AI Specialist

BDO Unibank; Metro Manila; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

BDO Unibank, Inc. seeks an AI Specialist/Data Scientist to design, develop, deploy, and maintain enterprise-grade AI applications and GenAI solutions, spanning front-end, backend, and cloud deployment.

You will integrate LLMs, RAG, AI agents, and vector databases, collaborate with stakeholders, and deliver measurable business value through scalable AI products and reusable services. The role requires 3–5 years of production AI experience, onsite work in Makati/Ortigas, and strong skills in

Qualifications

• Bachelor’s or master’s degree in data science, CS, math/statistics, or related fields.
• 3–5 years of production-grade AI or data-centric app delivery experience.
• Experience across full stack and AI/ML lifecycle; onsite in Makati/Ortigas.
• Proficiency with GenAI, RAG, chatbots, and AI agents; Azure/OpenAI exposure.
• Strong Python, React.js, API design, and cloud deployment skills.

Responsibilities

• Design, develop, and maintain enterprise-grade AI applications with GenAI and RAG architectures.
• Build end-to-end GenAI apps using LLMs, vector databases, and agent orchestration frameworks.
• Develop customer- and employee-facing AI solutions across web, mobile, and chat interfaces.
• Translate business requirements into scalable AI architectures and reusable components.
• Collaborate with stakeholders, data scientists, and engineers; contribute to SDLC practices.
• Ensure governance, security, and compliant AI solutions with guardrails.

Skills

GenAI

RAG

Copilot

Chatbot

AI agents

Python

React.js

API design

Cloud deployment

Education

Bachelor’s or Master’s in Data Science / CS

Tools

Azure OpenAI

OpenAI APIs

Anthropic Claude

Gemini

LangChain

LangGraph

Semantic Kernel

AutoGen

CrewAI

Job description

BDO Unibank, Inc. is the Philippines’ leading full-service bank, offering a wide range of financial and digital banking services. Guided by our brand promise “We Find Ways,” we are committed to delivering easy, reliable, and customer-focused services. Build your career with a trusted industry leader.

Job Summary

The AI Specialist/Data Scientist is a full stack AI engineer responsible for designing, developing, deploying, and maintaining enterprise-grade AI applications, Generative AI (GenAI) solutions, Agentic AI systems, and intelligent digital experiences that deliver measurable business value.

The role combines software engineering, AI engineering, and product development capabilities, encompassing front-end development, backend services, AI orchestration, model integration, and cloud deployment. The incumbent will build and support scalable, secure, and production-ready AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, workflow orchestration frameworks, APIs, and cloud-native technologies. He/she is expected to work closely with business stakeholders, data scientists, AI architects, UX designers, platform engineers, and DevOps teams to transform business requirements into robust AI products and reusable AI services that accelerate the Bank's AI transformation journey.

Key Responsibilities:

AI Application Development and Support

• Design, develop, and maintain enterprise-grade AI-powered applications using RAG architecture, agenticAI
• Build end-to-end GenAI applications utilizing LLMs, RAG architectures, vector databases, and agent orchestration frameworks
• Develop customer-facing and employee-facing AI solutions across web, mobile, and conversational channels
• Translate business requirements into scalable AI application architectures
• Develop reusable AI application components and reference patterns
• Develop data pipelines to ingest and store data to vector database or relational database

Front-End Development

• Develop responsive, secure, and intuitive user interfaces using React.js
• Build AI chat interfaces, agent dashboards, workflow management portals, and AI-assisted user experiences
• Implement state management, authentication, authorization, and application security controls
• Optimize user experience, accessibility, and application performance

Backend Services and API Engineering

• Build and deploy backend services and APIs in Python, including data-driven and AI-powered features
• Design and develop RESTful APIs to facilitate communication between front-end applications and backend services
• Ensure robust error handling, authentication, and authorization mechanisms in API interactions
• Collaborate with backend engineers to define API specifications and ensure seamless integration
• Optimize API calls for performance and reliability, implementing strategies like pagination, batching, and caching

AI Solution Integration

• Integrate OpenAI models and other LLM services into production applications
• Embed and interact with generative AI models (e.g., via OpenAI or custom APIs) in the front‑end, ensuring low latency and responsive UIs
• Integrate AI capabilities into existing enterprise platforms and business processes
• Connect AI solutions with APIs, databases, document repositories, workflow systems, and third-party application

Collaboration and Documentation

• Translate business requirements into technical implementation
• Participate in design reviews, sprint planning, and code reviews, providing constructive feedback
• Communicate with business stakeholders to understand their needs and translate the requests to a technical design
• Execute testing
• Document component libraries, data schemas, and integration patterns to adhere to SDLC policy

AI Governance and Compliance

• Ensure compliance with Responsible AI policies, security standards, data privacy requirements
• Implement guardrails against any Responsible AI risk

Qualifications:

• Bachelor’s degree or master’s degree in data science, Computer Science, Math/Statistics, or related fields
• Minimum 3-5 years of experience in delivering production-grade AI or data-centric applications.
• Comfortable working across the full stack and the AI/ML development lifecycle
• Must be willing to work onsite and be assigned in Makati/Ortigas
• Preferred Experience
• Experience building GenAI, RAG, Copilot, chatbot, or AI agent solutions.
• Experience integrating Azure OpenAI, OpenAI APIs, Anthropic Claude, Gemini, or equivalent LLM platforms.
• Experience implementing vector databases such as Azure AI Search
• Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar agent orchestration frameworks.
• Experience deploying AI solutions on Azure/AWS
• Experience building microservices and API-driven architectures.
• Must be willing to work onsite and be assigned in Makati/Ortigas