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Sr. Software Engineer (Core Policy)
Immuta
College Park, MD · Columbus, OH · Boston, MA
- $155,000 to $170,000 USD / year
Our technology ecosystem includes Snowflake, Databricks, AWS, Microsoft Azure, Google Cloud, Okta, ServiceNow, Teradata, Alation, Atlan, and Starburst - connecting Immuta to the data,…
Added just now
Palantir Foundry Developer, Senior
Booz Allen Hamilton_United States
Lexington Park, MD
Palantir Foundry Developer, SeniorThe Opportunity:
Added 1 min ago
Software Engineer (Associate, Experienced or Lead)
The Boeing Company
El Segundo, CA
Experience with CICD implementation experience for both infrastructure and software deployments with tools such as Ansible, Chef, Jenkins, Puppet, and Azure DevOps
Added 1 min ago
Mid-Level Robotics Software Developer
The Boeing Company
Berkeley, MO · Hazelwood, MO
3+ years of experience with GitLab, Azure DevOps and CI/CD (Continuous Integration and Continuous Delivery
Added 4 mins ago
Sr. Director – Solutions Architect
BAE Systems
McLean, VA · Sterling, VA
Added 8 mins ago
Systems Engineer III
LiveView Technologies
American Fork, UT
…and administrator of our enterprise Okta ecosystem and SaaS integration footprint. Reporting to the Sr. Manager, IT Operations, this senior individual contributor role is charged with…
Added 12 mins ago
UG
Architect - Remote
UnitedHealth Group
Fort Washington, PA
- $112,700 to $193,200 USD / year
Architect and deliver solutions operating across hybrid environments, including on-premises infrastructure and public cloud, preferably Microsoft Azure
Added 13 mins ago
UG
Lead AI/ML Engineer - Office Based - Eden Prairie, MN
UnitedHealth Group
Eden Prairie, MN
- $145,500 to $249,500 USD / year
Establish best practices for code quality, continuous integration/continuous deployment (CI/CD), data pipelines, model governance, and responsible AI practices
Added 13 mins ago
UG
Principal Cybersecurity Analyst (Attack Surface Mgt.) On Site MN
UnitedHealth Group
Columbia, MD
- $112,700 to $193,200 USD / year
3+ years of experience assessing asset configurations and security postures across major public cloud platforms (e.g., AWS, Azure, GCP)
Added 13 mins ago
UG
Oracle Exadata DBA - Remote
UnitedHealth Group
New York, NY
- $112,700 to $193,200 USD / year
…automations, and intelligent runbooks using Python, Bash, and Azure OpenAI. This role offers the unique opportunity to solve complex data platform challenges, drive infrastructure…
Added 15 mins ago
Senior Production Site Reliability Engineer - PH
Walt Disney Pictures
Glendale, CA
Support rendering and pipeline automation for Unreal-based production animation, including integration with existing render orchestration workflows (e.g., AWS Deadline).
Added 21 mins ago
Lead Software Engineer
ZBETA Consulting
Remote, United States
Added 26 mins ago
Staff Software Architect
CVS Shared Services Resources LLC
Remote, United States
Drive the end-to-end software architecture vision and roadmap for the Clinical Insights Engine platform across GCP and Azure environments
Added 29 mins ago
AT
Scientist II
ALS TDI
Watertown, MA
- $125,000 to $135,000 USD / year
Oversee data acquisition, cleaning, curation, and integration from diverse sources to ensure data quality and consistency.
Added 30 mins ago
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AI Architect
WTW
Philadelphia, PA
- $120,000 to $150,000 USD / year
…architectures built primarily on Microsoft’s AI platform stack - Azure AI Foundry, Copilot Studio, and the Power Platform - complemented by enterprise agent platforms where they are the…
Added 31 mins ago
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Senior AI Developer
ClickUp
Remote, United States
- $200,000 to $250,000 USD / year
- Deep expertise in backend engineering, distributed systems, and cloud-native technologies (e.g., Kubernetes, Docker, AWS/GCP/Azure).
Added 37 mins ago
Principal AI Engineer
Scotiabank
Dallas, TX
Own end-to-end technical architecture across data ingestion, processing, model development, retrieval, agent orchestration, application integration, and production operations.
Added 37 mins ago
Full Stack Engineer
Scotiabank
Dallas, TX
Build APIs, microservices, and integration frameworks.
Added 38 mins ago
26-1140: Solutions Architect 3 - Herndon, VA
Navitas Business Consulting
Herndon, VA
Create architecture documentation for AI/ML solutions, including model deployment architectures, ML pipeline operational views, and integration patterns.
Added 41 mins ago
Software Development Engineer in Test II (SDET II)
Verisk | Verisk
Jersey City, NJ
Experience integrating the execution of Selenium regression scripts and Playwright scripts with Continuous Integration build servers like Jenkins and Azure Devops
Added 44 mins ago
Senior Bioinformatics Software Engineer
Baylor Genetics
Remote, United States
Dashboard & Report Creation:Develop interactive dashboards and automated reports using BI tools (e.g., Azure Pipelines, Teams Power Automate, email, Nextflow) to provide actionable insights…
Added 45 mins ago
MDE (Cyber, Network & Systems)
Infinity Technology Services LLC
Colorado Springs, CO
Strong understanding of systems integration and infrastructure design.
Added 49 mins ago
Embedded Hardware Design Engineer
Emerson
Round Rock, TX
Assist in the design and development of embedded hardware systems, including component selection, schematic capture, printed circuit board (PCB) development, and FPGA integration.
Added 53 mins ago
FLEX Senior Product Manager, Corporate Systems Procurement
at Marriott
Bethesda, MD
Proven record delivering complex, cross-functional integration programs from requirements through go-live in an agile environment (Jira, Azure DevOps, or similar).
Added 54 mins ago
Platform Software Engineer
Ford
Dearborn, MI · Dearborn
…understanding and experience of any major cloud platforms like AWS, Azure, or GCP is…

Scotiabank

Principal AI Engineer

Dallas, TX, United States

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Job details

Apply by: Nov 21, 2026
Posting language: English
Posted: Nov 6, 2026

Original job description

Requisition ID: 278902

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 Principal Engineer to lead the discovery, architecture, and delivery of AI and agentic solutions across Canadian Banking, International Banking, Global Banking and Markets (GBM), Global Wealth Management (GWM), Fraud, and Anti-Money Laundering (AML).

