Top Artificial Intelligence Jobs in Caloocan

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.

The AI Solutions Engineer leads AI development across operations by enhancing existing AI processes, deploying solutions, and coaching non-technical team members.

Lead and operate enterprise Azure and Microsoft 365 platforms, manage hybrid identity (Entra ID/AD), deliver and govern AI solutions (Azure OpenAI, Azure ML, Copilot), provide L2/3 support, secure and govern cloud resources, manage on‑prem infrastructure, and drive vendor, project, and stakeholder engagement to scale AI initiatives.

Early-career full stack internship developing frontend and backend features under senior guidance. Integrate AI coding tools into workflows, translate product requirements to implementations, contribute across the product lifecycle, and suggest cross-team process improvements while learning full-stack practices.

Design and deploy AI/ML models and automation to improve procurement analytics, integrate data from ERP and BI tools, build dashboards, lead digital projects, and drive stakeholder adoption and training.

Architect and operate sales systems: deploy AI prospecting agents, build automated data-enrichment and scraping pipelines, manage HubSpot CRM architecture and lead routing, run outbound automation, integrate partner workflows, and deliver reporting and SOPs to scale sales operations.

Use AI-assisted tools like ChatGPT to produce high-volume, conversion-focused, SEO-optimized content (blogs, landing pages, emails). Refine AI drafts, maintain brand voice and factual accuracy, meet ambitious production goals, collaborate with marketing on keyword strategy, and continuously improve AI prompts and workflows to boost engagement and conversions.

Analyze manual, repetitive processes and build permanent automations using Python, advanced Excel, SQL, and AI/workflow platforms. Create data pipelines, dashboards, and documented solutions that reduce manual effort, improve reporting accuracy, and enable teams to operate without ongoing manual intervention.

Design polished, mobile-first interfaces and prototypes for BJAK's AI and financial products. Translate requirements into wireframes, flows, and high-fidelity UI; maintain the design system; collaborate with PMs and engineers; iterate using feedback, analytics and testing; ensure accessibility, responsiveness and visual consistency.

Build internal AI developer productivity tools (coding assistants, retrieval systems, workflow automation). Develop LLM-powered apps for code generation, understanding, and test automation. Integrate AI across the SDLC, embed with teams to remove friction, experiment with prompt engineering, RAG, and AI agents, and evaluate emerging AI technologies.

Early-career DevOps role focusing on Kubernetes and AWS operations, embedding security into the development lifecycle, automating processes, and implementing CI/CD solutions. Remote, fixed-term accelerator program for students and recent graduates.

Early-career TechOps role: build dashboards/alerts, script repetitive ticket steps, participate in RCAs, log user pain points and propose fixes, create a lightweight agent (e.g., Telegram bot) with reusable skills, optimize incident-management workflows, and write actionable runbooks to improve support-driven user experience.

Lead planning, design, delivery and promotion of a customer-service chatbot management platform. Use AI and big data to improve CS operations (corpus training, SOPs, assistant replies, summaries). Collaborate with engineering, UX, and CS teams. Monitor KPIs and user cases to drive product improvements.

Lead AI-driven growth product strategy to improve acquisition, activation, retention, cross-sell, and churn reduction. Design viral loops and referral programs, use data and user insights to inform features, manage roadmaps, run experiments, and collaborate with marketing, operations, and engineering to optimize user funnels and drive scalable organic growth.

The AI Engineer Consultant will develop and maintain ETL pipelines in Azure, design MLOPS processes, test ML models, and support infrastructure for users.

The AI Automation Engineer will design and implement AI agents to automate workflows, optimize processes, and ensure compliance while integrating with major enterprise systems.

Responsible for conducting privacy assessments, implementing data privacy policies, developing privacy-enhancing technologies, and championing privacy and AI best practices.

Create AI-assisted image and video assets from briefs, edit videos, support asset generation, learn new AI creative tools, collaborate with creative leads, and manage creative files to meet deadlines and output targets.

Lead design, build, and deploy AI-driven automation and AI agents to transform finance operations. Partner with finance teams to redesign processes, improve reporting, enhance data governance, and drive adoption through change management, training, and ongoing capability building.

Early-career full-time program offering training, mentorship, and hands-on work within Binance's blockchain ecosystem. Participants develop practical skills in Web3, collaborate across teams, and contribute to product and engineering projects while receiving tailored curriculum and 1:1 mentorship.

Design, architect, and deliver enterprise-grade AI-driven automations across Salesforce, EDI, order-to-cash, and SAP ERP using Power Platform, Copilot Studio, RAG, and agent orchestration. Partner with Sales Ops, Revenue Ops, Finance, and IT to reduce manual work, improve revenue accuracy, measure ROI, deploy and support automations, and enforce governance, monitoring, logging, access controls, and auditability. Role requires production support and continuous improvement, with night or EMEA shift availability.

Design, architect, and deliver secure AI-powered low-code/no-code automations across Salesforce, EDI, SAP ERP, and order-to-cash systems using Power Platform and advanced AI patterns (RAG, agent orchestration, prompt engineering). Partner with finance, sales ops, and IT to implement, monitor, and govern solutions, measure ROI, and support production deployments and incident remediation.

Review and annotate sports video: identify sport, player actions, techniques, tactical movements and game events; record timestamps, apply taxonomies and follow quality guidelines and calibration tasks.

Design and build internal AI productivity tools and LLM-powered applications to augment developer workflows. Integrate AI into the software development lifecycle, apply techniques like prompt engineering, RAG, and agents, partner with engineering teams to identify bottlenecks, and continuously evaluate emerging AI technologies to improve internal platforms and engineering efficiency.

The AI-Enhanced Virtual Assistant will support AI integration, administrative tasks, communication management, project coordination, and client interaction to enhance operational efficiency.