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

Senior Java Engineer – Agentic AI Driven Development - Senior Vice President

The Applications Development Technology Senior Lead Analyst is a senior-level po...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Core Java - Strong understanding of Java (JDK 8+, preferably Java 11/17), including multithreading, collections, garbage collection, and JVM internals
Frameworks - Extensive experience with Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Security)
Middleware - Proven experience in designing and developing RESTful APIs and microservices
Relational Databases - Strong proficiency in SQL and experience with Oracle databases, including schema design, query optimization, and stored procedures
NoSQL Databases - Experience with MongoDB, including data modeling, querying, and performance tuning
CI/CD & DevOps - Hands-on experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, GitHub Actions, Maven/Gradle, Docker, Kubernetes)
Version Control - Proficiency with Git and standard branching strategies (e.g., Gitflow)
Testing - Experience with unit testing frameworks (JUnit, Mockito) and integration testing
Web Technologies (Beneficial) - Familiarity with web services (SOAP/REST), XML, JSON
AI Tools & Methodologies - Demonstrable exposure and practical experience with AI development tools such as Devin, GitHub Copilot, Claude, Anti Gravity, and Codex

Job Responsibility

Lead the design, development, and implementation of complex middleware applications using Java and Spring Boot
Architect and optimize database interactions with Oracle, SQL, and MongoDB, ensuring high performance and data integrity
Drive the adoption and continuous improvement of CI/CD pipelines to facilitate rapid and reliable software delivery
Collaborate with cross-functional teams, including product management, QA, and operations, to define requirements, design solutions, and deliver high-quality software
Mentor and provide technical guidance to junior and mid-level software engineers, fostering a culture of technical excellence and continuous learning
Actively research and experiment with AI technologies to identify opportunities for enhancing developer productivity, automating tasks, and improving software quality
Participate in code reviews, ensuring adherence to coding standards, best practices, and architectural guidelines
Troubleshoot and resolve complex technical issues, ensuring the stability and performance of production systems
Contribute to the strategic planning and technical roadmap for our middleware platforms
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, and model development

What we offer

Discover the top benefits offered to our global workforce, designed to support your well-being, growth and work-life balance. Explore a few of the highlights that make working with us rewarding.

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

Digital Software Engineer Senior Manager - Vice President

The Digital S/W Engineer Sr Mgr accomplishes results through the management of p...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

11-17 years of relevant experience in an Apps Development role or senior level experience in an Enterprise Architecture role with subject matter expertise in one or more areas with at least 3+ years of deep specialization in AI/ML, NLP, or Generative AI development
Proven experience in successfully building, leading, and delivering complex technology projects from conception through to deployment and ongoing support
Proven experience in leading high performance teams spread across multiple locations
Effectively coach and give feedback to direct reports to help develop talent and support career development
2+ years of experience building and operating production-grade AI systems such as digital assistants, recommendation engines, or similar intelligent platforms
2+ years of deep, applied experience with LLM technologies (GPT-4, Claude, Gemini, or equivalent), including prompt engineering, fine-tuning, and cost optimization in production environments
Hands-on expertise in implementing Retrieval-Augmented Generation (RAG) pipelines and working with vector databases for knowledge-grounded AI applications
Demonstrable experience in designing and deploying agentic AI workflows and multi-agent systems using modern frameworks
Proficiency in NLP model development using industry-standard libraries and ML frameworks
Expert-level Python development skills with strong command of RESTful APIs, microservices architecture, and cloud platforms

Job Responsibility

Accountable for executing and driving enterprise grade application design and development efforts to completion, serving as a development lead
Proficient at operating with considerable autonomy and significantly influence the way an application is designed and developed by providing subject specific expertise and an advanced level of understanding of application programming principles
Participate in design discussions as a Development Lead and play the part of a key decision maker in driving design decisions
Partner with industry vendors that provide technology or user experience design components that support our Digital architecture and work with vendors on our implementation plans and roadmaps identifying partnership opportunities to increase our development velocity and our learnings
Directly impact the business by influencing strategic functional decisions through advice, counsel or provided services
This will require persuading and influencing others through strong and comprehensive communication and diplomacy skills
Communicate progress, anticipate bottlenecks, provide escalation management, identify, assess, track and mitigate issues/risks at multiple levels
Regularly review metrics and proactively seek out new and improved mechanisms for visibility ensuring your program stays aligned with organization objectives
Share knowledge with the team in various forums (brown bags, engineering forums etc.) and demonstrate a higher level of knowledge through industry certifications
Integrate LLMs for conversational understanding and response generation

