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Added 2 hours ago
W
Sr. Software Development Engineer / Principal, Software Development Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
The AI Model Serving team is the engine behind every production Workday agent and machine learning use case. We own the services that power all production AI workloads, serving as the…
Added 4 hours ago
B
Senior Manager, Credit Risk Strategy Oversight
BMO
Toronto, ON · BMOPLACE
- Full-time
Join a purpose‑driven team at the core of BMO’s risk management ecosystem. As the Senior Manager, Credit Risk Strategy Oversight, you will provide independent, forward‑looking challenge on…
Added 4 hours ago
M
Manager / Senior Manager, AI Model Risk Governance, Standards & Enablement
Manulife
Halifax, NS · Toronto, ON · Waterloo, ON · Montreal, QC
- Full-time
Establish governance requirements and risk management expectations for machine learning, Generative AI, foundation models, retrieval-augmented generation (RAG), and Agentic AI solutions.
Added 5 hours ago
AM
IOHUB Design Verification Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…interconnect IP for AMD products, including discrete GPUs, machine learning products, APUs, servers, and game consoles. The global NBIO organization operates seamlessly across China, North…
Added 6 hours ago
A
Senior Manager, AI Strategy & Business Development
Avanade
Toronto, ON
- Full-time
10 or more years of experience across Artificial Intelligence, Machine Learning, Data Science, advanced analytics, or related technology consulting disciplines.
Added 7 hours ago
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SENIOR BUSINESS ADVISOR, AI
BDC
Montreal, QC
- Full-time
Strong understanding of AI concepts (e.g., machine learning, NLP, generative AI) at a conceptual and applied business level (not hands‑on model development).
Added 7 hours ago
Senior Manager, Document Management Platforms (COR.TRANSFORM)
Symcor
Mississauga, ON
The Senior Manager, COR.TRANSFORM leads the team responsible for implementing, maintaining, and supporting Symcor’s Document Management platforms, ensuring solutions meet business,…
Added 8 hours ago
SE
Manager, DtC (Retail/Ecomm) Data Analytics
Samsung Electronics
Mississauga, ON
- Full-time
Subsidized Cafeteria; including free Starbucks coffee/latte machine
Added 9 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
AI & Machine Learning: Advanced knowledge of LLMs, Vectors, Prompt Engineering, and Model Context Protocol (MCP).
Added 10 hours ago
V
Emerging Niche Sales- Retail, CPG and Manufacturing
Virtusa
Toronto, ON
- Full-time
…transformation services. You should be comfortable speaking with both senior level technology, and non-technology buyers. You can interact at a strategic level, convey complex concepts and…
Added 10 hours ago
OP
Model Developer
Ontario Power Generation
Toronto, ON
- Full-time
Reporting to the Senior Manager, Model Development & Analytics, the Model Developer will build and enhance best-in-class electricity market models and use analytical tools to ensure the…
Added 11 hours ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
Experience developing or integrating AI, machine learning, agentic, or automation technologies to improve engineering, security, or operational workflows.
Added 11 hours ago
SR
Senior Robotics Engineer
Strive Robotics
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Strong technical foundations across several of the following: manipulation, controls, motion planning, perception, state estimation, optimization, machine learning, and software engineering.
Added 11 hours ago
A
Data Scientist
Amyantek
Toronto, ON · Greater Toronto Area, Canada
- Contract
Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation
Added 11 hours ago
RB
Staff Data Scientist, AI Evaluations Platform
Royal Bank of Canada
Montreal, QC
- Full-time
8+ years of experience in data science, applied machine learning, AI evaluation, ML quality, or a related technical field, including experience providing technical leadership and mentorship…
Added 11 hours ago
T
North America Regulatory Consultant
Trulioo
Vancouver, BC
- Full-time
Reporting to the Senior Manager, Enterprise Risk, the North America Regulatory Consultant will be responsible for serving as a subject matter expert on U.S. and Canadian regulatory…
Added 12 hours ago
SI
Senior Software Engineer (Frontend), Search
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
Discovery Applications is the face of Scribd’s Machine Learning and Discovery Engineering Division. It is dedicated to building the customer-facing web experiences that power our…
Added 13 hours ago
AC
Lead Data Designer
Aviva Canada
Markham, ON
- Full-time
Added 13 hours ago
A
1836 Data Scientist III
Amyantek
Toronto, ON
- Contract
Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation
Added 14 hours ago
CO
Principal Associate, Product Management
Capital One
Toronto, ON
- Full-time
Manage and scale data and machine learning platforms across the organization to deliver smart, personalized experiences.
Added 14 hours ago
B
Senior Manager, AI Strategy & Product Management
BMO
Toronto, ON · FCP
- Full-time
Senior Manager – AI Strategy & Product Management
Added 14 hours ago
Lead Data Designer
Aviva
Markham, ON
Added 14 hours ago
HB
Senior Specialist, Data Loss Prevention
HomeEquity Bank
Toronto, ON
- Full-time
Reduce false positive volume through iterative rule refinement, exact data matching, document fingerprinting, machine learning classifiers, and context based conditions
Added 15 hours ago
AT
Senior Python Developer
Altis Technology
Toronto, ON · Greater Toronto Area, Canada
- $135,000 to $155,000 CAD / year
- Full-time
We are assisting our reputable client in the geoscience industry with the search for a Senior Back End Developer (C++/Python).
Added 15 hours ago
S
Artificial Intelligence Consultant
SMARTFOX
Canada
- Full-time
Solid foundations in data and AI: Python, SQL, and an understanding of machine learning and modern LLM techniques

