Specialized Analytics Ld Anlst - C13 - BANGALORE

Citigroup; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Citi seeks an experienced AI Engineer to design, develop, and deploy enterprise-grade AI solutions for Third-Party Management risk assessment and governance. You will build AI-powered copilots, knowledge repositories, and scalable Python backends, collaborating with data engineers and governance teams.

The role emphasizes production-ready code, multi-agent workflows, and alignment with enterprise standards. Office-based with global collaboration.

Qualifications

• Bachelor's degree in computer science, engineering, mathematics, or related discipline (Master's preferred).
• Significant experience in software engineering, AI engineering, analytics, or data science.
• Strong Python programming skills.
• Experience building REST APIs and backend applications.
• Knowledge of SQL and data engineering concepts.
• Experience with cloud platforms and enterprise app development.
• Strong problem-solving and stakeholder management skills.
• Excellent written and verbal communication.

Responsibilities

• Design and build enterprise AI applications using LLMs, RAG, and agentic architectures.
• Develop AI copilots, knowledge assistants, workflow automation, and decision-support tools.
• Build reusable AI services, APIs, and components for enterprise adoption.
• Develop multi-agent workflows for complex business processes.
• Design enterprise knowledge repositories using vector databases and knowledge graphs.
• Build document ingestion, metadata extraction, semantic search, and retrieval pipelines.
• Ensure AI solutions comply with governance, security, and model risk requirements.
• Mentor junior engineers and promote AI engineering best practices.

Skills

Python programming

REST APIs

SQL

Cloud platforms

Stakeholder communication

Education

Bachelor's degree in CS/Engineering/Mathematics

Master's degree preferred

Tools

PostgreSQL

Neo4j

Redis

FastAPI

Docker

Kubernetes

CI/CD

OpenAI APIs

Google ADK

Job description

We are looking for an experienced AI Engineer to design, develop, and deploy enterprise-grade AI solutions that transform how Third-Party Management teams assess, monitor, and manage supplier and vendor risks. This role combines software engineering, AI engineering, analytics, and product development to build intelligent applications that improve operational efficiency, decision quality, and user experience. The successful candidate will partner closely with business stakeholders, data engineers, technology teams, and AI governance partners to deliver scalable AI capabilities aligned with enterprise standards.

Key Responsibilities

AI Solution Development

• Design and build enterprise AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI architectures.
• Develop AI-powered copilots, knowledge assistants, workflow automation, and decision-support tools.
• Build reusable AI services, APIs, and components for enterprise adoption.
• Develop multi-agent workflows for complex business processes.

Knowledge Engineering

• Design enterprise knowledge repositories using vector databases and knowledge graphs.
• Build document ingestion, metadata extraction, semantic search, and retrieval pipelines.
• Improve retrieval quality through evaluation and continuous optimization.
• Ensure knowledge assets remain governed, traceable, and reusable.

Software Engineering

• Build scalable Python-based backend services and APIs.
• Develop modern web applications using enterprise UI frameworks.
• Integrate AI services with internal data platforms and enterprise applications.
• Write clean, modular, and production-ready code.

AI Governance

• Ensure AI solutions comply with enterprise governance, security, and model risk requirements.
• Support model evaluation, monitoring, auditability, and explainability.
• Collaborate with AI governance teams on documentation and deployment approvals.

Collaboration

• Partner with business stakeholders to understand challenges and identify AI opportunities.
• Work closely with technology, architecture, cybersecurity, and data engineering teams.
• Support production deployment and operationalization of AI solutions.
• Mentor junior engineers and contribute to AI engineering best practices.

Required Qualifications

• Bachelor's degree in computer science, Engineering, Mathematics, or related discipline. Master's degree preferred.
• Significant experience in software engineering, AI engineering, analytics, or data science.
• Strong Python programming skills.
• Experience building REST APIs and backend applications.
• Knowledge of SQL and data engineering concepts.
• Experience working with cloud platforms and enterprise application development.
• Strong problem-solving and stakeholder management skills.
• Excellent written and verbal communication.

Preferred Qualifications

Experience in one or more of the following:

• LLM application development
• Retrieval-Augmented Generation (RAG)
• Agentic AI frameworks
• Prompt engineering
• Vector databases
• Knowledge Graphs
• AI orchestration frameworks
• Enterprise AI platforms
• Model evaluation frameworks
• MLOps or LLMOps
• Kubernetes
• CI/CD
• Banking, financial services, or risk management

Technical Skills

Programming

• Python
• SQL
• JavaScript/TypeScript (preferred)

AI & Machine Learning

• LLM applications
• RAG
• Embeddings
• Prompt engineering
• AI Agents
• NLP

Frameworks

• Google ADK
• OpenAI APIs
• Model Context Protocol (MCP)

Data Technologies

• PostgreSQL
• Vector databases
• Knowledge Graphs
• Neo4j
• Redis

Engineering

• FastAPI
• REST APIs
• Git
• Docker
• Kubernetes
• CI/CD

Leadership Expectations

• Demonstrate ownership from concept through production deployment.
• Drive innovation while maintaining engineering excellence.
• Communicate effectively with technical and non-technical stakeholders.
• Promote responsible AI practices and continuous learning.
• Foster collaboration across global, cross-functional teams.

-Working Environment: office setting, minimal travel required.

- Effort: minimal physical effort required.

Job Family Group: Decision Management

Job Family: Specialized Analytics (Data Science/Computational Statistics)

Time Type: Full time

Most Relevant Skills: Please see the requirements listed above.

Other Relevant Skills: For complementary skills, please see above and/or contact the recruiter.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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