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Environmental Artificial Intelligence Jobs (NOW HIRING)

Foster a collaborative and inclusive classroom environment that encourages curiosity, innovation ... Demonstrated knowledge or experience with artificial intelligence concepts and tools (e.g., machine ...

Description Position Summary The Assistant Vice President of Artificial Intelligence (AVP of AI) is ... environment. Reporting to the VP of AI, this role acts as a hands-on technical leader and people ...

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 ...

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 ...

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 ...

Artificial Intelligence Architect

Ogden, UT

$61.75 - $81.25/hr

Artificial Intelligence Architect Murphy Door Utah Based | On Site | Full Time Murphy Door is the ... The Environment You will work directly with leadership and cross functional teams. If you build ...

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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 Engineer

Artificial Intelligence Engineer

CACI International, Inc.

Ashburn, VA • On-site

Full-time

Medical, Retirement, PTO

Posted 16 days ago


Job description

Job Title: Artificial Intelligence Engineer
Job Category: Information Technology
Time Type: Full time
Minimum Clearance Required to Start: Secret
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Local
* * *
The Opportunity:
CACI's Agile Solution Factory (ASF) is hiring a Senior Artificial Intelligence (AI) Engineer to drive the development of Large Language Models (LLMs) and agentic AI solutions within Palantir's Army Vantage. In this role, you will design, build, and deploy advanced AI systems that leverage the power of Vantage's data integration, analytics, and operational capabilities. You will also support and integrate other AI capabilities built within the Department of the War (DoW) network, such as ADVANA, ensuring interoperability and maximizing impact across platforms.
ASF programs thrive in a culture of innovation and are constantly seeking individuals who can bring creative ideas to solve complex problems, both technical and procedural, to the team. The ability to be adaptable and to work constructively with a technically diverse and geographically separated team is crucial.
You will work as an integral part of an Agile Scrum team - a highly productive team of technical professionals who thrive on supporting the customer's mission and growth objectives through Agile software development. You will work in close collaboration with team members and other stakeholders within Agile methodologies.
More About the Role
The ideal candidate will have experience building real-world AI applications using LLMs, agents, APIs, and workflows. You will be able to integrate AI models into products and production systems, and have experience with prompt engineering, RAG pipelines, and orchestration. As an Agile Scrum team member, you will work with stakeholders to refine requirements, track your work on an agile board and ensure user needs are met within standards. You will report on progress of assigned work at developer team sessions.
Responsibilities:
  • Architect, train, and fine-tune LLMs for enterprise use cases within the Vantage platform.
  • Develop agentic AI systems that can autonomously reason, plan, and act on complex data workflows.
  • Integrate AI models with Palantir Ontology, datasets, and operational pipelines.
  • Collaborate with data scientists, engineers, and product teams to deliver scalable AI solutions.
  • Support and enhance AI capabilities across the DoW network, including platforms like Vantage and ADVANA.
  • Stay current with advancements in generative AI, LLMs, and agentic architectures, and apply best practices to Vantage and DoW deployments.
  • Develop content and present briefings to senior government leaders.
  • Manage and respond to user tickets.
  • Lead Integrated Product Teams (IPT).

Qualifications:
Required:
  • Must be a U.S. Citizen, with an active secret DoD security clearance (ability to attain interim will be considered).
  • College degree (B.S., M.S.) in Information Assurance, Computer Science, Management Information Systems, or a related discipline. Experience will be considered in lieu of education.
  • Minimum of 7 years related technical experience.
  • Good written and verbal communication skills.
  • Strong collaboration skills and desire to work within a team.
  • Highly responsible, team-oriented individual with very strong work ethic, and a self-starter.
  • Ability to work in a fast paced, constantly changing environment.
  • Solution-based thinker; capable of resolving complex technical challenges.
  • Experience and comfort working on a Scrumban team in an Agile environment.
  • Works well with limited oversight.

Required Technical Skills:
  • Proven experience building and deploying LLMs (e.g., GPT, Llama, PaLM) in production environments.
  • Strong background in agentic AI, autonomous agents, or multi-agent systems.
  • Proficiency with Python and modern ML frameworks (e.g., PyTorch, TensorFlow).
  • Experience working with Palantir Vantage, ADVANA, or similar data analytics platforms is highly desirable.
  • Familiarity with data modeling, ontology design, and pipeline orchestration in Vantage and/or ADVANA.
  • Excellent problem-solving and communication skills.
  • Experience developing or launching an Agentic AI solution for an organization preferable the DoW

These Qualifications Would Be Nice to Have
  • Prior work integrating AI/ML models with enterprise data platforms, especially within government or DoW networks.
  • Experience with prompt engineering, retrieval-augmented generation (RAG), or AI workflow automation.
  • Knowledge of security, compliance, and responsible AI practices in enterprise settings.
  • Experience with DoW (DoD) ADVANA.
  • Experience with Palantir MAVEN.
  • Experience developing in Army 365 (A365).
  • Azure Data/AI stack familiarity (Azure Databricks, Synapse, or Data Factory).
  • Experience developing and maintaining applications using Microsoft Power Platform suite (Model-driven and Canvas App, Power BI, Power Automate, Power Pages/Portals, Portal Management MDA, Power Apps Pipeline) in an Azure environment.
  • Experience developing with Databricks.
  • Experience with designing and implementing data models in Microsoft 365.

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$103,800 - $218,100
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.