AI Engineer, Citi - Job Offer

Citi

Location:
India, Bengaluru

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are seeking a highly skilled and experienced AI Engineer to develop and implement Artificial Intelligence (AI) agents across our MIS reporting lifecycle. This role involves hands-on development and technical contribution to transforming our reporting capabilities, leveraging advanced AI and machine learning techniques to automate, optimize, and enhance every stage from requirement understanding to dashboard deployment. The successful candidate will be instrumental in building robust, scalable, and intelligent reporting solutions for Citi's USPB Business.

Job Responsibility:

Design, develop, and implement AI agents capable of understanding reporting requirements, sourcing data, performing analysis, generating reports, and creating dashboards
Select and integrate appropriate AI/ML models, algorithms, and frameworks (e.g., Natural Language Processing for requirement understanding, machine learning for data anomaly detection, generative AI for report generation)
Develop robust data pipelines and integration strategies for various internal and external data sources
Implement AI-driven solutions for automated data extraction, transformation, and loading (ETL) processes
Automate report generation, dynamic dashboard creation, and data visualization using AI agents
Ensure agents can adapt to evolving reporting requirements and data structures
Support the deployment, monitoring, and maintenance of AI agents in production environments
Ensure the scalability, reliability, security, and performance of deployed AI solutions
Contribute to continuous integration/continuous deployment (CI/CD) pipelines for AI agent development
Collaborate closely with business analysts, data engineers, data scientists, and reporting specialists to translate business needs into technical solutions
Actively participate in technical design discussions and code reviews
Stay abreast of emerging AI technologies, machine learning advancements, and industry best practices
Adhere to best practices for AI agent development, including code quality, documentation, testing, and version control
Ensure compliance with regulatory requirements and internal governance standards for AI/ML solutions in the financial sector

Requirements:

Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field
10+ years of progressive experience in software development, data science, or AI/ML engineering roles
5+ years of experience specifically in designing, developing, and deploying AI/ML solutions in a production environment
Proven experience leading technical teams and projects, with a strong track record of successful AI/ML project delivery
Demonstrated expertise in the full lifecycle of reporting, from requirements gathering to dashboard deployment, preferably within financial services
Proficiency in Python for data automation, API integration, and orchestration of AI agent workflows
Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, or Semantic Kernel for building intelligent agent pipelines
Strong SQL and data engineering skills — ability to query, transform, and validate data across platforms like Teradata, Big Data, and SQL Server
Familiarity with Generative AI / LLM APIs (e.g., OpenAI, Anthropic, Azure OpenAI) including prompt design, function calling, and output evaluation
Experience in RAG (Retrieval-Augmented Generation) and vector database integration (e.g., ChromaDB, Pinecone, FAISS) for knowledge retrieval
Automation and orchestration expertise using Python scripts, APIs, RPA, or workflow tools to execute end-to-end MIS reporting tasks
Knowledge of visualization/reporting tools such as Tableau, Power BI, or Excel automation frameworks
Experience with cloud and container technologies (e.g., AWS, Azure, Docker) for deploying and scaling AI agent solutions
Version control and collaboration tools (e.g., GitHub, GitLab, GitHub Copilot) for developing, testing, and maintaining agentic solutions
Deep understanding of MIS reporting processes, financial data, and banking operations
Experience working in a highly regulated industry, preferably financial services
Exceptional analytical and problem-solving abilities
Strong leadership, communication, and interpersonal skills, with the ability to articulate complex technical concepts to non-technical stakeholders
Proven ability to manage multiple priorities and deliver results in a fast-paced environment

Additional Information:

Job Posted:
November 11, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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