Fulltime

Full Stack Engineer - AI Enabled – Senior Vice President

Citi is looking for a highly skilled and innovative Full Stack Engineer with a s...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field
Significant hands-on experience in full-stack software development
Proven experience in designing and building scalable, high-performance microservices
Demonstrated experience with event-driven architectures (e.g., Kafka, RabbitMQ)
Solid experience with modern front-end frameworks, specifically Angular
Experience with AI technologies, including machine learning, natural language processing, or other AI domains
Specific experience with agentic AI development, including designing, building, and deploying intelligent agents for business applications
Expert proficiency in Java and TypeScript/JavaScript
Strong expertise in Java development, including Spring Boot, Spring Cloud
Extensive experience with microservices architecture principles and patterns

Job Responsibility

Design, develop, and maintain high-performance, scalable, and secure full-stack applications using Java, Angular, microservices, and event-based architectures
Lead the integration of AI capabilities into existing and new applications, focusing on creating and deploying agentic AI solutions for various business use cases
Collaborate with data scientists, AI researchers, product managers, and other engineering teams to translate business requirements and AI models into production-ready software
Architect and implement microservices and event-driven systems that are resilient, fault-tolerant, and performant
Develop front-end user interfaces using Angular, ensuring an intuitive and responsive user experience
Contribute to the entire software development lifecycle, including requirements gathering, design, coding, testing, deployment, and operational support
Promote and implement best practices in software engineering, including code quality, testing, CI/CD, security, and documentation
Stay abreast of emerging technologies and trends in full-stack development, AI, and agentic systems, recommending and implementing innovative solutions
Mentor junior developers and actively participate in code reviews, fostering a culture of technical excellence and continuous learning

What we offer

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
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

New

Senior Gen AI Engineer - Vice President

The Digital S/W Engineer Sr Mgr accomplishes results through the management of p...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

11–16 years of experience in application development or enterprise engineering roles
Strong hands-on expertise in Java, Microservices, and REST APIs
Expert-level proficiency in Python (mandatory)
2+ years of hands-on experience with AI/ML, LLMs (e.g., GPT, Claude, Gemini)
Experience with RAG, prompt engineering, and vector databases
Familiarity with agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI)
Full-stack development experience with modern frontend frameworks (e.g., React.js/Angular)
Strong understanding of system design, distributed systems, and cloud platforms
Experience with SQL/NoSQL databases and real-time data processing
Exposure to MLOps practices including deployment, monitoring, and lifecycle management

Job Responsibility

Lead the design and development of scalable, enterprise-grade conversational AI and agentic systems for real-time customer interaction use cases
Build and optimize AI/ML solutions including LLM-powered workflows
Develop and implement RAG pipelines and knowledge-based AI integrations
Design and deploy multi-agent systems for complex business use cases
Apply prompt engineering and optimize LLM performance, cost, and accuracy
Build intelligent automation solutions for customer journeys and digital workflows
Integrate AI capabilities into existing enterprise platforms and architectures
Collaborate with cross-functional teams to deliver end-to-end solutions
Ensure system scalability, reliability, and performance in production environments
Drive best practices in architecture, coding standards, and AI implementation

Fulltime

Senior GenAI Specialist / AI Engineer - Assistant Vice President

We are seeking a highly skilled and passionate Senior GenAI Specialist to join o...

Location

Canada , Mississauga

Salary:

94300.00 - 141500.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

5 years+ of experience in AI/ML development, with a proven track record of building and deploying sophisticated GenAI applications
Deep understanding of GenAI models and architectures, including transformers, LLMs (e.g., Llama, Gemini, GPT-4), GANs, and diffusion models. Familiarity with Agentic AI concepts
Extensive experience with prompt engineering, fine-tuning LLMs, and evaluating their performance
Expert-level Python programming skills and proficiency with relevant libraries (e.g., Transformers, LangChain, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, LlamaIndex)
Experience with vector databases (e.g., Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions) and implementing RAG pipelines using tools like LlamaIndex and LangChain
Strong software engineering skills, including containerization (Docker, Kubernetes), CI/CD pipelines, and cloud infrastructure management (AWS, Azure, GCP)
Strong analytical, problem-solving, and communication skills
Experience with MLOps principles and tools
Excellent collaboration skills

