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Added 1 min ago
RM
Mechanical Engineer
Re:Build Manufacturing
Rochester, NY
- $97,000 to $145,000 USD / year
We operate an advanced, end-to-end manufacturing platform that partners with industrial companies and innovators to take products from first concept to full-scale production in critical…
Added 2 mins ago
Senior Software Engineer (ICAM / Zero Trust)
CACI, INC.-FEDERAL
Hanover, MD
Job Title: Senior Software Engineer (ICAM / Zero Trust)
Added 4 mins ago
AP
Senior Software Engineer - Lead Platform
A Place for Mom
Remote, United States
- $160,000 to $190,000 USD / year
We are seeking a proactive and highly skilled Senior Software Engineer to join our high-impact Lead Platform engineering team. This team designs and scales the mission-critical systems…
Added 10 mins ago
Senior Principal Embedded Engineer, AI Solutions
Autodesk
Remote, United States
Autodesk Technical Advisory is seeking a highly technical and customer-focused Senior Principal Embedded Engineer, AI Solutions to join our new Embedded Engineering (forward-deployed…
Added 10 mins ago
Application Engineer
ALLIENT INC
Williamsville, NY · Rochester, NY
As an Application Engineer, you will work directly with experienced technical experts, customers, and development teams to help deploy cutting-edge motion control technologies. You will…
Added 12 mins ago
Senior Software Engineer
Humata Health, Inc
Remote, United States
🔍 What we're looking for: Humata Health Inc. is seeking an experienced Senior Backend Software Engineer to lead our efforts in modernizing our existing healthcare technology solutions. In…
Added 16 mins ago
O
Lead Principal Application Software Engineer
Oracle
Nashville, TN
- $104,600 to $264,100 USD / year
Select development tools and workflows. Write foundational code and prototypes, and work alongside engineers to deliver reusable templates, reference implementations, and self-service…
Added 19 mins ago
Industrial Engineer 2 - Supply Chain - West Coast Omni Center
Nordstrom Inc
Riverside, CA
At Nordstrom, we strive for engineering excellence and the Industrial Engineer 2, Supply Chain contributes to that by applying industrial engineering discipline on both established and new…
Added 25 mins ago
Senior DevSecOps Engineer (Contingent)
Mile Two, LLC
Dayton, OH
Experience with source control and collaborative development workflows, preferably Git-based.
Added 25 mins ago
Engineer
Scotiabank
Dallas, TX
We are seeking a Senior AI Engineer to design, build, and operate AI and agentic solutions supporting Canadian Banking, International Banking, Global Banking and Markets (GBM), Global…
Added 29 mins ago
A
Senior Systems Test Engineer
AeroVect
Remote, United States
- $130,000 to $160,000 USD / year
- Build and maintain scripts and tools for test automation, report generation, and regression tracking to support continuous system validation
Added 32 mins ago
QA Automation Engineer
DRB
Akron, OH
The Quality Assurance Automation Engineer I is a key contributor to ensuring overall hardware and software quality through proven test automation practices. The role includes working…
Added 32 mins ago
GE
Sr Staff Applications Operations Engineer – Engineering Tools Automation & AI Ops
General Electric Company
United States
- $131,000 to $174,000 USD / year
Serve as the senior technical operations authority across engineering application pods (software, hardware and electronic design, and project and portfolio management tools) for US and UK…
Added 33 mins ago
Systems Engineer
Grantek Systems Integration
Remote, United States
As a key member of Grantek’s Engineering team, you will be developing real-time automation solutions from the manufacturing plant floor to the enterprise level, using a variety of…
Added 33 mins ago
Systems Engineer
Grantek Systems Integration
Remote, United States
As a key member of Grantek’s Engineering team, you will be developing real-time automation solutions from the manufacturing plant floor to the enterprise level, using a variety of…
Added 33 mins ago
GS
Systems Engineer
Grantek Systems Integration
San Jose, CA
- $95,000 to $120,000 USD / year
As a key member of Grantek’s Engineering team, you will be developing real-time automation solutions from the manufacturing plant floor to the enterprise level, using a variety of…
Added 33 mins ago
Systems Designer
Grantek Systems Integration
Cleveland, OH
As a key member of Grantek’s Engineering team, you will be developing real-time automation solutions from the manufacturing plant floor to the enterprise level, using a variety of…
Added 33 mins ago
Systems Engineer
Grantek Systems Integration
Remote, United States
As a key member of Grantek’s Engineering team, you will be developing real-time automation solutions from the manufacturing plant floor to the enterprise level, using a variety of…
Added 33 mins ago
Systems Engineer
Grantek Systems Integration
Indianapolis, IN
As a key member of Grantek’s Engineering team, you will be developing real-time automation solutions from the manufacturing plant floor to the enterprise level, using a variety of…
Added 35 mins ago
Senior Software Engineer
Eagan, MN · Frisco, TX · Ann Arbor, MI
We're looking for a Senior Front-End Software Engineer AI to join the CoCounsel team. We are building the next generation of AI agentic products for legal professionals. The team takes…
Added 39 mins ago
Senior Software Engineer (ICAM / Zero Trust)
CACI
Hanover, MD · MD · Elkridge
Job Title: Senior Software Engineer (ICAM / Zero Trust)
Added 41 mins ago
Senior Robotics Software Engineer – AI-Enabled Manipulation & Industrial Automation
General Motors LLC
Mountain View, CA
The Senior Robotics Software Engineer – AI-Enabled Manipulation & Industrial Automation designs, develops, integrates, validates, and deploys AI-enabled robotic applications for industrial…
Added 42 mins ago
Senior Electrical Engineer - Industrial Market
Gresham Smith
Tampa, FL
Strong focus on continuous improvement of self and design approach with focus on skills development and development of new tools and practices to automate design.
Added 48 mins ago
Software Engineer
DCS Corporation
Sterling Heights, MI, MI
DCS is looking for a Senior Software Engineer to support the Army fleet of Robotic Autonomy Systems (RAS) platforms. Post Production Support Software effort include new feature development,…
Added 53 mins ago
Senior Software Development Engineer in
SONY CORPORATE SERVICES GROUP INC
MADISON, WI
…Group Corporation, we\'re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100…

