greenville, TX · On-site +1

$109K - $203K/yr

Artificial Intelligence Specialist Job Code: 38585 Job Location: Palm Bay, FL OR Fort Wayne, IN OR ... environments. This is an ideal opportunity for an engineer pursuing AI/ML application engineering ...

Epsilon

Artificial Intelligence Engineer

Irving, TX

$73K - $136K/yr

Familiarity with cloud environments (AWS, Azure, or GCP) and deploying services at scale * Ability ... MS degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (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 Jul 18, 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 July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $100,142 per year, or $48.1 per hour.
Director Artificial Intelligence

Director Artificial Intelligence

Octagon Talent

Fort Lauderdale, FL

Full-time

Re-posted 21 days ago

Job description

Octagon Talent Solutions is seeking a highly skilled and visionary Director of Data Science & Artificial Intelligence in the Fort Lauderdale, FL area to lead our data initiatives and drive innovative solutions using advanced AI technologies. The ideal candidate will bring extensive expertise in AI orchestration and advanced proficiency in Power BI. With a strong history of developing and implementing data-driven strategies, you will play a pivotal role in enhancing business decision-making processes. This combination of technical proficiency and strategic insight ensures measurable value and impactful results, aligning with organizational goals and driving success. Key Responsibilities: - Lead and oversee the data science and AI team, ensuring alignment with organizational goals and driving a culture of excellence in data analytics and AI solutions. - Develop and implement a strategic roadmap for AI initiatives, focusing on orchestration and optimization of AI- powered tools and processes across the organization. - Design and implement advanced analytics models, leveraging machine learning and AI techniques to solve complex business problems and uncover actionable insights. - Collaborate with cross-functional teams to identify data-driven opportunities, providing recommendations based on data insights and predictive analytics. - Utilize Power BI to create dynamic dashboards and visualizations that communicate key performance indicators and drive strategic decision-making. - Mentor and develop team members, fostering a collaborative environment that encourages innovation and professional growth. - Stay abreast of industry trends and advancements in data science and AI, integrating new technologies and methodologies into current practices. - Ensure data integrity and quality throughout all data science projects, enforcing best practices in data management and governance. Requirements: - Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field; Master’s or Ph.D. preferred. - At least 7-10 years of experience in data science, with a minimum of 3 years in a leadership or managerial role. - Proven expertise in AI orchestration methodologies and tools, with a solid understanding of model deployment and monitoring. - Strong experience with Power BI for data visualization and reporting, including knowledge of DAX and Power Query. - Proficient in programming languages such as Python, R, or SQL, with experience in machine learning frameworks (e.g., TensorFlow, PyTorch). - Excellent analytical and problem-solving skills, with a strategic mindset and a passion for turning data into insights. - Exceptional leadership and communication skills, capable of conveying complex concepts to both technical and non-technical stakeholders. - Experience in agile methodologies and project management is a plus. Why Join Us: This is an exciting opportunity to shape the future of our organization through data-driven insights and innovative AI solutions. If you are a forward-thinking leader with a passion for data science and a commitment to excellence, we invite you to apply and become a key driver of our data strategy.