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Added 16 mins ago
MuleSoft Integration Engineer
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ON · Durham, ON
Full-time
…technical resources to serve as a Data Integration, API and ETL developer for creating real-time, on-demand, batch and scheduled data interfaces and processing between systems and…
Added 31 mins ago
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Full-time
Proficiency in SQL and Python; ability to learn additional languages as needed
Added 31 mins ago
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Proficiency in data analysis tools such as Python, R, SQL, or similar scripting languages.
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Deep knowledge of object-oriented programming languages: Java, C++, Go, C#, Ruby, Scala, Python, Node.js, or JavaScript
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$90,000 to $110,000 CAD / year
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Strong fundamentals in testing, Git, and at least one of Python, TypeScript, or C#.
Added 3 hours ago
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Technical Solutions Development Manager, Compute, Google Cloud
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13 years of experience in reading/debugging code written in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) and in virtualization and…
Added 5 hours ago
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FY27 Intern - Design Automation & Quality Assurance Engineering Intern - Canada (16 months)
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Proficiency in at least one scripting or programming language, such as Python.
Added 6 hours ago
ASICS Design Verification Engineer - Multiple levels
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6+ years of experience with scripting/automation skills using either Perl or python
Added 7 hours ago
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Proficiency in C#, Java, Python, and experience with .NET components
Added 7 hours ago
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Strong programming skills in C++, Python, or similar languages used for robotics systems, runtime services, and hardware integration.

Citi

Agentic AI Lead Engineer - Vice President

Mississauga, ON, Canada

Pay: $120,800.00 - $170,800.00
Job type: Full-time
Experience: 10 or more years of software engineering experience, with at least 5 years focused on AI and machine learning solutions delivered in production environments.
Posting language: English
Posted: Sep 30, 2026

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Original job description

Citi is looking for a hands on Technical Lead to shape the engineering foundation of its Services AI Platform a multi-tenant, production-grade ecosystem where agentic AI meets enterprise scale. In this player-coach role, you will write production code and set the technical direction for the platform, ensuring it is built on principles of trust, operational resilience, and scalability. You will translate complex enterprise workflows into intelligent, automated systems that deliver measurable business impact across Citi's global operations.

Responsibilities

Architect and build full-stack AI platform components using Python and Angular, including internal large language model fine-tuning interfaces and experiment tracking dashboards.
Design and optimize multi-tenant intelligent agents using modular orchestration patterns - including ReAct and ReWOO - to power scalable, production-ready agentic workflows.
Build Model Context Protocol servers that enforce clean, decoupled communication layers, ensuring agents interact exclusively through defined API boundaries without direct database access.
Develop next-generation retrieval-augmented generation pipelines, including Knowledge Graph RAG, LightRAG, and RAPTOR hierarchical summary architectures, to enable sophisticated enterprise data retrieval.
Integrate vector and graph databases - such as Neo4j and pgvector - to support complex, thematic data retrieval at platform scale.
Design precise prompt and intent classification logic that prevents workflow collisions and ensures each agent instruction is handled with high accuracy.
Partner directly with subject matter experts to translate deep domain knowledge into automated, agent-driven solutions, and collaborate with UI and API teams to deliver seamless end-to-end integrations.

Required Qualifications & Skills

10 or more years of software engineering experience, with at least 5 years focused on AI and machine learning solutions delivered in production environments.
2 or more years of hands-on experience in Generative AI, including large language model development, retrieval-augmented generation, and prompt engineering.
3 or more years leading technical teams and owning delivery of complex software or AI platforms end to end.
Deep practical experience with AWS infrastructure and services for AI and machine learning workloads.
A demonstrated portfolio of AI solutions successfully deployed into live business environments, evidencing both technical depth and delivery ownership.
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a closely related field.

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field

What We Offer

At Citi, you will work at the forefront of enterprise AI engineering within a global platform team that values technical excellence, collaboration, and meaningful business impact. This is a role where your code ships to production, your architectural decisions shape the platform, and your leadership directly influences the capability and performance of the team around you.

Hybrid working model with 3 days in the office and 2 days working remotely, giving you structure alongside genuine flexibility.
Access to cutting-edge AI infrastructure, tools, and frameworks that keep you at the leading edge of the field.
Continuous learning and development support, including access to technical training, industry conferences, and structured career growth pathways.
The opportunity to lead high-impact engineering at global scale, with your work directly influencing how Citi builds and deploys intelligent automation across the enterprise.
Competitive compensation and a comprehensive financial wellbeing package reflective of a Vice President-level position at a leading global institution.
Wellbeing support programs that help you maintain balance and perform at your best over the long term.

Build the AI platform that powers Citi's next generation of intelligent automation - apply now and bring your engineering leadership to one of the most technically ambitious platforms in global financial services.

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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 lead engineer will architect and build full-stack AI platform components while setting the technical direction for agentic AI workflows. They will partner with subject matter experts to translate complex enterprise workflows into automated, intelligent systems.

Requirements

Candidates must have over 10 years of software engineering experience, including at least 5 years in AI/ML and 3 years in technical leadership. A bachelor's or master's degree in a relevant field is required, along with deep practical experience in AWS and Generative AI.

Skills

Python
Angular
Generative AI
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
AWS
Neo4j
Pgvector
Model Context Protocol
ReAct
ReWOO
Knowledge Graph
Machine Learning
Software Engineering
Technical Leadership

Benefits

Hybrid working model
Access to cutting-edge AI infrastructure
Continuous learning and development support
Technical training
Industry conferences
Competitive compensation
Financial wellbeing package
Wellbeing support programs

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Technical Lead
Python
Angular
Large Language Models
Retrieval-Augmented Generation
RAG
Knowledge Graph
Neo4j
Pgvector
AWS
Machine Learning
Prompt Engineering
Model Context Protocol
ReAct
ReWOO
Full-stack
Enterprise AI
Intelligent Automation
Software Engineering
API
Data Retrieval
Scalability
Operational Resilience
Hybrid Work
Financial Services
Vice President
Platform Engineering
Fine-tuning
Experiment Tracking

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