AI Engineer
Verra Mobility
Role Description
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 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.
Qualifications
- 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.
Benefits
- 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.
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 View email address on remotive.com to request accommodation.
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