Scotiabank

Engineer

Dallas, TX, United States

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Job details

Posting language: English
Posted: Nov 6, 2026

Original job description

Requisition ID: 278761

Salary Range: -

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 a Senior AI Engineer to design, build, and operate AI and agentic solutions supporting Canadian Banking, International Banking, Global Banking and Markets (GBM), Global Wealth Management (GWM), Fraud, and Anti-Money Laundering (AML). This is a hands-on engineering role spanning AI applications, data pipelines, software services, and MLOps. You will work with business stakeholders, product owners, data scientists, and platform teams to translate business workflows into secure, reliable production solutions using Databricks, MLflow, Kubernetes, and the Azure-native stack. You will own the design and delivery of assigned components and workflows, contribute to technical decisions with Principal Engineers and architects, and support solutions throughout their production lifecycle. The role requires sound judgment in choosing between deterministic automation, machine learning, generative AI, and agentic approaches.

What You'll Do

Business Discovery and Solution Design

Participate in discovery sessions with business stakeholders to understand workflows, data sources, pain points, and opportunities for AI-enabled improvement.
Translate requirements into technical designs, implementation tasks, estimates, and testable acceptance criteria in partnership with product owners and technical leads.
Assess data readiness, integration dependencies, and technical feasibility; build focused prototypes to validate assumptions before production implementation.
Identify appropriate boundaries for agent autonomy, human review, approvals, and deterministic business rules.

AI and Agentic Application Engineering

Build LLM-powered applications and agentic workflows using tool calling, enterprise APIs, retrieval-augmented generation, structured outputs, and state management.
Implement document ingestion, parsing, chunking, embeddings, indexing, retrieval, and reranking to provide relevant, permission-aware context.
Integrate predictive models and business rules with AI workflows in collaboration with data scientists and domain experts.
Implement validation, timeouts, retries, idempotency, and fallback paths to make workflows dependable and prevent unintended repeated actions.
Compare model and orchestration options against task quality, latency, cost, and operational requirements.

