Mississauga, Ontario, Canada · Hybrid
$121k–$171k/yr
We are seeking an experienced Senior Generative AI Developer to help drive the design, development, and integration of state-of-the-art Generative AI and agentic AI solutions across our enterprise Controls Technology pla…
Skills: Python, Generative AI, Agentic AI, RAG, Knowledge Graphs
Mississauga, Ontario, Canada · Hybrid
$79k–$111k/yr
The Data Analytics Intmd Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid unders…
Skills: SQL, Data Analysis, Shell Scripting, Statistical Modeling, Project Management
Mississauga, Ontario, Canada · On-site
$73k–$121k/yr
IQVIA est le leader mondial de la fourniture de données sanitaires et pharmaceutiques au secteur des soins de santé. Notre équipe de services de conseil et d’analyse est réputée pour offrir à ses clients une perspective …
Skills: Data analysis, Quantitative analysis, Qualitative analysis, Consulting methodologies, Life sciences
Mississauga, Ontario, Canada · On-site
IKO Industries Ltd. is a market leader in the manufacturing of roofing and building materials. IKO is a Canadian owned and operated business with production facilities worldwide and has many years of unparalleled success…
Skills: SQL, ETL, Azure Data Factory, Databricks, SSIS
Mississauga, Ontario, Canada · Hybrid
$69k–$119k/yr
We are the people who give possibilities purpose BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination …
Skills: Financial modeling, Data analytics, Market intelligence, Pricing strategy, Dashboard design
Mississauga, Ontario, Canada · Hybrid
$121k–$171k/yr
We are seeking a Lead / Senior QA Automation Engineer to elevate the quality engineering function across our automation and data-processing platforms. This role is expected to assess current processes, design and impleme…
Skills: Selenium, Python, Pytest, SQL, Oracle
Mississauga, Ontario, Canada · On-site
$68k–$85k/yr
Intelcom | Dragonfly With more than 100 sorting stations and operations across three continents, Intelcom | Dragonfly is Canada’s leader in last-mile logistics. Our vision is clear: to deliver fast, accurate, and reliabl…
Skills: Operational Excellence, Logistics, Continuous Improvement, Root Cause Analysis, Kaizen
Mississauga, Ontario, Canada · Hybrid
Job Description Overview The Manager, Process & Performance Improvement is a member of the Engineering Excellence team, responsible for establishing a fit-for-purpose engineering work process, with a focus on continuous …
Skills: Engineering process improvement, Governance, Continuous improvement, Data analytics, Performance metrics
Mississauga, Ontario, Canada · On-site
$52k–$75k/yr
Logistics Analyst Description - Role Summary The Logistics Analyst – Inbound Operations is the on-site expert responsible for coordinating all inbound logistics activities, including receiving, unloading, inspection, sys…
Skills: Logistics analysis, Inventory control, Warehouse operations, Supply chain management, SAP
Mississauga, Ontario, Canada · On-site
$81k–$84k/yr
Requisition ID: 101028 Job Category: Metals Location: Mississauga, ON, Canada Join a company that is passionately committed to the pursuit of a better world through positive change. With more than 70 years of business an…
Skills: Pyrometallurgy, Materials engineering, Metallurgical engineering, Chemical engineering, Data processing
Mississauga, Ontario, Canada · On-site
It’s not a package. It’s a promise®. As Canada’s leading integrated freight, package, and logistics provider, we’ve been helping promises get where they need to be for more than 60 years. How does the magic happen? The j…
Skills: Carrier Management, Network Planning, Forecasting, KPI Tracking, Root Cause Analysis
Mississauga, Ontario, Canada · On-site
LXT is an emerging leader in AI training data to power intelligent technology for global organizations. In partnership with an international network of contributors, LXT collects and annotates data across multiple modali…
Skills: Transcription, Data classification, Data labeling, French fluency, Grammar
Mississauga, Ontario, Canada · On-site
$68k–$85k/yr
Job Grade: Supervisor/Analytical/Technical (I3/T2) Business Unit: Corporate Hiring Manager: Davinder Matharu About Woodbridge We are innovators using advanced technology to manufacture next generation products. We are pi…
