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Added 2 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 6 mins ago
AWS Java Full Stack Engineer
Infosys
United States
⦁ Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
Added 8 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 8 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 9 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 10 mins ago
Senior Vice President, Infrastructure Engineering (Mainframe Communications Systems Software Engineer
ewminds consulting Services
Jersey City, NJ
(SVP) Senior Vice President, Infrastructure Engineering (Mainframe Communications Systems Software Engineer)
Added 10 mins ago
Vice President – Full Java Stack Engineer
ewminds consulting Services
Pittsburgh, PA
…Azure, Kubernetes (AKS), and Angular, along with experience building distributed, event-driven systems in enterprise…
Added 12 mins ago
OA
Senior Infrastructure Software Engineer
Overland AI
Seattle, WA
- $200,000 to $240,000 USD / year
Overland AI is building off-road autonomy, and our software infrastructure is the backbone that enables our teams to move fast, experiment safely, and ship mission-critical systems. As an…
Added 13 mins ago
Software Development Engineer II, Client Engineering
Amazon.com Services LLC
Seattle, WA
As a Software Development Engineer on the Client Engineering Autonomous Fleet Management team, you will design and build systems that enable autonomous endpoint operations at scale.
Added 13 mins ago
Process Design Engineer, Quick Commerce Design Engineering
Amazon.com Services LLC
Bellevue, WA
Quick Commerce Process Design is looking for an innovative, solutions-oriented Process Design Engineer to help build the operational processes and standards behind Amazon's next-generation,…
Added 13 mins ago
Sr. System Development Engineer, Amazon Leo
Amazon Kuiper Manufacturing Enterprises LLC
Bellevue, WA
The role: In this role, you will be a key member of the team building and operating AWS infrastructure that supports the organization’s business services. You will provide infrastructure…
Added 13 mins ago
Automation Engineer
Amazon.com Services LLC
Richmond, VA
As an Automation Engineer, you will play a crucial role in maximizing equipment reliability and operational performance in our fulfillment centers by providing proactive controls automation…
Added 13 mins ago
Software Development Engineer, iOS
Audible, Inc.
Newark, NJ
As an iOS Engineer, it’s up to you to define, design and refine the tech that keeps us one step ahead of listeners. Anticipate. Innovate. Bring challenging ideas and we’ll support you with…
Added 14 mins ago
O
Lead Principal Application Software Engineer
Oracle
Nashville, TN
- $104,600 to $264,100 USD / year
Technical Strategy & Engineering, within Oracle’s Corporate Systems and Strategy organization, is seeking a Lead Principal Application Software Engineer (IC5) to lead engineering practices…
Added 16 mins ago
C
Product Engineer
Clera
San Francisco, CA
- $120,000 to $200,000 USD / year
Join a consumer fintech product and engineering team building tools that help people manage cash flow and build credit. You will own backend features from design through production,…
Added 19 mins ago
Lead Data Engineer
Docusign
San Francisco, CA · Seattle, WA
As the Lead Assignment Engine Data Engineer, you will lead the data engineering design for an explainable, configurable engine that converts normalized cloud and operational data into…
Added 19 mins ago
Staff Engineer
Raft Company Website
Colorado Springs, CO
Experienced with building, deployment, release automation, or orchestration
Added 19 mins ago
Automation Tester
Cayuse Holdings
Sacramento, CA
The Automation Tester will enhance the efficiency and effectiveness of our software testing processes. This role will design, develop, and maintain automated test suites to validate the…
Added 20 mins ago
Lead Software Engineer - Enterprise AI Services & Agents
Wellmark, Inc.
Des Moines, IA
As a Lead Software Engineer on Wellmark’s Enterprise AI Services & Agents team, you will lead the design and delivery of reusable enterprise assistants, agents, AI services, skills, and…
Added 20 mins ago
TT
Software Engineer, Security
True Talent Solutions Partners
Remote, United States
- $200,000 to $250,000 USD / year
- Experience building security systems and contributing to a security program in an early-stage environment.
Added 20 mins ago
TT
Founding Engineer
True Talent Solutions Partners
New York, NY
- $165,000 to $185,000 USD / year
- Hands-on experience building LLM agents, tool-calling systems, and multi-step AI workflows, including managing nondeterminism and context.
Added 20 mins ago
TT
Technical Product Manager
True Talent Solutions Partners
New York, NY
- $175,000 to $275,000 USD / year
Join an internal AI team at a Series B fintech company focused on accounting automation. You will help shape how AI agents support company-wide workflows, working closely with technical…
Added 22 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 23 mins ago
Senior DevSecOps Engineer (Contingent)
Mile Two, LLC
Dayton, OH
Are you into solving tough problems and building cool tech? Do you thrive in a team where your ideas are heard and your creativity is encouraged? If you're nodding along, Mile 2 might be…
Added 23 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…

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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