Senior AI Engineer

Scotiabank; Dallas (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

Scotiabank is seeking an experienced Senior AI Engineer to design, develop, deploy, and scale AI-powered applications across the enterprise. You will work with data scientists and platform engineers to bring AI solutions from concept to production while ensuring security, governance, and regulatory compliance.

The role covers AI solution development, enterprise platform engineering, MLOps, data pipelines, and governance.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field.
• 5+ years of software engineering experience.
• 3+ years of AI/ML engineering experience in production environments.
• Experience deploying enterprise-scale AI solutions.
• Experience working in highly regulated environments is preferred.

Responsibilities

• Design and implement AI/ML and Generative AI solutions for business-critical use cases.
• Build intelligent applications leveraging LLMs, RAG architectures, vector databases, and agentic workflows.
• Develop APIs, microservices, and reusable AI services for enterprise consumption.
• Implement prompt engineering, tool calling, function orchestration, and agent frameworks.
• Contribute to the design and evolution of Scotiabank's AI platform.
• Build scalable AI services on cloud-native architectures.
• Enable secure deployment of foundation models and AI agents.
• Integrate AI capabilities with enterprise data platforms and business applications.
• Develop CI/CD pipelines for machine learning and Generative AI workloads.
• Automate model deployment, monitoring, evaluation, and lifecycle management.
• Implement observability, telemetry, model performance tracking, and cost governance.
• Ensure AI solutions meet enterprise reliability and security standards.
• Build RAG pipelines using structured and unstructured data sources.
• Develop data ingestion, embedding, indexing, and retrieval frameworks.
• Work with large-scale data platforms including batch and real-time processing systems.
• Collaborate with data governance teams to ensure responsible AI practices.
• Implement AI governance controls, guardrails, content filtering, and responsible AI requirements.
• Support regulatory and risk-management processes for AI systems.
• Conduct model validations, performance assessments, explainability, and compliance reviews.
• Partner with business leaders to identify impactful AI opportunities.
• Mentor junior engineers and promote engineering best practices.
• Collaborate with architecture, security, and infrastructure teams on enterprise initiatives.

Skills

Python

LLMs

NLP & LLM tech

RAG architectures

Vector databases

Prompt engineering

Education

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence

Tools

Docker

Kubernetes

Terraform

GitHub Actions / Azure DevOps

Databricks

Spark

Kafka

Pinecone

Weaviate

Milvus

Cosmos DB

Job description

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Please note that the Salary Range shown is a guideline only. Salary offered may vary based on factors, including, but not limited to, the successful candidate's relevant knowledge, skills, and experience.

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Purpose

We are seeking an experienced Senior AI Engineer to design, develop, deploy, and scale AI-powered applications across the enterprise. The ideal candidate combines strong software engineering expertise with deep knowledge of machine learning, Generative AI, agentic systems, cloud platforms, and MLOps practices.
You will work closely with data scientists, platform engineers, architects, product teams, and business stakeholders to bring AI solutions from concept to production while ensuring security, governance, scalability, and regulatory compliance.

What You’ll Do

AI Solution Development

• Design and implement AI/ML and Generative AI solutions for business-critical use cases.
• Build intelligent applications leveraging LLMs, RAG architectures, vector databases, and agentic workflows.
• Develop APIs, microservices, and reusable AI services for enterprise consumption.
• Implement prompt engineering, tool calling, function orchestration, and agent frameworks.

Enterprise AI Platform Engineering

• Contribute to the design and evolution of Scotiabank's AI platform.
• Build scalable AI services on cloud-native architectures.
• Enable secure deployment of foundation models and AI agents.
• Integrate AI capabilities with enterprise data platforms and business applications.

MLOps & AI Operations

• Develop CI/CD pipelines for machine learning and Generative AI workloads.
• Automate model deployment, monitoring, evaluation, and lifecycle management.
• Implement observability, telemetry, model performance tracking, and cost governance.
• Ensure AI solutions meet enterprise reliability and security standards.

Data & Knowledge Engineering

• Build RAG pipelines using structured and unstructured data sources.
• Develop data ingestion, embedding, indexing, and retrieval frameworks.
• Work with large-scale data platforms including batch and real-time processing systems.
• Collaborate with data governance teams to ensure responsible AI practices.

AI Governance & Risk Management

• Implement AI governance controls, guardrails, content filtering, and responsible AI requirements.
• Support regulatory and risk-management processes for AI systems.
• Conduct model validations, performance assessments, explainability, and compliance reviews.

Stakeholder Collaboration

• Partner with business leaders to identify impactful AI opportunities.
• Mentor junior engineers and promote engineering best practices.
• Collaborate with architecture, security, and infrastructure teams on enterprise initiatives.

What You’ll Bring

Education

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field.

Experience

• 5+ years of software engineering experience.
• 3+ years of AI/ML engineering experience in production environments.
• Experience deploying enterprise-scale AI solutions.
• Experience working in highly regulated environments is preferred.

Technical Skills

Programming

• Python (required)
• Java or Scala
• SQL
• REST APIs

AI & Machine Learning

• Machine Learning model development and deployment
• Deep Learning frameworks (PyTorch, TensorFlow)
• NLP and LLM technologies
• Fine-tuning and model optimization
• Evaluation frameworks

Generative AI

• OpenAI / Azure OpenAI
• LangChain, LangGraph, Semantic Kernel
• RAG architectures
• Vector databases
• Agentic AI frameworks
• Prompt engineering

Cloud & DevOps

• Microsoft Azure (preferred)
• AWS or GCP experience
• Docker
• Kubernetes
• Terraform
• GitHub Actions / Azure DevOps

Data Technologies

• Databricks
• Spark
• Kafka
• Data Lakes
• Vector Stores (Pinecone, Weaviate, Milvus, Cosmos DB)

MLOps

• MLflow
• Model monitoring
• CI/CD pipelines
• Feature stores
• Experiment tracking

Preferred Qualifications

• Experience building enterprise AI agents and multi-agent systems.
• Experience with AI governance platforms.
• Knowledge of financial services, risk, compliance, AML, fraud, or customer analytics.
• Experience implementing Responsible AI frameworks.
• Microsoft Azure AI certifications or cloud certifications.
• Experience leading technical delivery teams.

Leadership Competencies

• Strong problem-solving and analytical skills.
• Ability to translate complex AI concepts into business value.
• Excellent communication and stakeholder management skills.

What’s in it for you?

Scotiabank wants you to be able to bring your best self to work - and life, every day. With a focus on holistic well-being, our many flexible benefit programs are designed to help support your unique family, financial, physical, mental, and social health needs.

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

Scotiabank is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law.