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Added 3 mins ago
Senior Director, Quality AI, Data & Technology Engineering
Vertex Pharmaceuticals Inc (US)
Boston, MA
The Senior Director, Quality AI, Data & Technology Engineering will define and execute the strategic vision for transforming Vertex’s global Quality operations through AI, data, and…
Added 6 mins ago
Senior Infrastructure Solutions Engineering (AI & Automation)
ewminds consulting Services
Frazer Township, PA
Our client is seeking a highly experienced Senior Vice President, Infrastructure Solutions Engineering leader to drive the next generation of AI-powered infrastructure automation across the…
Added 17 mins ago
Art Director, Motion and Brand
PrePass
Remote, United States
As the Art Director, Motion and Brand, you'll work with the Senior Art Director, the Director of Marketing Comms, and the larger Marketing team to bring the PrePass brand to life in motion.…
Added 17 mins ago
Senior AI Software Developer & Engineer (US Citizen)
Remote, United States
Serve as a senior, hands-on full-stack AI engineer and technical authority, leading the technical strategy, design, and delivery of large-scale mission-critical AI systems supporting…
Added 18 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 34 mins ago
PI
Senior Machine Learning Research Scientist
Pfizer Inc
WA · CA · MA · CT · NY
- $106,000 to $176,600 USD / year
…discover, develop, and deliver medicines to patients. As a Senior Machine Learning Research Scientist, you will help create the scientific foundations behind that future at…
Added 38 mins ago
Associate Director, Paid Social (Remote)
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Serve as a senior sponsor contact for several client accounts led by your team: building relationships with client decision makers, elevating the strategic conversation, and ensuring an…
Added 38 mins ago
Associate Director, Paid Social
Monks
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Serve as a senior sponsor contact for several client accounts led by your team: building relationships with client decision makers, elevating the strategic conversation, and ensuring an…
Added 41 mins ago
SCS Technology Leader
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United States
Drive the adoption of AI and emerging technologies across the engineering and UX organizations - including Generative AI in the software development lifecycle, AI-assisted design workflows,…
Added 42 mins ago
Director, Cybersecurity Engineering
United Services Automobile Asn
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…with the Chief Information Security Officer (CISO) and other senior leaders to ensure appropriateness and adequacy versus industry best practices and regulatory…
Added 46 mins ago
(Senior) RA, Chemistry
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…chronic diseases. We combine deep expertise in receptor biology, generative AI, and high throughput in vivo data generation to exponentially accelerate the development of RNA therapeutics…
Added 49 mins ago
Senior Product Software Engineer
Coppell, TX
We are hiring a Senior Product Software Engineer to design, build, and operate business-critical customer and internal applications. This is a hands-on full-stack engineering role for an…
Added 50 mins ago
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AI Systems Design Architect, Vice President
SSB&T
Quincy, MA
- $120,000 to $217,500 USD / year
…enterprise AI system architecture strategy across the full Generative AI platform stack. This role requires deep expertise in Generative AI, enterprise architecture, platform engineering,…
Added 50 mins ago
S
AI Systems Design Architect, Vice President
SSB&T
Quincy, MA
- $120,000 to $217,500 USD / year
…enterprise AI system architecture strategy across the full Generative AI platform stack. This role requires deep expertise in Generative AI, enterprise architecture, platform engineering,…
Added 55 mins ago
ServiceNow Platform Lead, IT
Harvard University
Boston, MA
The ServiceNow Platform Lead works with the Senior Director, Administrative & Campus Systems to drive service and technology roadmaps, oversee major transformation initiatives, assign and…
Added 1 hour ago
Senior MLOps Engineer
Fisher Investments
Tampa, FL
…capabilities to support our international growth. We are looking for a Senior MLOps Engineer to build the infrastructure, pipelines, and operational practices that bring machine learning…
Added 1 hour ago
Senior Infrastructure Solutions Engineering (AI & Automation)
ewminds consulting Services
Frazer Township, PA
Our client is seeking a highly experienced Senior Vice President, Infrastructure Solutions Engineering leader to drive the next generation of AI-powered infrastructure automation across the…
Added 1 hour ago
AI Software Engineer
Hilton
Remote, United States
…award-winning culture. On the AI Platform team reporting to the Senior Manager Software Engineering, you will support projects including AI stay planner, AI Agents and Large Language Model…
Added 1 hour ago
VP, Insurance Leader
Capgemini
New York, NY, NY
Be the senior voice. Advise client leadership on trade-offs, sequencing and risk, including the calls that are uncomfortable to make.
Added 1 hour ago
Associate Director, Content Business Analysis
AlphaSense
NY
…workflows with high-quality outputs. With AI solutions like Generative Search, Generative Grid, and Deep Research, AlphaSense delivers the clarity and depth professionals need to navigate…
Added 1 hour ago
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Senior Software Developer
TEKsystems
Fairfax, VA
- $70 to $80 USD / hour
Pyramid Systems is seeking a Senior Software Engineer / Developer AI to help drive the development and deployment of advanced AI-powered solutions supporting federal initiatives. This role…
Added 1 hour ago
Senior Software Engineer (Institutional, USDC)
Coinbase
Remote, United States
As a Senior Software Engineer on the USDC team within the Institutional Product group, you'll design, build, and scale the systems that safely manage billions of dollars in loans across…
Added 1 hour ago
Senior Product Marketing Manager, Developer Technical Content, Cloud Product Marketing
Google
New York, NY · Austin, TX · Seattle, WA · Sunnyvale, CA
As a Senior Product Marketing Manager, Developer Technical Content, you will drive the strategic execution for how we educate and inspire the global builder community through high-quality,…
Added 1 hour ago
Senior Software Engineer, AI/ML, ML Training
Google
Sunnyvale, CA · Kirkland, WA
3 years of generative AI or performance analysis experience.
Added 1 hour ago
Sr. Director, Digital Unified Communications
Direct Travel
United States
The Sr. Director, Digital Unified Communications is a senior strategic leader within the IT Enterprise Services (ITES) organization, responsible for the vision, strategy, and execution of…

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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