Generative AI Engineer - Vice President Job at Citi (Mississauga)

Senior Generative AI Engineer - Vice President

Job Role - Senior Generative AI Engineer - Vice President. Job Location - Chenna...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

9-15 years hands-on experience as Generative AI Engineer with proven expertise of building and deploying AI agents, LLM integration, RAG pipelines, prompt engineering and the end-to-end MLOps lifecycle. Frameworks like LangChain and AutoGen
Strong command of Python, PyTorch, TensorFlow, and Hugging Face libraries
Hands-on experience with LangChain, LlamaIndex, vector databases, and fine-tuning techniques (LoRA, QLoRA)
Proven ability to integrate AI models into web applications via APIs (OpenAI, Anthropic)
Solid understanding of software engineering best practices, including Git, CI/CD, and Docker
Bachelor's degree/University degree or equivalent experience

Job Responsibility

Manage one or more Applications Development teams
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
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
Ensure essential procedures are followed and contribute to defining standards
Appropriately assess risk when business decisions are made

Fulltime

Generative Ai Senior Engineer (Python/Java) – Vice President

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10 years of relevant experience in Apps Development or systems analysis role
Deep expertise in Large Language Models (LLMs) including OpenAI, Gemini, Claude, Llama, and local/open‑source models
Strong hands‑on experience with Python, FastAPI, async programming, SQL and high‑performance AI APIs
Extensive experience with Gen‑AI frameworks such as LangChain, LangGraph, LlamaIndex, and Hugging Face
Proven experience designing and implementing: Retrieval‑Augmented Generation (RAG) systems
Vector databases (PostgreSQL + pgvector, Pinecone, Weaviate, FAISS, etc.)
Advanced retrieval strategies (hybrid search, re‑ranking, metadata filtering)
Experience with multi‑agent systems, workflow orchestration, and stateful AI applications
Solid grounding in ML/DL concepts, with hands‑on experience using PyTorch and/or TensorFlow, including fine‑tuning and embeddings
Strong understanding of prompt engineering, workflow design, and Gen‑AI optimization (latency, cost, accuracy)

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as 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

Fulltime

Application Production Support Engineer - Generative AI Tools- Assistant Vice President

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field.
8-13 years of experience in application production support or a related role.
Strong understanding of software development lifecycle and DevOps principles.
Experience supporting cloud-based applications, preferably on AWS, Azure, or GCP.
Change Management , Incdient management , Problem Managemet,Stakeholder management
Proficiency in at least one scripting language (e.g., Python, Bash).
Familiarity with monitoring tools (e.g., Datadog, Prometheus, Grafana).
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
A passion for AI and machine learning.

Job Responsibility

Provide front-line technical support: Diagnose and resolve production issues related to our generative AI applications, including performance bottlenecks, API errors, data inconsistencies, and infrastructure problems.
Monitor application health: Utilize monitoring tools and dashboards to track key metrics, identify anomalies, and proactively address potential issues before they impact users.
Incident Management: Follow established incident management procedures to document, escalate, and resolve production incidents, ensuring timely communication with stakeholders.
Collaborate with engineering teams: Work closely with development and infrastructure teams to identify the root cause of issues, implement fixes, and prevent future occurrences.
Develop and maintain documentation: Create and update technical documentation, including runbooks, knowledge base articles, and troubleshooting guides.
Automate support tasks: Identify opportunities to automate repetitive tasks and improve support efficiency through scripting and tooling.
Participate in on-call rotation: Provide on-call support on a rotational basis to ensure 24/7 coverage for critical applications.
Continuous Improvement: Contribute to the continuous improvement of our support processes and tools by identifying areas for optimization and implementing best practices.

