Senior Generative AI Engineer - Vice President Job at Citi (Chennai)

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

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

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

Principal AI Software Engineer, Senior Vice President

Are you looking for a career move that will put you at the heart of a global fin...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Exceptional Python Expertise: Demonstrated mastery of core Python, including advanced features, performance optimization, and a deep understanding of the FastAPI framework
Prior hands-on experience with Generative AI, Large Language Model (LLM) frameworks (e.g. LangChain, LlamaIndex), and their application in enterprise environments is a must. This must be underpinned by a profound understanding of core machine learning principles, algorithms, and data science methodologies
Full Lifecycle Ownership: Extensive hands-on experience and technical authority throughout the entire software development lifecycle, from conceptualization and design to implementation, deployment, and operational ownership of enterprise software solutions, involving significant cross-functional collaboration
Strategic System Design: Significant hands-on experience in architecting and designing (architecture, design patterns, reliability, scaling) highly complex new and current systems with broad technical impact
Hands-on expertise with containerized deployment technologies (e.g. Kubernetes, OpenShift, Docker) and orchestration strategies
Hands-on experience and in-depth understanding of C++ is a significant bonus, particularly for complex code analysis, parsing, and integration into knowledge graph structures

Job Responsibility

Architect and implement cutting-edge software systems, defining the technical design for our AI solutions to ensure scalability, performance, and reliability
Drive the hands-on design, implementation, and deployment of sophisticated systems that automate the analysis of data, code, and documentation
Apply deep expertise to structure extracted knowledge within a Credit Risk Domain-aware knowledge graph, including advanced strategies for effectively modelling complex codebases, particularly C++, within this graph
Act as a critical technical partner with data scientists, business analysts, and other engineering teams to translate challenging business requirements into robust technical solutions and ensure successful, high-quality project delivery
Tackle the most complex technical challenges within our AI initiatives, providing solutions that set the standard for engineering excellence

What we offer

Generous holiday allowance starting at 27 days plus bank holidays
increasing with tenure
A discretional annual performance related bonus
Private medical insurance packages to suit your personal circumstances
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

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

Lead AI Engineer, Banking Technology - Senior Vice President

We are seeking an AI‑first Lead AI Engineer to define, architect, and deliver en...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of progressive software engineering experience with sustained hands‑on contributions.
3+ years of dedicated experience in AI, LLM‑based systems, and agentic architectures.
Proven success architecting and delivering multiple enterprise‑scale AI solutions into production.
Expert‑level proficiency in Python and/or Java (Spring Boot)
solid experience with JavaScript/TypeScript (Angular, Node.js).
Deep knowledge of AI fundamentals (knowledge representation, automated planning, decision‑making under uncertainty, multi‑agent systems).
Extensive hands‑on experience with LLM platforms (OpenAI, Anthropic, Google), RAG pipelines, MCPs, and agent frameworks (Google ADK).
Demonstrated effectiveness with AI coding tools (Devin, Claude Code, GitHub Copilot, Antigravity).
Strong experience with ML frameworks (TensorFlow, PyTorch) and data science libraries.
Proven ability to design and expose robust, scalable APIs for AI services.

Job Responsibility

Lead integration of functions to meet goals, deploy new products, and enhance processes
Analyze complex business processes, system processes, and industry standards to define and develop solutions to high level problems
Provide expertise in area of advanced knowledge of applications programming and plan assignments involving large budgets, cross functional project, or multiple projects
Develop application methodologies and standards for program analysis, design, coding, testing, debugging, and implementation
Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals
Consult with end users to identify system function specifications and incorporate into overall system design
Allocate work, and act as an advisor/coach developers, analysts, and new team members
Influence and negotiate with senior leaders and communicate with external parties
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.
Lead the design, hands‑on implementation, and deployment of scalable agentic AI and generative AI solutions for high‑impact business use cases.

Fulltime

Senior AI Engineer, Banking Technology – Vice President

Citi’s Banking Technology organization is seeking a highly hands-on Senior AI En...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6–10 years of progressive software engineering experience with a strong hands‑on coding background
2+ years focused on AI software development, LLM‑based solutions, agentic systems, and/or machine learning
Demonstrated experience delivering enterprise‑scale AI capabilities into production
Strong proficiency in Python and/or Java (Spring Boot)
working knowledge of JavaScript/TypeScript (Angular, Node.js). Full‑stack experience is a plus
Solid understanding of core AI concepts such as knowledge representation, planning, and multi‑agent systems
Hands‑on experience with LLMs, RAG, prompt engineering, MCPs, and agent frameworks (e.g., Google ADK)
Practical experience with ML frameworks and libraries (TensorFlow, PyTorch, Scikit‑learn, NumPy, Pandas)
Familiarity with AI coding tools such as Devin, GitHub Copilot, and Antigravity
Strong grounding in modern engineering practices including Git, CI/CD, testing, code reviews, agile delivery, application resiliency, and security

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
Design, implement, and deploy scalable agentic AI frameworks and generative AI solutions for critical business use cases, ensuring robustness, performance, security, and reliability
Develop and integrate agentic AI systems leveraging multiple model providers and platforms (e.g., OpenAI, Anthropic, Google APIs)

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

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Senior Generative AI Engineer - Vice President

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