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Added 1 min ago
Senior Manager, AI Enablement Engineer
Scotiabank
Dallas, TX
Partner with business leaders to identify high-value opportunities across GenAI, agentic AI, machine learning and automation.
Added 8 mins ago
Research Software Engineer
Dartmouth College
NH
The Research Software Engineer at the Center for Open Neuroscience (CON) helps build infrastructure that makes neuroscience data FAIR, open, and reproducible, working on open-source…
Added 13 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 14 mins ago
DE
Product Software Engineer II
Disney Entertainment & Sports LLC
Bristol, CT
- $119,200 to $159,800 USD / year
The production software Engineering Product Development team is seeking a software engineer capable of building the services that power a wide array of ESPN media management applications…
Added 18 mins ago
Sr. System Development Engineer, Amazon Leo
Amazon Kuiper Manufacturing Enterprises LLC
Bellevue, WA
Design and build agentic AI solutions on Amazon Bedrock and AgentCore, including MCP tool servers, multi-agent orchestration, knowledge bases, and AI safety guardrails for SAP-integrated…
Added 19 mins ago
O
Lead Principal Application Software Engineer
Oracle
Nashville, TN
- $104,600 to $264,100 USD / year
…organization, is seeking a Lead Principal Application Software Engineer (IC5) to lead engineering practices and architecture. Our team modernizes corporate systems, processes, and data,…
Added 20 mins ago
WL
Staff Engineer (Virtual, Full-time)
WEALTHCOUNSEL LLC
Jersey City, NJ
- Full-time
…expand, we are seeking a motivated and driven Quality Assurance Engineer to join our…
Added 24 mins ago
Sr Enterprise Account Exec ( Armis / Veza )
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 25 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 25 mins ago
Senior Data Engineer (Databricks) - Contractor - US
Object Edge
Walnut Creek, CA
…Hive, a company brain for revenue, embeds engineers to build agentic workflows on it, and provides management engineering to lead the…
Added 25 mins ago
Senior Architect Data Engineer (Databricks) - Contractor - US
Object Edge
Walnut Creek, CA
…Hive, a company brain for revenue, embeds engineers to build agentic workflows on it, and provides management engineering to lead the…
Added 26 mins ago
TT
Founding Engineer
True Talent Solutions Partners
New York, NY
- $165,000 to $185,000 USD / year
- Design and ship reliable agentic workflows, including structured extraction, tool calling, and multi-step AI pipelines.
Added 27 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 28 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 30 mins ago
Senior Data & AI Engineer - Managed Services
3Cloud
Remote, United States
Attend regularly cadenced client meetings and serve as lead engineer for technical questions and support tickets
Added 32 mins ago
P
Security & IT Operations Engineer
Prefect
Remote, United States
- $165,000 to $219,000 USD / year
…was about protecting workflows from unpredictability; in the agentic era, unpredictability is the point. Our mission is to give people confidence in automated work, whether that work is a…
Added 35 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
Lead the team in using AI for operations. Develop Agentic Operations framework to disseminate across broader Engineering Operations DT team.
Added 37 mins ago
Member of Technical Staff – Tech Lead
ResolveAI
San Francisco, CA
…by building a transformative, truly autonomous AI Production Engineer that investigates and fixes complex system issues…
Added 38 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
Staff Software Engineer - Backend (Consumer - Agentic Trading)
Coinbase
Remote, United States
We're hiring a Staff Software Engineer to join the Coinbase Advisor team within the Consumer & Business group. Coinbase Advisor is the world's first RIA-licensed agentic trading system: an…
Added 41 mins ago
N
AI Product Operator Intern
Niural
New York City, NY
- $20 to $25 USD / hour
- Experience with agentic AI frameworks (LangChain, LangGraph, CrewAI)
Added 42 mins ago
Senior Web & GTM Engineer
Komodo Health
United States
This role exists to run komodohealth.com as a high-performing pipeline channel and to write the code behind our agentic marketing workflows. You will drive website strategy and execute it.…
Added 43 mins ago
Platform Engineer
Advocate Technologies Inc.
Long Island City, NY
We’re hiring a NYC based Platform Engineer to own the foundation that Advocate’s product and people build on.
Added 46 mins ago
Developer Relations Lead
Zenrows
Remote, United States
As we continue our rapid expansion, we are now looking for our first Developer Relations Engineer to join us on a permanent basis, make an instant impact and build our DevRel function from…
Added 51 mins ago
Systems Development Engineer, AWS Commerce Platform-ADC
Amazon Development Center U.S., Inc.
Denver, CO
The Amazon Dedicated Cloud (ADC), AWS Commerce Platform team is hiring a cleared Systems Development Engineer to join the team. This is an exciting opportunity to use the latest cloud…

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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