Risk Modeling Solutions - Full-stack GenAI - Assistant Vice President

Citi · Bengaluru · 7+ yrs experience · Posted 2026-07-18

Tech stack: AWS, Azure, Docker, FastAPI, GCP, Kubernetes, Python

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About the role

Full-Stack Gen AI Lead Engineer – Model/Anlys/Valid Sr Analyst (C12) The AI Lab is the engineering core of our Risk Modeling Solutions (RMS) team, focused on integrating Gen AI solutions into our risk management framework. The team is responsible for building and deploying practical, high-impact applications that combine deep quantitative analysis with cutting-edge AI. These solutions enhance analytical decision-making, automate complex reporting, and create significant operational efficiencies for the business.
Responsibilities: - Full-Stack Gen AI Lead Engineer
- Model/Anlys/Valid Sr Analyst (C12) The AI Lab is the engineering core of our Risk Modeling Solutions (RMS) team, focused on integrating Gen AI solutions into our risk management framework.
- The team is responsible for building and deploying practical, high-impact applications that combine deep quantitative analysis with cutting-edge AI.
- These solutions enhance analytical decision-making, automate complex reporting, and create significant operational efficiencies for the business.
Qualifications: - 7+ years of professional experience in a role blending software development and data science/machine learning.
- Expert-level Python development skills and a proven track record of designing and building scalable backend services and APIs (FastAPI preferred).
- Deep, hands-on experience designing and building solutions with multiple agentic frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel).
- Extensive experience architecting and optimizing RAG systems and integrating with vector databases (e.g., OpenSearch, Pinecone, Weaviate).
- Proven expertise in designing and deploying containerized (Docker/Kubernetes) AI systems on a major cloud platform (AWS, Azure, or GCP).
- Strong experience implementing MLOps principles, including CI/CD, observability, and evaluation frameworks for LLM-based systems.
- In-depth understanding of AI risk, safety, and enterprise governance requirements.
- Strong background in ML, deep learning, and NLP, including Transformer architectures.
- leading the design of LLM evaluation harnesses for automated release validation.
- Deep experience with Langfuse or similar AI observability and tracing platforms.
- Hands-on expertise with AWS Bedrock, Azure AI Foundry, or GCP Vertex AI.
- of GraphRAG patterns and advanced multi-hop retrieval strategies.
- AWS certifications (e.g., Solutions Architect, AI/ML Specialty) or equivalent.
- Background in financial services or another highly regulated industry.
- Bachelor's degree in Computer Science, Engineering, Business, or a related field.
- This is a Individual contributor role.

Qualifications

- 7+ years of professional experience in a role blending software development and data science/machine learning.
- Expert-level Python development skills and a proven track record of designing and building scalable backend services and APIs (FastAPI preferred).
- Deep, hands-on experience designing and building solutions with multiple agentic frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel).
- Extensive experience architecting and optimizing RAG systems and integrating with vector databases (e.g., OpenSearch, Pinecone, Weaviate).
- Proven expertise in designing and deploying containerized (Docker/Kubernetes) AI systems on a major cloud platform (AWS, Azure, or GCP).
- Strong experience implementing MLOps principles, including CI/CD, observability, and evaluation frameworks for LLM-based systems.
- In-depth understanding of AI risk, safety, and enterprise governance requirements.
- Strong background in ML, deep learning, and NLP, including Transformer architectures.
- leading the design of LLM evaluation harnesses for automated release validation.
- Deep experience with Langfuse or similar AI observability and tracing platforms.
- Hands-on expertise with AWS Bedrock, Azure AI Foundry, or GCP Vertex AI.
- of GraphRAG patterns and advanced multi-hop retrieval strategies.
- AWS certifications (e.g., Solutions Architect, AI/ML Specialty) or equivalent.
- Background in financial services or another highly regulated industry.
- Bachelor's degree in Computer Science, Engineering, Business, or a related field.
- This is a Individual contributor role.

Responsibilities

- Full-Stack Gen AI Lead Engineer
- Model/Anlys/Valid Sr Analyst (C12) The AI Lab is the engineering core of our Risk Modeling Solutions (RMS) team, focused on integrating Gen AI solutions into our risk management framework.
- The team is responsible for building and deploying practical, high-impact applications that combine deep quantitative analysis with cutting-edge AI.
- These solutions enhance analytical decision-making, automate complex reporting, and create significant operational efficiencies for the business.

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