AI/ML Platform Engineer — United States

About The Company

Curinos empowers financial institutions to put customers at the center of every decision. Our AI-first platform transforms proprietary data, advanced analytics, and deep financial services expertise into timely recommendations delivered right where teams work. The result is confident decisions, stronger customer relationships, and lasting, profitable growth. Operating under a hybrid modality, Curinos has office locations in New York, Chicago, Boston, Toronto, and London. This role is open to hybrid or remote candidates based in the United States.

About The Role

We are seeking a Staff ML/AI Platform Engineer to help build and operate Curinos' Databricks-native AI platform. This role sits at the intersection of machine learning engineering, platform engineering, and site reliability, with a focus on enabling reliable deployment and operation of AI and ML systems at scale. This is a high-impact position that will unlock the next phase of Curinos scalable growth.

The successful candidate will be responsible for designing and implementing infrastructure, tooling, automation, observability, and governance capabilities that power production machine learning models, large language model (LLM) applications, and agentic AI workflows. This role involves establishing technical architecture and engineering standards across teams and collaborating with applied scientists to move solutions from experimentation to production quickly, safely, and repeatably. The philosophy is to "build it once and scale it many times."

As a Databricks-first organization, Curinos extensively uses Databricks Workflows, Asset Bundles, Unity Catalog, MLflow, Delta Live Tables, and related ecosystem tools. The Staff ML/AI Platform Engineer will work closely with data scientists, data engineers, software engineers, and product teams to embed AI and ML capabilities into our products and automate operational processes to achieve reliable, scalable efficiencies across data and algorithmic workflows company-wide.

Given Curinos operates in a regulated FinTech environment, there is a strong emphasis on governance, reproducibility, observability, and operational excellence. This role is critical in ensuring our AI platform and ML solutions meet these standards while remaining fast-moving and developer-friendly.

Qualifications

• Strong experience building and operating ML, AI, data, or cloud platforms in production environments

• Deep hands-on expertise with Databricks, including Workflows, Delta Lake, Delta Live Tables, Unity Catalog, Asset Bundles, MLflow, Python, PySpark, and Spark SQL

• Experience with modern MLOps practices including CI/CD, automated testing, model deployment, feature management, observability, and governance

• Experience working with LLMs, agentic AI systems, evaluation frameworks, AI safety controls, and model monitoring solutions

• Experience with model serving architectures, APIs, MCP servers, and scalable inference systems

• Understanding of production support, incident management, and operational excellence practices

• Strong communication skills and ability to work effectively across multidisciplinary teams

• Demonstrated ability to guide technical architecture, establish engineering best practices, and mentor engineers across teams

Responsibilities

• Design, build, and maintain platform capabilities for deploying, monitoring, and operating ML models, LLM applications, and agentic AI workflows, providing technical direction on architecture and scalability

• Develop automated CI/CD pipelines and infrastructure-as-code patterns for AI and machine learning workloads

• Create platform tooling that standardizes deployment practices of AI and ML capabilities across teams, establishing reusable engineering patterns and best practices

• Build observability solutions that track model health, service reliability, cost, performance, AI safety metrics, and business outcomes

• Implement scalable evaluation and monitoring frameworks for LLMs, agentic workflows, and generative AI applications

• Partner with scientists and engineers to productionize new ML models and AI capabilities

• Support governance, auditability, reproducibility, and model lifecycle management requirements

• Advocate and demonstrate operational excellence practices including platform automation, reliability improvements, incident response, and root cause analysis

• Design, revise, and document architecture patterns, operational procedures, and engineering best practices guiding technical decisions and implementation approaches

• Provide technical guidance and mentorship to other engineers

Benefits

• Competitive salary range of $160,000 to $180,000 USD plus bonus

• Financial, health, and lifestyle benefits with a range of options to choose from

• Flexible working options including home working, flexible hours, and part-time options depending on role requirements

• Unlimited paid time off policy, floating holidays, volunteering days, and a day off for your birthday

• Learning and development tools to support career growth

• Opportunity to work with industry-leading subject matter experts and specialist products

• Regular social events and networking opportunities

• Collaborative and supportive culture with an active diversity, equity, and inclusion (DE&I) program

• Employee Assistance Program offering expert third-party advice on well-being, relationships, legal and financial matters, as well as access to counseling services

Equal Opportunity

Curinos is proud to be an Equal Opportunity Employer. We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. We do not discriminate on the basis of race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.