This is a hands-on technical leadership role spanning data engineering, AI engineering, software engineering, and MLOps. You will partner with business leaders to identify opportunities, translate complex workflows into practical solutions, and guide multidisciplinary teams from early experimentation through production deployment and ongoing operation.

The role requires deep engineering judgment: determining when to use traditional automation, machine learning, generative AI, or agentic workflows, and delivering solutions that meet enterprise expectations for security, reliability, explainability, and measurable business value.

What You'll Do

Business partnership and use case discovery

Partner with line-of-business stakeholders, product owners, and domain experts to understand business processes, operational challenges, and opportunities for AI-driven improvement.
Lead discovery workshops to identify and prioritize AI and agentic use cases based on business value, technical feasibility, data readiness, risk, and delivery effort.
Translate opportunities into solution designs, delivery roadmaps, technical backlogs, and measurable acceptance criteria.
Assess where autonomous execution is appropriate and where deterministic controls, human review, or approval are required. Architecture and technical leadership
Own end-to-end technical architecture across data ingestion, processing, model development, retrieval, agent orchestration, application integration, and production operations.
Design agentic workflows incorporating tool use, enterprise APIs, retrieval-augmented generation, state management, and human oversight.
Establish reusable engineering patterns, reference architectures, and shared components that accelerate delivery across business lines.
Lead architecture and code reviews, resolve complex engineering challenges, and guide teams through technical trade-offs.
Build critical components and reference implementations while mentoring engineers and influencing technical decisions across teams. Data and AI Engineering
Design scalable batch and streaming data pipelines using Databricks, Apache Spark, Delta Lake, SQL, Python, and Azure-native services.
Establish data quality, lineage, metadata, access controls, and curated data products that support analytics, machine learning, and AI applications.
Develop and integrate machine learning models, LLM-powered applications, retrieval services, and agentic workflows into enterprise systems.
Define evaluation approaches for predictive performance, retrieval quality, response accuracy, tool execution, and end-to-end task completion. MLOps DevOps and Production Delivery
Establish lifecycle practices for experiments, models, prompts, agents, and evaluation datasets using MLflow and supporting engineering tools.
Implement automated testing, CI/CD, infrastructure as code, deployment controls, rollback strategies, and environment management.
Design and deploy containerized services using Docker and Kubernetes, including Azure Kubernetes Service (AKS).
Define production monitoring for data and model drift, AI quality, latency, availability, cost, and operational failures.
Partner with platform engineering, cybersecurity, and operations teams to deliver resilient services with clear ownership, support models, and service-level objectives. Responsible AI and Enterprise Governance
Embed privacy, security, auditability, explainability, and responsible AI requirements into solution design and delivery.
Partner with model risk management, compliance, data governance, and cybersecurity teams throughout the delivery lifecycle.
Implement appropriate controls for sensitive data access, prompt injection, unsafe tool execution, and unintended agent actions.
Ensure production solutions maintain traceable decisions, evaluation evidence, and appropriate human accountability.

What You'll Bring

Extensive experience in software, data, or machine learning engineering, with demonstrated technical leadership across complex enterprise initiatives.
Proven ability to take AI or machine learning solutions from business discovery through production deployment and operation.
Strong hands-on proficiency in Python, SQL, API design, distributed systems, and modern software engineering practices.
Deep experience with Databricks, Apache Spark, Delta Lake, and enterprise data pipeline architecture.
Practical experience building generative AI and agentic applications, including retrieval, tool integration, orchestration, and evaluation.
Experience with MLflow and MLOps practices, including experiment tracking, model registration, deployment, monitoring, and lifecycle governance.
Strong knowledge of Azure architecture, identity, networking, security, and cloud-native application delivery.
Experience with Docker, Kubernetes, CI/CD pipelines, automated testing, and infrastructure as code.
Ability to communicate technical trade-offs clearly to executives, business stakeholders, architects, and engineering teams.
Demonstrated ability to lead through influence and raise engineering standards across organizational boundaries.

Preferred Qualifications

Experience in banking or financial services, particularly banking operations, capital markets, wealth management, fraud detection, or AML.
Experience delivering AI solutions within regulated environments and collaborating with model risk and governance functions.
Familiarity with Unity Catalog, enterprise metadata platforms, semantic models, vector search, and knowledge graphs.
Experience with event-driven architectures, secure agent tool interfaces, and Model Context Protocol (MCP).
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, Azure Event Hubs.
AI and machine learning: Azure-hosted AI models and services, MLflow, machine learning frameworks, agent orchestration frameworks, retrieval and vector search.
Application engineering: Python, SQL, REST APIs, microservices, and event-driven integration.
Cloud and runtime: 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.

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
Machine learning
Business processes
Leadership
Coaching
Databricks
Apache Spark
SQL
Python
Microsoft Azure
Mlflow
Test automation
CI/CD
Infrastructure as code
Docker
Kubernetes
Cybersecurity
Risk management
Regulatory compliance
API development
Fraud detection
Unity
Computer science
Data engineering
Microsoft Azure Data Factory
Microservices
DevOps
GitHub
IBM Terraform

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