Fulltime

Lead Application Development Engineer, Generative AI Products - Senior Vice President

This is your chance to build the foundational systems for 'Citi Assist', a Gener...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Proven experience leading technical projects and mentoring other engineers
Deep, hands-on experience building, deploying, and maintaining production-grade backend services
Strong proficiency in at least one backend language (Python, Java, Go, or TypeScript/Node.js)
Experience architecting and designing scalable, distributed systems
A firm grasp of software design patterns and a commitment to writing clean, testable, and maintainable code
Strong experience with containerised environments (we use OpenShift, but Kubernetes experience transfers well)
Practical experience with CI/CD pipelines and a belief in automating things
Solid experience working with relational databases like Postgres
A hands-on technical leader
A pragmatic builder

Job Responsibility

Lead, code, and deliver
Own critical systems
Shape our technical direction
Champion safety and security
Be a force multiplier
Communicate with purpose

What we offer

Global benefits (general reference only, no specific list provided)

Fulltime

Generative Ai Software Engineer, Technology Strategy – Assistant Vice President

Do you thrive on solving complex problems and building full-stack solutions that...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Strong hands-on experience building applications using LLMs
Experience with Prompt Engineering, RAG architectures, vector databases, agent frameworks, and evaluation techniques
Exposure to frameworks such as LangChain, LangGraph, Google ADK, AutoGen, CrewAI, or similar
Strong proficiency in Python and modern backend development
Experience with TypeScript/JavaScript and modern front-end frameworks such as React
Ability to build end-to-end products from concept through deployment
Experience with Docker, Kubernetes, and cloud-native architectures
Knowledge of AWS, Azure, or GCP services
Familiarity with CI/CD, observability, and production deployment practices
Experience with PostgreSQL and NoSQL databases

Job Responsibility

Take part in design and development of user‑facing capabilities for our Technology Strategy platform and our next generation of AI agents — including the Tech Strategy Assistant and the AI Metrics Assistant

Fulltime

New

Senior Vice President - AI Lead Engineer - Banking Technology

Citi's Banking Technology organization is seeking an exceptional full stack hand...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Deep hands-on experience in engineering and executing scalable enterprise solutions
Expert-level proficiency in Python (e.g., FastAPI, Django, Flask, PySpark)
Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems
Hands-on experience with relevant frameworks (e.g., Google ADK, LanGraph, LangChain, AutoGen, CrewAI, N8N)
Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas)
Proven experience in creating, deploying, and integrating MCPs (Model Context Protocol) into agentic AI systems
Deep familiarity with large language models (LLMs) such as ChatGPT, Claude, Gemini, and Llama, including their application within agentic systems
Demonstrated experience in designing and implementing robust APIs for AI services
Proficient in software development best practices, including version control (Git), CI/CD pipelines, comprehensive testing, and code reviews
Strong understanding of agile methodologies, application resiliency, and security principles applied to complex AI projects

Job Responsibility

Spearhead the end-to-end design, hands-on implementation, and deployment of scalable, robust agentic AI frameworks and generative AI solutions for critical banking use cases, ensuring high performance, reliability, and security
Build full-stack applications that seamlessly integrate state-of-the-art ML/LLM tools and services into comprehensive AI solutions
Champion an MVP-first approach, focusing on rapid iterations, hypothesis testing, and A/B experiments to achieve continuous improvement and quick 'time to value'
Design and implement rigorous metrics and evaluation strategies for AI system and agent performance, driving continuous optimization and behavioral improvement
Proactively explore, prototype (POC), and integrate the latest advancements in AI, particularly in agent-based systems, autonomous AI, and generative AI technologies
Provide hands-on technical leadership, guiding architectural decisions, and fostering collaboration with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate and scale AI solutions across Citi's products and services
Exhibit excellent communication and collaboration skills, effectively engaging with diverse stakeholders

What we offer

Discover the top benefits offered to our global workforce, designed to support your well-being, growth and work-life balance
Learn About Global Benefits

