AI Engineer

About Verra.

At Verra, we've created a culture of flexibility + autonomy. You'll be able to work with remote teams from diverse countries and industries.

Verra is a global leader helping to tackle the world’s most intractable environmental and social challenges. As a mission-driven non-profit organization, Verra is committed to helping reduce greenhouse gas emissions, improve livelihoods and protect natural resources across the private and public sectors. We support climate action and sustainable development with standards, tools and programs that credibly, transparently and robustly assess environmental and social impacts and enable funding for sustaining and scaling up projects that verifiably deliver these benefits. We work in any arena where we see a need for clear standards, a role for market-based mechanisms, and an opportunity to generate significant environmental and social value.

Verra manages a portfolio of standards, including the:

Verified Carbon Standard (VCS) - the world’s leading carbon crediting program, with more than 2000 registered projects in 80 countries, and accounting for two-thirds of all voluntary carbon market transaction volume.

Sustainable Development Verified Impact Standard (SD VISta) - a flexible framework for assessing and reporting on the sustainable development benefits of project-based activities.

Climate, Community & Biodiversity (CCB) Standards - to identify projects that simultaneously address climate change, support local communities and smallholders, and conserve biodiversity.

Plastic Waste Reduction Program - to enable robust impact assessment of new or scaled-up waste recovery and recycling projects around the globe.

Title: AI Engineer

Location: Remote, US-Based

Reports to: Senior Director, Technology Solutions

The Opportunity.

We are seeking an AI Engineer to help shape how responsible AI can advance climate action and sustainable development at scale. In this role, you will build practical, trusted AI capabilities that improve how complex environmental and social impact work gets done, enhancing productivity, strengthening decision quality, and enabling human-centered innovation across Verra’s global workflows.

The Role.

The AI Engineer will translate Verra’s AI priorities into practical, production-ready capabilities, working across teams to move ideas from concept through implementation, adoption, and ongoing improvement. This work spans the following key areas:

AI-Driven Decision Support

Serve as a technical contributor and thought partner for AI solution design

Collaborate with product managers, software engineers, data teams, business stakeholders, and domain experts to translate operational needs into AI-enabled capabilities

Design and develop AI systems that provide context-aware insights, recommendations, and structured outputs to improve decision quality

Surface relevant guidance, historical patterns, and knowledge-based insights within workflows

Enable human-in-the-loop decisioning, ensuring AI augments expert judgment rather than replaces it

Validation, Risk & Quality Signals

Develop AI capabilities that perform pre-validation and quality checks on data, documents, and submissions

Identify gaps, inconsistencies, and risk indicators early to improve data quality and reduce downstream rework

Build models that generate predictive insights and risk signals to support prioritization and focus

Intelligent Workflows & Automation

Embed AI into workflows to enable knowledge-driven execution and decision support

Leverage enterprise data and prior outcomes to provide relevant context and improve consistency

Apply AI to automate routine tasks and support workflow execution under controlled conditions

Data, Integration & Responsible AI

Integrate AI capabilities into enterprise platforms, workflows, and data ecosystems

Ensure all solutions are built on trusted, governed, and auditable data sources with clear traceability

Design AI systems that are transparent, explainable, and aligned with governance and regulatory standards

Implement safeguards for data integrity, model performance, and appropriate use of AI

Deployment, monitoring, and lifecycle ownership

Evaluate, test, and monitor AI models to ensure performance, reliability, and appropriate use over time.

Maintain feedback loops that support continuous improvement based on user experience, model outputs, and business outcomes.

Apply CI/CD, MLOps, or LLMOps practices to support reliable deployment and lifecycle management.

Our Team.

As part of the Technology Solutions team, you will work with colleagues who are modernizing Verra’s digital infrastructure and building practical tools that help teams deliver high-quality climate and sustainable development outcomes more efficiently.

Verrans come from diverse locations and backgrounds, and include carbon market experts, project developers, consultants, climate negotiators, researchers, and auditors.

We are committed to driving finance at scale to projects and programs that advance climate action and sustainable development through high-quality standards and programs.

What you’ll bring.

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.

4 to 8+ years of experience in software development with at least 2+ years in AI/ML engineering or applied AI roles.

Strong programming skills in Python and experience with machine learning frameworks such as PyTorch or TensorFlow.

Hands-on experience building, deploying, and maintaining production-grade AI systems, services, or APIs.

Experience with large language models (LLM), retrieval-augmented generation (RAG), prompt engineering, semantic search, vector databases, explainable AI outputs, and modern AI architectures.

Experience working with complex, multi-source datasets and designing solutions that support data quality, traceability, and reliable outputs.

Ability to translate business needs and domain expertise into practical technical solutions in collaboration with subject matter experts.

Strong communication skills in English, Verra’s standard business language for written and verbal communication.

Preferred qualifications.

Experience embedding AI capabilities into enterprise workflows or operational platforms.

Familiarity with data governance, auditability, and regulated environments.

Experience working with geospatial, environmental, or external datasets.

Knowledge of workflow automation, process optimization, or decision systems.

Exposure to platforms involving structured review, validation, or certification processes.

Experience working in mission-driven, nonprofit, standards-setting, climate, sustainability, assurance, or regulated environments.

Physical Demands.

The physical demands described here are representative of those that must be met by a teammate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Specific vision abilities required by this job include close vision requirements due to computer work.

Work Environment.

The work environment characteristics described here are representative of those a teammate encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Ability to sit at a computer terminal for an extended period.

Access to reliable Wi-fi with a distraction-free workspace.

Working at Verra.

Verra is a global leader helping to tackle the world’s most intractable environmental and social challenges. As a mission-driven non-profit organization, Verra is committed to helping reduce greenhouse gas emissions, improve livelihoods, and protect natural resources across the private and public sectors.

We’ve created a culture of flexibility + autonomy. You’ll be able to work with remote teams from diverse countries and industries. Wherever possible, we aim to find mutually agreeable solutions for international hiring.

The final compensation offered will be contingent upon role, level, and location. Our Talent team can share the specific salary range for your preferred location during the hiring process.

Salary is one component of Verra’s total compensation package which also includes:

Medical, vision and dental care

Verra contributions to each employee’s retirement plan/pension scheme with employee and employer contributions subject to statutory regulations

Paid leave, comprising 22-30 days vacation, annual sick leave, holidays, and sabbatical after five years of service

Verra is committed to diversity, equity, and inclusion in all our work, and doing this successfully is crucial for us to embody our established values which are Teamwork, Results, Integrity, Balance, and Exploration. We actively celebrate belonging among our team members’ different abilities, sexual orientations, ethnicity, faith, and gender.

How to Apply.

Please send us a cover letter, not to exceed one page, and your resume/CV, not to exceed two pages.

Verra provides equal opportunity for all job applicants and employees and is committed to providing a work environment free of discrimination. As such, we conduct our recruitment and hiring without regard to race, color, religion, gender identity, sex, sexual orientation, national origin, age, marital status, pregnancy, physical or mental disability, genetics, veteran status, or any other characteristic protected by applicable federal, state, and local law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform crucial job functions, and receive other benefits and privileges of employment. Please contact humanresources@verra.org to request accommodation.