Senior ML/AI Platform Engineer (Databricks)

Senior ML/AI Platform Engineer (Databricks )

Full Time

New York, NY, US

30+ days ago

Requisition ID

1094

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Salary Range

$130,000.00 To $147,000.00 Annually

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 automation,reliability improvements,incident response, root cause analysis.

Design, revise, and document architecture patterns, operational procedures, and engineering best practices.

Salary Range

$130,000- $147,000 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 Bundles,MLflow, Python,PySpark, 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?

Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from

Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!

Unlimited PTO policy, floating holidays, volunteering days and a day off for your birthday

Learning and development tools to assist with your career development

Work with industry leading Subject Matter Experts and specialist products

Regular social events and networking opportunities

Collaborative, supportive culture, including an active DE&I program

Employee Assistance Program which provides expert third-party advice on well-being, relationships, legal and financial matters, as well as access to counselling services

Applying

We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're 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 please contact us at careers@curinos.com and we’ll 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, Curinos is proud to be an Equal Opportunity Employer. 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.