Fulltime

Senior Data Scientist – Gen AI Engineer - Assistant Vice President

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
8–12 years of experience as a Data Scientist or equivalent role, with at least 2 years of specialized, hands-on experience in Generative AI, including leading technical development and mentoring teams.
Demonstrable experience across the full lifecycle of production-level GenAI projects — from ideation and prototyping through deployment, monitoring, and ongoing maintenance in live environments.
Expert-level Python proficiency
Scikit-learn, XGBoost, LightGBM
PyTorch
Hugging Face Transformers, LangChain, LlamaIndex, Semantic Kernel
LangGraph, CrewAI, AutoGen
Transformer architectures
RAG patterns

Job Responsibility

Working with financial and enterprise data, applying modern NLP and GenAI techniques to solve business problems.
Designing, refining, and systematizing prompt engineering strategies for large language models (LLMs), including structured prompting, chain-of-thought, and few-shot/zero-shot approaches.
Collaborating with business stakeholders to translate requirements into GenAI-powered solutions.
Developing, testing, and maintaining production-grade Python code for GenAI applications.
Integrating with vector databases (e.g., Pinecone, Weaviate, Milvus, pgvector, Qdrant) for retrieval-augmented generation (RAG) pipelines.
Building, monitoring, and optimizing MLOps/LLMOps pipelines for continuous model deployment and observability.
Researching and evaluating emerging GenAI technologies, frameworks, and best practices to maintain competitive advantage.
Troubleshooting and debugging GenAI models and agentic systems in production, including rapid identification and resolution of issues in real-world deployments.
Communicating complex AI/ML concepts clearly to non-technical stakeholders, translating technical jargon into actionable business terms.
Participating in and leading team meetings, design reviews, and architecture discussions.

Fulltime

Principal AI Engineer Senior Vice President

The Principal AI Engineer / SVP is a senior leader responsible for defining and ...

Location

India , Bengaluru

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

14+ years of extensive experience across analytics consulting, AI Product development, AI/ML, GenAI research, GenAI projects development and production experience
World-class expertise in building GenAI led business solves, with a proven track record of designing and delivering business solutions, platforms, Products
Deep and authoritative knowledge of Generative AI, including LLMs, and extensive experience architecting and working with technology teams in building complex, production-grade Agentic solutions
Ability to define and articulate new architectural options and strategies to solve complex business and technical problems
Recognized thought leader in AI, with experience in influencing and driving technical direction across a large enterprise
Exceptional leadership and mentoring capabilities, with experience developing senior-level technical talent
Deep understanding of the financial services domain, including regulatory, compliance, and security challenges
Deep exposure to Agentic frameworks, AgentOps Tools, vector databases, container orchestration, API management, Foundation models, Fine Tuning frameworks, Parameter Efficient methods, Knowledge Graphs, retrieval frameworks and embedding models
Hands on experience with GenAI tech stack – Knowledge management, Chunking strategies, Intent algorithms, RAG strategies, Hybrid search algorithms, Fusion and ranking, attribution
Bachelor's/University degree

Job Responsibility

Define and own the long-term vision and strategy for Generative AI and Agentic systems across the business unit, ensuring alignment with business goals and future growth
Lead the research, design, and prototyping of next-generation AI platforms and "first-of-a-kind" capabilities, establishing new patterns for the organization
Act as the lead solution architect for the most complex and critical AI initiatives, ensuring solutions are built for scale, with the highest standards of reliability, security, and performance
Set the technical standards for AI development, including frameworks, tools, MLOps, and Model Governance, influencing teams across the organization
Mentor and develop senior technical talent (Lead and Senior Engineers), acting as a "force multiplier" to elevate the technical capabilities of the entire department
Lead and scale a multi-tiered organization of AI professionals, setting the vision, managing budget, and representing the AI function at the senior executive level
Serve as the primary technical advisor to senior leadership on all matters related to AI, including opportunities, risks, and competitive landscape
Drive a culture of innovation, experimentation, and technical excellence

Fulltime

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Generative AI Engineer - Vice President

Job Description

Job Responsibility

Requirements

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