Generative AI Platform Onboarding Lead at Citi

Mississauga, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

24 Mar, 26

Salary

0.0

Posted On

24 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Systems Architecture, Data Processing, AI/ML, DevOps, Large Language Models, Prompt Tuning, Automated Testing, Containerization, CI/CD Pipelines, Microservices Architecture, API Design, Data Storage Solutions, Problem Solving, Leadership, Mentorship

Industry

Financial Services

Description

Design and architect end-to-end platform that integrate with GenAI technologies with a focus on scalability, reliability, and performance. This role involves streaming the onboarding and configuration process for integrating applications onto the newly developed Intelligent Document Processing platform Increase the accuracy of the platform for all onboarding workflows Good understanding of RAG based implementation and commercial Large Language Models Implement best DevOps practices, including CI/CD pipelines, automated testing, and containerization (Docker, Kubernetes) to streamline development and deployment processes. Allocate work, and act as an advisor/coach developers, analysts, and new team members. Manage Book of Work deliverables and ensure goals are met. Manage risk to the goals with timely mitigation. Manage change in priorities and pivot team quickly to deliver on change in priorities. Influence and negotiate with senior leaders and communicate with external parties. 10+ years of industry experience in systems architecture with a Data processing, AI/ML, & DevOps focus. Proven experience with improving LLM performance via few shot examples, and prompt chaining in addition to prompt tuning. Proven experience with raising and ensuring we meet the bar of expected accuracy with LLMs Work with MRM team to ensure all metrics for LLM usecase are captured accurately and the standards set by MRM Proficiency in AI/ML frameworks (e.g., Langchain) & experience with GenAI tech. Experience in building applications that apply large language models and GenAI to search, chat agents, and guided analytics. Strong, working knowledge of DevOps tools (e.g., Jenkins, GitLab, Docker, Kubernetes) and Infrastructure as Code (IaC) practices. Understanding of software development practices, microservices architecture, & API design. Experience with data storage solutions (e.g., NoSQL, SQL, data lakes) and pipeline orchestration. Excellent analytical and problem-solving skills with the ability to analyze and troubleshoot technical issues and provide innovative solutions. Demonstrated leadership and project management skills. Demonstrated experience leading team of developers and ensuring development standards Demonstrated problem solving experience in areas of performance improvement and/or data analysis for inconsistencies. Strong communication, collaboration, and mentorship skills- with the ability to articulate technical concepts to non-technical stakeholders. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ ------------------------------------------------------ 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. 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. ------------------------------------------------------

Responsibilities

Design and architect an end-to-end platform integrating GenAI technologies, focusing on scalability and performance. Streamline the onboarding and configuration process for applications on the Intelligent Document Processing platform.