Top Artificial Intelligence Jobs in Quezon City

Leads Johnson & Johnson’s enterprise HR AI and automation strategy across the Hire-to-Retire lifecycle. Defines roadmaps, governs responsible AI adoption, oversees implementation of generative AI, conversational AI, machine learning, and automation solutions, and manages cross-functional teams and executive stakeholders. Drives digital transformation, employee experience improvements, process simplification, adoption, KPI tracking, and value realization while fostering innovation and continuous learning across the HR Digital organization.

The Engineer II will develop, maintain, and enhance RPA solutions while collaborating with teams to streamline business operations.

The role involves assessing organizational structures and developing AI-enabled transformation strategies, focusing on efficiency and business performance improvement.

Design scalable, secure automation and AI-enabled solutions (RPA, IDP, integrations, chatbots). Produce build-ready artifacts, define architectures, ensure compliance with data governance and regulatory standards, and support delivery teams to reduce rework and accelerate value realization across transformation initiatives.

Produce production-ready AI-generated visuals and video for beauty and fashion campaigns, including packaging, product imagery and retail assets. Develop and refine prompts, collaborate with design and packaging teams, maintain prompt libraries and workflows, and ensure outputs meet brand, print and production standards.

Owns an AI-focused finance product vertical end to end, including strategy, metrics, backlog, technical design, money-movement correctness, regulatory requirements, and launch readiness. Partners with engineering, design, compliance, operations, treasury, and finance. Defines safe, evaluable AI behavior with human oversight and traceability, while balancing reliability, cost, speed, security, scalability, and user experience across regulated financial workflows.

Lead product direction, roadmaps, standards, metrics, and execution for major areas of KIRA’s AI Neobank App. Guide PMs, product owners, designers, and engineers across financial products including insurance, payments, savings, investing, and travel. Translate regulatory and business constraints into product decisions, drive launch quality, and promote rapid, measurable, user-focused iteration.

Lead product direction and execution for major areas of KIRA’s AI Investing App. Own roadmaps, priorities, product standards, metrics, launch quality, and continuous improvement across multiple squads and financial-service products. Guide PMs, product owners, designers, and engineers while balancing user experience, data, engineering, regulatory, operational, and business constraints. Mentor product talent and build a fast, user-focused product culture.

Lead product direction, strategy, roadmaps, standards, and success metrics for major areas of an AI finance app. Guide PMs, product owners, designers, and engineers across multiple squads and financial services, including insurance, payments, savings, investing, and travel. Translate regulatory and business constraints into product decisions, drive launch quality, evaluate post-launch results, and foster a culture of speed, clarity, user value, and measurable impact.

Leads Data and AI success management for a commercial business unit, securing stakeholder adoption and connecting analytics initiatives to revenue, retention, profitability, and operational metrics. Directs initiatives from ideation through production and adoption, navigates technical and organizational challenges, and applies SQL, quantitative analytics, data visualization, statistical modeling, data management, warehousing, and data modeling concepts.

Lead technical strategy with channel partners across ASEAN to design, validate, and scale Microsoft Cloud and Data & AI solutions. Drive offer development, run workshops and POCs, enable specializations, and translate technical work into repeatable, revenue-generating partner services aligned to Microsoft Cloud and AI priorities.

Own product areas for KIRA’s AI neobank across insurance, payments, savings, investing, travel, and other financial services. 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 and iterate features using data, research, feedback, and production insights; and balance speed, usability, business impact, compliance, and operational complexity.

Design, build, and deploy production-grade multi-agent systems using Google ADK. Architect deterministic graph workflows, integrate tools and enterprise datastores via MCP, evaluate and debug agent execution, and scale agents on Agent Engine using GCP (Cloud Run/Vertex AI) with a focus on reliability, security, and low latency.

Drive end-to-end design and development of AI solutions, focusing on performance, reliability, and technical leadership in AI engineering.

Own AI Investing product areas across financial services. Define user problems, product scope, metrics, roadmaps, and launches; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; use research, feedback, experiments, and performance data to improve products and drive post-launch iterations.

Own product areas for KIRA’s AI Stockbroking and broader financial services. Define user problems, product scope, 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 features, monitor outcomes, and drive continuous iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Own product areas within AI Investing and other financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial workflows. Launch features, monitor performance, use research and feedback to improve decisions, and balance speed, user experience, business impact, compliance, and operational complexity.

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

Own product areas across AI investing and broader 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 make decisions, launch features quickly, monitor performance, and drive continuous iteration while balancing user experience, business impact, compliance, and operational complexity.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to ship features, monitor performance, and iterate using research, feedback, experiments, and production insights. Simplify complex financial products while balancing user experience, business impact, compliance, speed, and operational complexity.

Own product areas within an AI-focused neobank across financial services such as insurance, payments, savings, investing, and travel. Define user problems, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams; simplify complex financial journeys; and use research, feedback, experiments, and performance data to drive post-launch improvements.

Own product areas for KIRA’s AI Stockbroking and broader financial services products. Define user problems, scope, metrics, roadmaps, and launches; collaborate with engineering, design, data, compliance, operations, and business teams; simplify complex financial workflows; use data and feedback to improve decisions; monitor performance and drive post-launch iterations.

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

Own product areas across AI investing and other financial services. Define user problems, product scope, success metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial products, launch features, monitor performance, use research and feedback, and drive continuous iterations while balancing speed, user experience, business impact, compliance, and operational complexity.

Own product areas within an AI neobank across financial services such as 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 journeys; and use research, feedback, experiments, and performance data to continuously improve products.