Generative AI Solutions Architect

Riskdata Consulting; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Riskdata Consulting seeks an experienced Generative AI Engineer/Technical Lead to design and build enterprise AI solutions, focusing on Generative AI, LLMs, RAG, AI agents and financial document intelligence. You will guide architecture and drive delivery across teams.

You will develop scalable backend services in Python using FastAPI, orchestrate retrieval and vector DB tech, integrate multiple LLM platforms, and mentor engineers to ensure robust, secure AI systems in production.

Qualifications

• 8+ years of software engineering experience, including Generative AI
• Strong Python backend development experience
• Experience with RAG, LLM and AI-agent based applications
• Hands-on experience with LangChain, LangGraph or equivalent frameworks
• Knowledge of vector databases, embeddings and semantic search
• Experience with Weaviate, Pinecone, Qdrant or similar
• Experience with OpenAI, Claude, Llama or AWS Bedrock
• Experience with FastAPI, REST APIs, microservices and scalable backend systems
• Good knowledge of SQL, PostgreSQL, MongoDB and Redis
• Experience with AWS, Docker, Kubernetes and CI/CD
• Knowledge of AI evaluation, prompt engineering, guardrails and security
• Strong analytical, problem-solving and communication skills

Responsibilities

• Design and develop Generative AI and RAG-based applications for enterprise and financial document use cases
• Develop AI agents and agentic workflows using LangChain, LangGraph or similar frameworks
• Build retrieval solutions using embeddings, vector databases, semantic search, reranking and contextual retrieval
• Develop AI-powered solutions for financial document analysis, comparison, validation and information extraction
• Integrate LLM platforms including OpenAI, Claude, Llama and AWS Bedrock
• Implement AI evaluation, observability and safety mechanisms to improve response accuracy and reduce hallucinations
• Develop scalable backend services and APIs using Python, FastAPI and microservices architecture
• Work with PostgreSQL, MongoDB, Redis and vector databases
• Deploy and manage applications using AWS, Docker and Kubernetes
• Develop CI/CD pipelines and follow software engineering practices including testing, code quality and version control
• Provide technical guidance and mentorship to engineering team members
• Collaborate with product and business teams to translate requirements into scalable AI solutions

Skills

Analytical skills

Communication skills

Problem-solving

Tools

Python

FastAPI

REST APIs

Microservices

PostgreSQL

MongoDB

Redis

Weaviate

Pinecone

Qdrant

LangChain

LangGraph

OpenAI

Claude

Llama

AWS Bedrock

AWS

Docker

Kubernetes

CI/CD

Job description

We are looking for an experienced Generative AI Engineer / Technical Lead to design and develop enterprise AI solutions, with a focus on Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents and financial document intelligence.

The role involves developing scalable AI applications and backend services, integrating LLM technologies with enterprise systems, and providing technical leadership for AI engineering initiatives.

Key Responsibilities

• Design and develop Generative AI and RAG-based applications for enterprise and financial document use cases.
• Develop AI agents and agentic workflows using LangChain, LangGraph or similar frameworks.
• Build retrieval solutions using embeddings, vector databases, semantic search, reranking and contextual retrieval.
• Develop AI-powered solutions for financial document analysis, comparison, validation and information extraction.
• Integrate LLM platforms including OpenAI, Claude, Llama and AWS Bedrock.
• Implement AI evaluation, observability and safety mechanisms to improve response accuracy and reduce hallucinations.
• Develop scalable backend services and APIs using Python, FastAPI and microservices architecture.
• Work with PostgreSQL, MongoDB, Redis and vector databases.
• Deploy and manage applications using AWS, Docker and Kubernetes.
• Develop CI/CD pipelines and follow software engineering practices including testing, code quality and version control.
• Provide technical guidance and mentorship to engineering team members.
• Collaborate with product and business teams to translate requirements into scalable AI solutions.

Requirements

• Minimum 8 years of software engineering experience, including relevant experience in Generative AI.
• Strong hands-on experience in Python and backend development.
• Experience developing RAG, LLM and AI-agent based applications.
• Hands-on experience with LangChain, LangGraph or equivalent frameworks.
• Strong understanding of vector databases, embeddings and semantic search.
• Experience with Weaviate, Pinecone, Qdrant or similar technologies.
• Experience with OpenAI, Claude, Llama or AWS Bedrock.
• Experience with FastAPI, REST APIs, microservices and scalable backend systems.
• Good knowledge of SQL, PostgreSQL, MongoDB and Redis.
• Experience with AWS, Docker, Kubernetes and CI/CD.
• Knowledge of AI evaluation, prompt engineering, guardrails and security.
• Strong analytical, problem-solving and communication skills.

Preferred Experience

• Experience in financial services, investment management, insurance or financial document processing.
• Experience in KYC/AML, compliance or financial document intelligence.
• Knowledge of LangSmith, RAGAS, Arize Phoenix or similar AI evaluation tools.
• Experience with AWS Textract or document extraction technologies.