Top Artificial Intelligence Jobs in Caloocan

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related services. Define product direction, user problems, metrics, roadmaps, and launches; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial workflows, use research and performance data to guide decisions, launch quickly, and continuously improve products while balancing customer experience, business impact, compliance, and operational complexity.

Own product areas for BJAK’s AI Stockbroking and broader financial services. Define user problems, product direction, roadmaps, metrics, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; launch features; monitor performance; and iterate using data, research, feedback, and production insights.

Own product areas within BJAK’s AI Neobank, defining user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, ship features, monitor performance, and drive continuous improvements. Balance speed, customer experience, business impact, compliance, and operational complexity while making data-informed decisions with high ownership.

Own AI Investing product areas across financial services, defining user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, experiments, metrics, and production insights to launch features, monitor performance, make trade-offs, and drive continuous improvement.

Build and maintain full-stack AI products, integrating LLMs, APIs, databases, and automation platforms. Develop front-end and backend features, debug production systems, create automated tests, improve reliability and usability, scale solutions across markets and teams, measure adoption, and train non-technical users. Collaborate on requirements, sprint planning, architecture reviews, documentation, coding standards, and emerging AI and agent capabilities.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial experiences, ship features, monitor performance, and iterate using data, research, feedback, and production insights. The role requires strong ownership, prioritization, communication, product judgment, and the ability to make decisions with incomplete information.

Own product areas within BJAK’s AI Neobank across financial services such as insurance, payments, savings, investing, and travel. Define user problems, roadmaps, success metrics, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; and use data, feedback, experiments, and production insights to improve products after launch.

Own product areas for BJAK’s AI Stockbroking and broader financial services portfolio. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; launch features; monitor performance; and iterate using data, feedback, research, and production insights.

Own product areas across AI investing and financial services, from defining user problems and roadmaps to launching features and improving performance. Collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial products, use metrics and user feedback to guide decisions, manage trade-offs, and drive execution with high ownership.

Own product areas across AI Finance, including insurance, payments, savings, investing, and travel. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial products; launch features; monitor performance; and iterate using data, feedback, research, and production insights.

Lead AI strategy, consulting, advisory, business development, presales, solution design, and client delivery. Identify high-value AI use cases, lead proof-of-concept initiatives, research emerging technologies, develop thought leadership, and support the launch and scaling of AI solutions. Balance strategic leadership with hands-on technical execution while collaborating with data scientists and AI architects to drive client AI adoption.

The Junior Project Manager will lead AI-focused projects, ensuring timely delivery and effective collaboration across teams while managing risks and compliance.

Lead identification, prototyping, and deployment of high-impact AI use cases; integrate AI into systems and workflows; drive adoption via training, playbooks, and change management; establish usage guardrails; partner with IT, Sales Ops, and transformation teams to scale AI capability.

Lead and align Engineering, ML, and Analytics to deliver scalable, reliable production AI and data systems. Own technical direction, architecture, MLOps, and platform reliability while partnering with Product, Sales, and Customers to ensure engineering work maps to measurable business outcomes.

Define and track AI feature success metrics, design and analyze experiments (A/B tests), build AI prototypes, explore data to inform product decisions, create dashboards, improve model interpretability and fairness, and collaborate with product and engineering teams to align models with product goals.

Lead AI-driven QA strategy and implementation, build AI-enhanced test automation and self-healing frameworks, integrate CI/CD and cloud-native testing, drive agile/DevOps transformation, champion quality culture, and mentor QA teams in AI testing practices.

Lead and coach an Agile squad to deliver production-grade AI solutions. Facilitate Scrum ceremonies, remove impediments, track sprint metrics, ensure backlog readiness, manage risks and dependencies, and coordinate releases while promoting DevOps, automation, and AI-enabled development practices.

Design and prototype AI-powered automations and multi-modal conversational agents, build integrated low-code/code workflows, run POC/MVPs, demonstrate solutions to clients, gather feedback, and collaborate on internal AI innovation.

Design and implement scalable data and AI solutions. Build and optimize EL(T) pipelines, manage data extraction/integration/storage, apply software engineering best practices, mentor team members, collaborate with stakeholders, and drive AI/data platform adoption across projects.

This role involves identifying business opportunities, translating needs into technology solutions, and implementing transformation initiatives using SAP and AI.

As an AI Image Generation Specialist, you'll enhance and generate images using Photoshop and AI tools while editing photos for global clients and supporting Snappr's growth.

The role involves building workflows and dashboards, developing RAG systems, and scripting in Python or JavaScript while utilizing AI tools for rapid development.

The role involves creating SEO-optimized content using AI tools like ChatGPT, producing conversion-focused copy, and meeting high-volume writing goals while ensuring quality and brand alignment.

Own product areas within BJAK's AI Neobank app, defining user problems, scope, metrics, roadmaps and launch plans. Work cross-functionally with engineering, design, data, operations, compliance and business teams to simplify complex financial products, launch features, monitor performance, iterate using data and feedback, and balance speed, UX, business impact and compliance.

Lead product direction for major areas of BJAK's AI Neobank app, define roadmaps and metrics, guide PMs/POs, designers and engineers across squads, translate regulatory and business constraints into product decisions, and drive launch quality, post-launch learning and continuous improvement.