US Salary: $95,000 - $165,000<ul></ul><h1>About Us</h1>Bonterra exists to propel every doer of good to their peak impact. We measure that impact against our vision to increase the giving rate as a percentage of GDP from 2% to 3% by 2033. We know that this goal is lofty, but we are confident that the right technology and expertise will strengthen trust in the sector, allowing the social good industry to accelerate growth and reach peak impact. Bonterras differentiated, end-to-end solutions collectively support a unique network of over 20,000 customers, including over 16,000 nonprofit organizations and over 50 percent of Fortune 100 companies. Learn more at bonterratech.com.<h1>About the Role</h1>Bonterra’s Data Science and Analytics team embeds directly within Product teams to build out AI features, owning product analytics, modeling, and production deployment. Our Senior AI/ML Engineers set the standard for how Data Science models are deployed, scaled, and maintained in production. This role combines technical depth with leadership: you’ll design and optimize the infrastructure that powers AI/ML, mentor others on best practices, and ensure that our data science work is production-ready, secure, and reliable. You will be a key partner to Product and Engineering in bringing innovative models into production at scale.This role requires both the scientific mindset of engaging deeply with problems and experimentation and the engineering mindset of building solutions that are reliable, repeatable, and production-ready.Essential Functions<ul><li>Lead the design, build, and maintenance of scalable, reliable, and automated data pipelines for ML model training and inference.</li><li>Drive adoption of MLOps/DataOps best practices: CI/CD, automated testing, monitoring, observability, and rollback strategies.</li><li>Own the management and optimization of our cloud infrastructure (AWS, Bedrock, Snowflake, dbt) to support large-scale ML workflows.</li><li>Ensure data quality, security, and governance throughout the ML lifecycle.</li><li>Translate Data Science prototypes into production-ready services, APIs, and pipelines.</li><li>Collaborate cross-functionally (Data Science, Engineering, Product, Analytics) to deliver ML solutions that are trusted and accessible.</li><li>Proactively monitor production systems, troubleshoot issues, and ensure high uptime and reliability.</li><li>Mentor and guide data scientists on engineering best practices.</li><li>Influence long-term technical direction, including architecture choices for ML platforms.</li></ul><h2>Knowledge, Skills &amp; Abilities</h2><ul><li>Strong programming skills in Python; proficiency in SQL.</li><li>Proven experience with Snowflake and dbt for production data pipelines.</li><li>Expertise with AWS (including Bedrock, and SageMaker) and modern cloud-native ML infrastructure.</li><li>Familiarity with containerization (Docker), APIs, and orchestration tools (dbt Cloud and AWS-native schedulers).</li><li>Deep understanding of CI/CD pipelines, testing frameworks, and production monitoring.</li><li>Strong communication skills, with the ability to influence technical and non-technical stakeholders.</li></ul>Required Minimum Qualifications<ul><li>5+ years of experience in ML Engineering, Data Engineering, or related roles (including 2+ years in a senior or lead capacity).</li><li>Experience deploying and optimizing LLMs or generative AI models in production.</li></ul>Preferred Qualifications<ul><li>Familiarity with governance, compliance, and InfoSec practices in regulated data/AI environments.</li></ul>At Bonterra, we’re building AI-powered tools to solve real human challenges—and we want teammates who share that enthusiasm. We value people who will champion AI and bring diverse perspectives from different industries, backgrounds, and cultures. Together, we create AI that breaks down barriers, empowers communities, and delivers better outcomes.At this time, we are unable to consider candidates who require current or future sponsorship for employment authorization.____________________________________________________________________________________<h1>Our Culture</h1>At Bonterra, we’re innovating with a higher purpose: to increase giving to 3% of US GDP by 2033, creating $573 billion more in global impact every year. At Bonterra, we foster an inclusive, equitable culture where every team member belongs and contributes to meaningful impact. Read more about our values and culture <a target="_blank" href="https://www.bonterratech.com/culture-values-and-deib">here.</a><h1>Compensation &amp; Benefits</h1>We offer a comprehensive benefits package that supports your health, well-being and growth - explore full details <a target="_blank" href="https://www.bonterratech.com/careers">here.</a> Compensation and benefits for this role apply to full-time employees in the United States and may vary based on local standards, laws and norms. Pay is determined by location, skills, experience, and education, and is one part of Bonterra’s total rewards package, which may also include bonuses, incentives, equity, and a comprehensive benefits program. ____________________________________________________________________________________<h1>Equal Opportunity &amp; Accommodations</h1>At Bonterra, we are proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We provide equal employment opportunities without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, veteran status, or any other characteristic protected by law. If you require a reasonable accommodation during the application process, please <a target="_blank" href="https://forms.office.com/Pages/ResponsePage.aspx?id=0FZT8l0YxkOCliCkFvHNj0w0euElBs9Erq16k2CMofxURTZWVzZNUFVPRjhWUzZBQkNKNzczQ1YzNy4u">submit a request.</a>

Bonterra

Senior AI-ML Engineer

Bonterra

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