AI Lead Engineer, Technical Lead - Services AI Platform
At a glance
Senior ML Platform & Ops role at Citi. Mississauga Ontario Canada · full-time · CA$120,800–CA$170,800 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build platform features in Python and Angular, including LLM fine-tuning interfaces and experiment tracking dashboards
- Create multi-tenant agents with modular orchestration, then develop MCP servers that keep agent communication within defined APIs
- Build retrieval pipelines using Knowledge Graph RAG, LightRAG and RAPTOR, supported by Neo4j and pgvector
- Set prompt and intent rules to prevent workflow conflicts, and turn subject-matter expertise into automated agent solutions
- Guide technical delivery while coding, coordinating with UI and API teams on end-to-end platform integrations
What you bring
- At least ten years in software engineering, with five or more spent delivering AI and machine learning in production
- Two or more years of hands-on generative AI work covering LLM development, RAG and prompt engineering
- At least three years guiding technical teams and delivering complex software or AI platforms end to end
- Practical AWS experience for AI and machine learning workloads, plus a portfolio of AI systems used in live business settings
- A bachelor's or master's degree in computer science, data science, AI or a related discipline
Who this fits
This senior player-coach role suits an engineer who can code while setting technical direction and leading delivery. It is hybrid in Canada, with three office days and two remote days each week.
From the employer
Citi is hiring an AI Lead Engineer, Technical Lead to build and shape the engineering foundation of its Services AI Platform, a multi-tenant, production-grade ecosystem where agentic AI meets enterprise scale. This player-coach role combines hands-on coding with technical direction, giving you ownership over a platform built for trust, resilience, and scalability. You will turn complex enterprise workflows into intelligent, automated systems that deliver measurable impact across Citi's global operations.
Responsibilities
- Build full-stack AI platform components using Python and Angular, including large language model fine-tuning interfaces and experiment tracking dashboards.
- Design and optimize multi-tenant intelligent agents using modular orchestration patterns such as ReAct and ReWOO to power scalable, production-ready agentic workflows.
- Build Model Context Protocol servers that enforce clean, decoupled communication layers so agents interact only through defined API boundaries.
- Develop advanced 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 accurate handling of agent instructions.
- Partner with subject matter experts to translate domain knowledge into automated, agent-driven solutions.
- Collaborate with UI and API teams to deliver seamless end-to-end integrations across the platform.
Required Qualifications & Skills
- 10 or more years of software engineering experience, including 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 end-to-end delivery of complex software or AI platforms.
- Deep practical experience with AWS infrastructure and services for AI and machine learning workloads.
- A demonstrated portfolio of AI solutions deployed into live business environments, showing both technical depth and delivery ownership.
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------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Primary Location Full Time Salary Range:
$120,800.00 - $170,800.00------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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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