Citi

Application Development Senior Manager - Vice President

Mississauga, ON, Canada

$120,800.00 - $170,800.00 · Full-time

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Job details

Pay: $120,800.00 - $170,800.00
Job type: Full-time
Apply by: Dec 29, 2026
Experience: 10+ years of overall experience in large-scale application development with recent mandatory platform for the secure and scalable deployment of AI agents into application contexts
Posting language: English
Posted: Oct 9, 2026

Original job description

The Applications Development Senior Manager is a senior management level position responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to drive applications systems analysis and programming activities.

Responsibilities:

Manage one or more Applications Development teams in an effort to accomplish established goals as well as conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions)
Utilize in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications
Review and analyze proposed technical solutions for projects
Contribute to formulation of strategies for applications development and other functional areas
Develop comprehensive knowledge of how areas of business integrate to accomplish business goals
Provide evaluative judgment based on analysis of factual data in complicated and unique situations
Impact the Applications Development area through monitoring delivery of end results, participate in budget management, and handling day-to-day staff management issues, including resource management and allocation of work within the team/project
Ensure essential procedures are followed and contribute to defining standards negotiating with external parties when necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.
Design, develop, and maintain scalable, enterprise-grade AI agents , supporting ELT/ETL processes to handle large data volumes using the Python, FAST API, Microservices , PySpark, Kafka and Databricks ecosystem.
Build and Deploy GEN AI Agents using Googles ADK and Google Flash 2.5+ LLMs to support application automation supports and its deep insights, workflow support with HIL - Human in loop architecture.
Build and maintain data federation layers for lambda and Data Mesh architectures using tools like Starburst, with a strategy for adopting AI-based use cases (e.g., machine learning, deep learning, NLP) to drive efficiency.
Develop, deploy, and automate microservice integrations to support data-intensive applications, ensuring scalability, resilience, and maintainability using cloud native infrastructure and openshift or Kubernates architecture including CI/CD pipelines.
Integrate and leverage agentic AI tools (e.g., Devin.AI, Github Copilot) and platforms (e.g., MCP) through advanced prompt engineering to enhance development and operational efficiency.
Ensure data quality, integrity, and security throughout the entire data lifecycle.
Contribute to the continuous improvement of data engineering processes, standards, and best practices within the team.
Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citi, its clients, and assets by driving compliance with applicable laws, rules, and regulations. Adhere to Policy, apply sound ethical judgment, and escalate, manage, and report control issues with transparency.

Recommended Qualifications:

10+ years of overall experience in large-scale application development with recent mandatory platform for the secure and scalable deployment of AI agents into application contexts
Minimum of 5+ years of proven experience in a Python and pyspark Engineering lead role focused on building enterprise-grade, high-volume ELT/ETL processes using the PySpark and Databricks ecosystem.
Hands-on experience with agentic AI development using YAML, JSON, FAST API or Spring boot, Google ADK, LLM itegrations, including Devin.AI or Github Copilot, and integrating models via platforms like MCP using advanced prompt engineering.
Proven experience developing and automating microservice integrations to support data-intensive applications.
Proficiency in at least one programming language commonly used for data analytics, engineering, such as Python or Scala.
Strong SQL skills and experience with various relational databases.
Deep understanding of data modeling, data warehousing concepts, Data Mesh architecture, and data federation.
Excellent communication, collaboration, and problem-solving skills.

Education:

Bachelor’s degree/University degree or equivalent experience
Master’s degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Primary Location Full Time Salary Range:

$120,800.00 - $170,800.00

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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This job opening is for an existing job vacancy.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

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More about this job

Responsibilities

The Senior Manager will lead application development teams to implement systems and programs while managing personnel and technical strategy. They are responsible for designing and maintaining scalable AI agents and data engineering pipelines to drive business efficiency and compliance.

Requirements

Candidates must have over 10 years of experience in large-scale application development with a strong focus on Python, PySpark, and AI agent deployment. A bachelor's degree is required, with a master's degree preferred, alongside deep expertise in data architecture and microservices.

Skills

Python
PySpark
Databricks
Fast API
Microservices
Kafka
Google ADK
LLM
Prompt Engineering
Data Mesh
Data Federation
Kubernetes
CI/CD
SQL
Data Engineering
Cloud Native Infrastructure

Visa sponsorship

Not detected in the job text

Keywords

Application Development
Python
PySpark
Databricks
Fast API
Microservices
Kafka
Google ADK
LLM
Prompt Engineering
Data Mesh
Data Federation
Kubernetes
CI/CD
SQL
Data Engineering
Cloud Native Infrastructure
AI Agents
Machine Learning
Deep Learning
NLP
Devin.AI
Github Copilot
MCP
Data Lifecycle
Risk Management
Compliance
Strategy
Budget Management
Team Leadership

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