Data and Software Engineering

Develop and maintain batch and streaming data pipelines using Azure Databricks, Apache Spark, Delta Lake, Python, and SQL.
Implement data quality checks, schema validation, lineage, and access controls using enterprise standards and Unity Catalog where applicable.
Build tested APIs and services that connect AI applications to enterprise data, business systems, and approved tools.
Write maintainable code with clear interfaces, unit and integration tests, documentation, and peer review; troubleshoot complex issues across application and data layers.

Evaluation MLOps and Production Delivery

Use MLflow and supporting tools to track experiments, register models, version prompts and configurations, and retain evaluation results and deployment evidence.
Build representative evaluation datasets and automated checks for model performance, retrieval relevance, grounded responses, tool execution, and end-to-end task completion.
Implement CI/CD pipelines, automated regression testing, environment configuration, and controlled releases with rollback support.
Containerize services with Docker and deploy to Kubernetes, including Azure Kubernetes Service (AKS), using approved infrastructure-as-code patterns.
Instrument applications for tracing, logs, and metrics; monitor AI quality, data and model drift where applicable, latency, availability, and consumption costs.
Investigate production incidents, perform root-cause analysis, maintain runbooks, and contribute to operational support under the team’s agreed support model.

Security and responsible AI

Implement least-privilege access, secure secrets management, data protection, and audit logging using enterprise security and Azure identity standards.
Apply safeguards for prompt injection, sensitive data disclosure, unsafe tool execution, and unauthorized agent actions.
Implement human approval and escalation steps for sensitive decisions or actions, preserving traceability of inputs, outputs, and tool activity.
Work with cybersecurity, model risk, compliance, and data governance partners to address required controls and remediation items.

Collaboration and Engineering Contribution

Work with Principal Engineers and architects to align component designs with enterprise architecture and reusable platform capabilities.
Collaborate with data engineers, data scientists, platform engineers, and business teams to resolve dependencies and deliver integrated solutions.
Mentor engineers through code reviews, pairing, and knowledge sharing; contribute reusable components and practical engineering guidance.
Communicate progress, blockers, technical trade-offs, and delivery risks clearly and early.

Required Qualifications

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.

What You'll Bring

Required Qualifications

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.

Preferred Qualifications

Experience in financial services, particularly banking, capital markets, wealth management, fraud detection, or AML.
Experience implementing retrieval and vector search, document processing, semantic models, or knowledge graph integrations.
Familiarity with Model Context Protocol (MCP), event-driven architectures, and agent orchestration frameworks.
Experience working in regulated environments with model risk, audit, and data governance requirements.
Bachelor’s or master’s degree in computer science, engineering, mathematics, or a related discipline, or equivalent practical experience.

Technology Environment

Data engineering: Azure Databricks, Apache Spark, Delta Lake, Unity Catalog, Azure Data Lake Storage, Azure Data Factory, and Azure Event Hubs.
AI and machine learning: Azure-hosted AI models and services, MLflow, machine learning frameworks, agent orchestration frameworks, retrieval, and vector search.
Software and cloud: Python, SQL, REST APIs, Microsoft Azure, Docker, Kubernetes, AKS, Azure Functions, and Azure API Management.
Engineering operations: Azure DevOps or GitHub Actions, Terraform or Bicep, Azure Monitor, Application Insights, Key Vault, and Microsoft Entra ID.

Hiring Manager: Prabhu Gururaj

Interested?

If your experience is closely related but doesn’t align perfectly with every qualification, we do encourage you to apply - you might be the right candidate for this or other roles at Scotiabank! At Scotiabank, every employee is empowered to reach their fullest potential, respected for who they are and, embraced for their differences. That’s why we work to grow and diversify talent and engage employees in a performance-oriented culture.

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.

#Dallas Location(s): United States : Texas : Dallas

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. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. 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.

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More about this job

Skills

Anti-money laundering
Databricks
Mlflow
Kubernetes
Microsoft Azure
Inspect data
Collaboration
Apache Spark
Python
SQL
Statistical quality control
Unity
Documentation
Troubleshoot
CI/CD
Docker
Infrastructure as code
Root cause analysis
Data protection
Cybersecurity
Regulatory compliance
Machine learning
API development
Test automation
Git
Process data
Fraud detection
Computer science
Data engineering
Microsoft Azure Data Factory
DevOps
GitHub
IBM Terraform

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