Skills: Strategic sourcing, Procurement, Negotiation, Supply chain management, Cost analysis
Mississauga, Ontario, Canada · On-site
About Us Echelon Insurance provides Personal and Commercial Specialty Insurance solutions to protect Canadian families and businesses across Canada, through our trusted network of Broker partners. Echelon is a member of …
Skills: Operational Reviews, Compliance Adherence, Call Quality Reviews, Data Analytics, Vendor Performance Assessment
Mississauga, Ontario, Canada · On-site
POSITION SUMMARY The Sales Strategy Analyst collects, analyzes and reports management data to support decisions on day to day operations, strategic planning and specific business performance issues and improvements. Uses…
Skills: Data Analytics, Business Intelligence, PowerBI, CRM, Excel
Mississauga, Ontario, Canada · On-site
Location: HWY 403 & Dundas St W, Mississauga Schedule: Wednesday to Sunday, 11:30 AM - 8.00 PM (flexibility required based on business needs) About the Role This role will be supporting FACTOR_ brand (part of HelloFresh …
Skills: Planning, Logistics, Data analytics, Production operations, Supply chain
Mississauga, Ontario, Canada · Hybrid
$83k–$97k/yr
Position Title: Manager, Direct Marketing Status: Full Time Hiring Salary Range: $82,944 – $96,768 Work Location: Hybrid - 1 day per week in the office at 2085 Hurontario Street with occasional work at hospital sites – M…
Skills: Direct marketing, Fundraising, Donor acquisition, Donor retention, Project management
Mississauga, Ontario, Canada · On-site
Join Amrize as a Distribution Analyst and help construct what's next. If you're ready to put your skills to work on projects that matter — and build a career with a company that’s building North America — we want to hear…
Skills: Logistics Performance Analysis, S&OP, Transportation Mode Optimization, KPI Development, Data Validation
Mississauga, Ontario, Canada · On-site
Join Amrize as a Distribution Analyst and help construct what's next. If you're ready to put your skills to work on projects that matter — and build a career with a company that’s building North America — we want to hear…
Skills: Logistics Analysis, Forecasting, S&OP, Data Validation, Supply Chain Optimization
Mississauga, Ontario, Canada · On-site
Position Summary...This role provides strategic leadership in shaping the organization's enterprise strategy, corporate development agenda, strategic initiatives, and business planning processes. The role identifies grow…
Skills: Corporate Strategy, Strategic Leadership, Business Planning, Corporate Development, Market Analysis
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You will design and implement generative and agentic AI solutions, including RAG systems and multi-agent workflows, to enhance enterprise automation. Additionally, you will architect robust context engineering strategies and ensure the scalability, observability, and compliance of AI applications in production.
Candidates must have 6+ years of experience in AI/software development with deep expertise in LLMs, Python, and orchestration frameworks. A bachelor's degree is required, with a master's degree preferred, alongside strong skills in building RAG pipelines and agentic systems.
We are seeking an experienced Senior Generative AI Developer to help drive the design, development, and integration of state-of-the-art Generative AI and agentic AI solutions across our enterprise Controls Technology platform. You will collaborate with cross-functional teams, contribute deep technical expertise in context engineering, retrieval systems, knowledge graphs, and multi-agent orchestration, and play a key role in delivering scalable, grounded AI solutions to enhance automation and operational efficiency. This role centers on architecting robust applications and agent systems on top of pre-trained and hosted foundation models — not on training or fine-tuning models.
Collaborate with AI architects, leads, and stakeholders to design and implement generative and agentic AI solutions that address business challenges.
Architect advanced context engineering strategies — context layering, chaining, compression, pruning/offloading, and memory management — to maximize reliability, provenance, and token efficiency in production.
