Top Artificial Intelligence Jobs in Quezon City

Startek provides tech-enabled, human-assisted customer experience (CX) solutions using AI, omnichannel orchestration, and CX analytics. They partner with global brands to analyze customer interactions, deliver CX insights, and drive digital transformation. This posting contains a company overview; specific role responsibilities were not provided.

Leads Source-to-Contract procurement operations, including sourcing events, negotiations, contract drafting and execution, stakeholder management, compliance, and SLA delivery. Mentors analysts, drives process improvements, and supports automation and AI initiatives as product owner for S2C tools. Partners with procurement, legal, compliance, IT, and security teams while managing data requirements, privacy controls, and global business relationships.

Lead product direction and execution for major areas of KIRA’s AI-powered financial app. Own roadmaps, priorities, product standards, success metrics, launch quality, and continuous improvement across multiple squads and financial services, including insurance, payments, savings, investing, and travel. Guide product managers, designers, and engineers while balancing user experience, data, engineering, regulatory, operational, and business considerations.

Own product areas for KIRA’s AI stockbroking and financial services apps. Define user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, metrics, feedback, experiments, and production insights to improve decisions, launch features, monitor performance, and drive iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Provide remote counseling for members recovering from substance use disorders through chat, video, and phone sessions. Conduct onboarding assessments, monitor recovery progress, apply CBT, motivational interviewing, relapse prevention, and related therapeutic strategies, and coordinate MAT. Collaborate with multidisciplinary healthcare teams, participate in case discussions, maintain active Massachusetts credentials, and use AI-enabled clinical tools for documentation and care support.

Own product areas within BJAK’s AI Investing and broader financial services portfolio. 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; and drive data-informed iteration while balancing customer experience, business impact, compliance, and operational complexity.

As a Senior AI Engineer, you'll design and deliver scalable AI solutions, lead LLM integration, and mentor engineers while ensuring performance, reliability, and quality compliance.

Lead enterprise AI programs from concept through production deployment. Define roadmaps, milestones, success measures, and use-case priorities while coordinating business, product, engineering, data, and platform teams. Manage risks, dependencies, governance, monitoring, and operational excellence for AI and Agentic AI solutions. Provide executive reporting, support organizational adoption, and ensure adherence to Responsible AI, security, and data privacy standards.

Lead supply chain business analysis and consulting across presales, RFPs, client discovery, requirements gathering, process mapping, fit-gap analysis, solution design, and implementation support. Translate business needs into functional requirements and scalable technology solutions using supply chain platforms, analytics, and AI. Facilitate stakeholder workshops, define KPIs and analytics requirements, support testing and deployment planning, and manage client relationships across business and technology teams.

Develops and supports SAP BI and data integration solutions, including data acquisition, cleansing, ETL, modeling, testing, troubleshooting, reporting, and documentation. Supports global analytics projects, business reporting, incidents, and on-call operations. Evaluates data sources, designs relational and dimensional models, automates repetitive tasks, and collaborates with analysts, engineers, and international business teams.

Own partner services operations including SOWs, invoicing, renewals, access governance, capacity planning, and audit-ready documentation. Build AI-powered workflows, automations, reports, dashboards, and customer health analyses supporting TAM, Solutions, Support, and Partner Services. Analyze operational data, identify risks and opportunities, support retention initiatives, and execute cross-functional programs while driving adoption of new tools and processes.

The position offers IT technical support, focusing on aiding users with technology-related issues and ensuring seamless business operations within the company.

Lead and scale a Manila-based, client-facing Data, Analytics, and AI practice across the deal lifecycle. Deliver AI/ML/GenAI solutions, manage mid-to-large analytics engagements, drive go-to-market and pre-sales, mentor junior staff, and ensure high-quality end-to-end delivery for M&A and transaction advisory work.

Designs and manages AI-powered workflows, administrative automations, SOPs, reminders, reporting systems, and process controls. The role identifies inefficiencies, builds reliable systems using AI and automation platforms, documents processes, monitors recurring operations, closes follow-up loops, trains team members, and partners with the Admin Manager to improve administrative performance and accountability.

Analyze large-scale transactional, operational, and customer datasets; build visualizations, machine learning models, and experiments; translate complex findings into clear recommendations for operational teams and executives; and apply analytical software, databases, visualization tools, and programming languages in a fast-paced blockchain environment.

Develop and deploy production-ready AI and machine learning applications using cloud AI services and generative AI models. Design scalable AI architectures, integrate deep learning and neural network technologies, monitor model performance, and support cloud and on-premises deployments. Collaborate with cross-functional teams, document technical solutions, evaluate emerging AI technologies, and independently contribute as a subject matter expert.

Sales Engineer supporting commercial efforts by combining technical expertise in industrial automation, test & measurement, digital twin, AI, and industrial cybersecurity to engage customers, demonstrate solutions, and enable sales across energy transition and related industries.

As a Senior Solutions Engineer, you will collaborate with the AI Transformation team to build and maintain AI and automation solutions, integrating diverse internal tools, while modernizing systems to enhance operational efficiency.

The Technical Support Specialist L2 handles escalated technical issues, implements automation scripts, and collaborates with a network analyst for effective IT support.

Create written, visual, and video content using AI tools; develop prompts; manage AI content production from concept to approval; edit video and images; optimize workflows; monitor trends and analytics; collaborate with creative teams; and serve as the AI content subject matter expert.

Lead enterprise sales engagements for AI- and cloud-driven transformations. Qualify and accelerate high-value opportunities, coordinate cross-organizational partners, use AI-powered analytics for forecasting, and drive pipeline hygiene, partner attach, and secure customer outcomes to achieve sales targets.

Build, deploy, and optimize AI agents for marketing use cases. Own the agentic marketing roadmap and initiative portfolio, translate business needs into technical requirements, and coordinate integrations across marketing workflows, knowledge sources, CRM, and marketing automation platforms. Define data and governance requirements, develop testing and validation frameworks, and measure agent quality, workflow effectiveness, and business impact while partnering with technical and business stakeholders.

Build, deploy, and monitor full-stack applications, APIs, data pipelines, and AI automations. Develop ReactJS front ends with Python, C#, or .NET Core back ends; manage PostgreSQL and MongoDB databases; create MCP servers and agent tools; implement AI workflows; support production systems; and follow testing, documentation, code review, and agile delivery practices.

Own the end-to-end product experience for agentic AI products, shaping the roadmap, defining features, improving UX, and driving 0-to-1 development. Identify product friction through deep product analysis, usage data, and customer feedback. Lead design reviews, create PRDs, prototypes, onboarding experiences, product marketing content, and in-app education while partnering closely with design and engineering.

Develop user-facing financial AI and equity research algorithms across query understanding, document processing, entity recognition, event detection, retrieval, ranking, and quality evaluation. Build datasets, labeling systems, benchmarks, and production evaluation frameworks. Apply large language models, NLP, machine learning, reinforcement learning, knowledge graphs, and multimodal methods while collaborating with engineers to deploy and continuously optimize financial data and knowledge systems.