Job Responsibility

Design, develop, and implement GenAI solutions for various financial applications, including personalized recommendations, risk assessment, fraud detection, and automated reporting. Explore and experiment with advanced GenAI concepts like Agentic AI
Design and implement intelligent chatbots
Process and analyze large datasets of structured and unstructured financial data
Architect and implement efficient RAG pipelines, leveraging tools like LlamaIndex and LangChain
Develop and refine advanced prompting strategies for LLMs
Test, evaluate, and analyze the performance of LLM and other GenAI models
Collaborate closely with engineering teams to deploy and maintain GenAI models in production environments, including containerization, CI/CD pipelines, and cloud infrastructure management
Communicate effectively with business stakeholders
Stay up-to-date with the latest advancements in GenAI research and development, including areas like Agentic AI

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

Senior Java Engineer – Agentic AI Driven Development - Vice President

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Core Java: Strong understanding of Java (JDK 8+, preferably Java 11/17), including multithreading, collections, garbage collection, and JVM internals
Frameworks: Extensive experience with Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Security)
Middleware: Proven experience in designing and developing RESTful APIs and microservices
Relational Databases: Strong proficiency in SQL and experience with Oracle databases, including schema design, query optimization, and stored procedures
NoSQL Databases: Experience with MongoDB, including data modeling, querying, and performance tuning
CI/CD & DevOps: Hands-on experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, GitHub Actions, Maven/Gradle, Docker, Kubernetes)
Version Control: Proficiency with Git and standard branching strategies (e.g., Gitflow)
Testing: Experience with unit testing frameworks (JUnit, Mockito) and integration testing
Demonstrable exposure and practical experience with AI development tools such as Devin, GitHub Copilot, Claude, Anti Gravity, and Codex
Strong understanding of AI/ML concepts, prompt engineering, and integrating AI into software development workflows (e.g., for code generation, testing, debugging, and documentation)

Job Responsibility

Lead the design, development, and implementation of complex middleware applications using Java and Spring Boot:Utilize AI-powered code generation tools (e.g., Devin, Copilot, Codex) to accelerate development, automate boilerplate code, suggest optimal implementations, and enforce architectural patterns. Leverage AI for design pattern identification and complex system architecture validation
Architect and optimize database interactions with Oracle, SQL, and MongoDB, ensuring high performance and data integrity: Employ AI to analyze database query performance, suggest advanced indexing strategies, optimize schema designs, and generate efficient SQL/NoSQL queries. AI-driven tools can also assist in predicting database load and recommending scaling solutions
Drive the adoption and continuous improvement of CI/CD pipelines to facilitate rapid and reliable software delivery: Integrate AI into CI/CD processes for intelligent test case generation, predictive failure analysis, automated code vulnerability scanning, and optimization of pipeline execution times based on historical data
Collaborate with cross-functional teams, including product management, QA, and operations, to define requirements, design solutions, and deliver high-quality software:Use AI-powered communication and summarization tools (e.g., Claude) to streamline requirement gathering, document analysis, and stakeholder communication. AI can also assist in translating technical designs into accessible formats for various audiences
Mentor and provide technical guidance to junior and mid-level software engineers, fostering a culture of technical excellence and continuous learning: Leverage AI platforms for personalized learning paths, automated code feedback, and explanations of complex technical concepts. Encourage junior engineers to adopt AI-driven development practices
Actively research and experiment with AI technologies to identify opportunities for enhancing developer productivity, automating tasks, and improving software quality. Continuously explore emerging AI tools and techniques (such as Anti Gravity for complex problem-solving) and assess their applicability to our development ecosystem
Participate in code reviews, ensuring adherence to coding standards, best practices, and architectural guidelines: Utilize AI-powered code analysis tools to pre-scan code for potential bugs, security vulnerabilities, performance bottlenecks, and style deviations, allowing human reviewers to focus on higher-level logic and design
Troubleshoot and resolve complex technical issues, ensuring the stability and performance of production systems. Implement AI-driven anomaly detection in monitoring systems, leverage AI for rapid log analysis and root cause identification, and automate incident response workflows
Contribute to the strategic planning and technical roadmap for our middleware platforms: Employ AI to analyze industry trends, forecast technology evolution, assess the impact of new features, and prioritize roadmap initiatives based on data-driven insights
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, and model development: Utilize AI for data synthesis, predictive modeling for estimations, identification of potential IT risks, and accelerated model prototyping and validation

Fulltime

Select Country

Senior AI/ML Engineer - Vice President

Requirements

Looking for more opportunities?