Senior AI Engineer – Banking AI & MLOps

Scotiabank; Dallas (TX); Presencial; USD 150.000 - 230.000; Jornada completa

Descripción de la vacante

Scotiabank is seeking a Senior AI Engineer to design, build, and operate AI and agentic solutions across Canadian Banking, International Banking, GBM, GWM, Fraud, and AML. You will work with stakeholders, data scientists, and platform teams to translate workflows into secure, production-grade AI services using Databricks, MLflow, Kubernetes, and the Azure stack.

The role involves building AI applications, data pipelines, and production-ready ML workflows, with a focus on governance, safety, and

Formación

• Strong professional experience in software, data, or machine learning engineering, including hands-on delivery of production AI or machine learning solutions.
• Proficiency in Python and SQL, API development, automated testing, Git, and modern software engineering practices.
• Hands-on experience building generative AI applications or agentic workflows, including retrieval, tool integration, orchestration, and evaluation.
• Experience with Databricks, Apache Spark, Delta Lake, and scalable data processing pipelines.
• Experience with MLflow and MLOps practices such as experiment tracking, model registration, versioning, deployment, and monitoring.
• Practical experience with Microsoft Azure services and cloud application security, identity, networking, and observability.
• Experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure as code, with the ability to deploy and troubleshoot services.
• Ability to independently deliver well-defined engineering work, investigate ambiguous problems, and collaborate across business and technical teams.
• Understanding of AI evaluation, data privacy, secure tool use, human oversight, and the limitations of probabilistic model outputs.

Responsabilidades

• Design, build, and operate AI and agentic solutions across banking domains.
• Participate in discovery sessions to understand workflows and AI-enabled improvement opportunities.
• Translate requirements into technical designs, tasks, estimates, and acceptance criteria.
• Assess data readiness, dependencies, and feasibility; build prototypes to validate assumptions.
• Build LLM-powered applications and agentic workflows with tool calling and orchestration.
• Develop batch and streaming data pipelines using Databricks, Spark, Delta Lake, Python, and SQL.
• Implement CI/CD pipelines, automated testing, and deployment with Docker, Kubernetes, and AKS.

Conocimientos

Python

SQL

API development

Git

MLOps

Docker

Kubernetes

Educación

Bachelor’s or Master’s degree in computer science, engineering, or related field

Herramientas

Databricks

Azure Kubernetes Service (AKS)

MLflow

Descripción del empleo

Scotiabank is seeking a Senior AI Engineer to design, build, and operate AI and agentic solutions across Canadian Banking, International Banking, GBM, GWM, Fraud, and AML. You will work with stakeholders, data scientists, and platform teams to translate workflows into secure, production-grade AI services using Databricks, MLflow, Kubernetes, and the Azure stack.

The role involves building AI applications, data pipelines, and production-ready ML workflows, with a focus on governance, safety, and