Design and implement advanced generative AI methods, including sophisticated prompt engineering and Retrieval-Augmented Generation (RAG).
Build and optimize RAG systems, including hybrid search, multi-vector retrieval, and re-ranking pipelines.
Design and implement knowledge graphs and Graph RAG architectures to enable multi-hop reasoning, explainability, and traceable, grounded responses for high-value business domains.
Architect agentic workflows and multi-agent systems using Google Agent Development Kit (ADK) and comparable frameworks (LangGraph, Microsoft Agent Framework, CrewAI), applying orchestration patterns such as supervisor/worker, hierarchical, and peer-to-peer.
Design robust agent harnesses — governance, constraints, feedback loops, state/session management, and execution controls that make long-running agent systems reliable and safe.
Integrate agents with tools and data via the Model Context Protocol (MCP) and orchestrate inter-agent collaboration and task delegation via the Agent2Agent (A2A) protocol.
Support the integration of GenAI and agentic applications into production environments, ensuring robust deployment, scalability, observability, and maintainability.
Contribute to the development and optimization of real-time and streaming AI solutions.
Stay current with the latest advances in generative and agentic AI and actively share knowledge with the team.
Ensure adherence to ethical AI guidelines, guardrails, agent isolation/sandboxing, data privacy, and compliance standards.
Mentor junior team members, provide code reviews, and foster a culture of technical excellence.
6+ years of experience in AI/software development, including significant experience in Generative AI and agentic AI.
Strong skills in Python and experience with data preprocessing, document ingestion, and API development.
Deep, hands-on expertise in core generative AI concepts — foundation models, LLMs, embeddings, tokenization, and context-window management.
Proficiency with major GenAI APIs (OpenAI, Gemini, Claude, etc.) and orchestration frameworks such as LangChain and LlamaIndex.
Advanced skills in prompt engineering and context engineering, including familiarity with prompt design tools/frameworks and dynamic context orchestration.
Proficiency with vector databases and embedding models for large-scale retrieval.
Strong experience building RAG systems, including chunking strategies, hybrid search, and multi-vector retrieval.
Practical experience designing knowledge graphs and Graph RAG pipelines (e.g., using graph databases such as Neo4j or ArangoDB) for relationship-aware, multi-hop retrieval.
Proven experience building agentic AI systems with Google ADK and/or comparable frameworks (LangGraph, Microsoft Agent Framework, CrewAI, OpenAI Agents SDK), including tool/function calling, planning, and memory.
Strong grasp of multi-agent orchestration patterns (supervisor/worker, hierarchical, peer-to-peer) and harness engineering (governance, feedback loops, execution controls, agent isolation/sandboxing).
Hands-on experience with agent interoperability protocols — the Model Context Protocol (MCP) for tool/data access and the Agent2Agent (A2A) protocol for inter-agent collaboration.
Experience with agent observability and evaluation (e.g., tracing, OpenTelemetry-based tooling) for production agent systems.
Experience working with AWS (or equivalent) cloud infrastructure for AI/GenAI.
Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for AI/agentic applications.
Strong skills in NLP (NER, dependency parsing, text classification, topic modeling).
Solid understanding of AI compliance, guardrails, and responsible AI practices.
Demonstrated portfolio of successful AI-driven projects in a business environment.
Strong collaboration skills to work effectively in cross-functional teams.
Analytical and proactive approach to problem-solving.
Clear communication skills for both technical and non-technical audiences.
Eagerness to learn, innovate, and mentor less experienced developers.
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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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.
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have over 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities. For information on Citi’s commitment to privacy, visit on.citi/privacy.
Offices: 388 Greenwich Street, New York, New York 10013, US · Locations in over 100 countries, http://www.citigroup.com/citi/global/index.htm, 10022, US · 5900 Hurontario St, Mississauga, ON L5R 0B8, CA · 165 Jalan Ampang, Kuala Lumpur, Federal Territory of Kuala Lumpur 50450, MY · Calle 62C O, Panama City, Panama, PA
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