Senior MLAI Platform Engineer (Databricks )

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: confident decisions stronger customer relationships and lasting profitable growth.

Curinos operates under a hybrid modality and has office locations in New York Chicago Boston Toronto and London. This role is open to hybrid/ remote candidates based in the United States.

Job Description

We are seeking a Senior 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 role that will unlock the next phase of Curinos scalable growth.

You will be responsible for designing and implementing the infrastructure tooling automation observability and governance capabilities that power production machine learning models LLM applications and agentic AI workflows. You will work with applied scientists to move solutions from experimentation to production quickly safely and repeatably. You will build it once and scale it many times.

We are a Databricks-first organization and make extensive use of Databricks Workflows Asset Bundles Unity Catalog MLflow Delta Live Tables and related ecosystem tools. You will work closely with data scientists data engineers software engineers and product teams embed AI and ML capabilities into our products as well as automate operational processes to achieve reliable scalable efficiencies across data and algorithmic workflows company-wide.

As a FinTech company operating in a regulated environment we place strong emphasis on governance reproducibility observability and operational excellence. This role is critical to ensuring our AI platform and ML solutions meet those standards while remaining fast-moving and developer-friendly.

Responsibilities

• Design build and maintain platform capabilities for deploying monitoring and operating ML models LLM applications and agentic AI workflows.
• Develop automated CI/CD pipelines and infrastructure-as-code patterns for AI and machine learning workloads.
• Create platformtoolingthatstandardizes deployment practicesof AI and ML capabilitiesacross teams.
• 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 withscientists and engineers toproductionizenewMLmodels and AI capabilities.
• Support governance auditability reproducibility and model lifecycle management requirements.
• Strongly advocate and demonstrateoperational excellence practices includingplatform automationreliability improvementsincident response root cause analysis.
• Design revise and document architecture patterns operational procedures and engineering best practices.

Salary Range: $130000- $147000 USD (plus bonus

Desired Skills & Experience

• 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 BundlesMLflow PythonPySpark andSparkSQL.
• Experience with modernMLOpspractices 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 the ability to work effectively across multidisciplinary teams that make use of the AI and ML workflows you build.

Why work at Curinos

Applying

We know that sometimes the perfect candidate doesnt exist and that people can be put off applying for a job if they dont meet all the requirements. If youre excited about working for us and have relevant skills or experience please go ahead and apply. You could be just what we need!

If you need any adjustments to support your application such as information in alternative formats special requirements to access our buildings or adjusted interview formats pleasecontact us at and well do everything we can to help.

Inclusivity at Curinos

We believe strongly in the value of diversity and creating supportive inclusive environments where our colleagues can succeed. As such Curinosis proud to be an Equal Opportunity 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.