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KDCI logo

AI Solutions Architect

KDCI
Posted Jun 12, 2026, 4:25 AM UTC
🇵🇭Philippines🏢Hybrid📁Data & Analytics
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KDCI Outsourcing is looking for an AI Solutions Architect to help clients across industries harness the power of artificial intelligence. You will serve as a strategic bridge between cutting-edge AI technologies and real business goals — guiding clients from initial discovery through solution design, implementation, and adoption. You'll work closely with internal delivery teams, technical architects, and client stakeholders to design AI-driven strategies that are practical, scalable, and results-oriented. KEY RESPONSIBILITIES AI Strategy & Solution Design • Partner with clients to understand their business challenges and design tailored AI solution roadmaps — from discovery to proof of concept to full deployment. • Develop customized AI architectures covering data pipelines, ML models, NLP/LLM integrations, and system connectivity. • Advise on AI platform selection (cloud-native, open-source, third-party SaaS) based on client maturity, budget, and technical environment. • Lead Proof of Value (PoV) and pilot engagements, ensuring outcomes are measurable and tied to business KPIs. Pre-Sales & Client Engagement • Collaborate with business development and account teams to identify AI opportunities and craft compelling proposals and RFP responses. • Deliver engaging, storytelling-driven demos and executive presentations that connect AI capabilities to specific client pain points. • Lead technical discovery workshops, stakeholder interviews, and requirements-gathering sessions to shape scope and approach. • Define success metrics and ROI frameworks that translate AI outputs into measurable business impact. Technical Delivery & Oversight • Guide delivery teams through solution architecture, integration design, data governance, and AI model evaluation and deployment. • Advise on responsible AI principles: fairness, explainability, bias mitigation, and data privacy compliance (GDPR, NPC/DPA PH). • Assess client data infrastructure readiness and provide recommendations on data engineering, labeling, and quality pipelines. • Oversee QA of AI outputs during project delivery, ensuring alignment with client acceptance criteria. Stakeholder Management • Build trusted relationships with client stakeholders from IT and operations to C-suite decision-makers. • Act as an ongoing advisor post-deployment — identifying new use cases, optimizing models, and ensuring continued ROI. • Communicate complex AI concepts clearly to non-technical audiences through structured narratives and business-focused framing. Thought Leadership & Internal Enablement • Stay current on AI trends (LLMs, GenAI, agentic frameworks) and bring insights back to internal teams. • Contribute to KDCI's AI knowledge base: playbooks, proposal templates, technical frameworks, and case studies. • Mentor junior architects and support capability development across the delivery organization. Required • 3–8 years of experience in AI/ML consulting, solutions architecture, or digital transformation. • Demonstrated ability to scope, design, and oversee AI solutions across NLP, computer vision, predictive analytics, or GenAI use cases. • Hands-on experience with AI/ML platforms (e.g., AWS SageMaker, Azure AI, Google Vertex AI, OpenAI, Hugging Face, LangChain). • Strong understanding of data engineering fundamentals: ETL/ELT pipelines, data lakes, APIs, and cloud storage. • Excellent communication and stakeholder management skills — comfortable presenting to both technical teams and executives. • Track record in pre-sales, client advisory, or consultative roles with measurable outcomes. • Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or related field. --- Questions: - Full name - Email address - Resume/CV - Cover letter - Phone -

At KDCI Outsourcing, we are committed to protecting your personal data in accordance with the Data Privacy Act of 2012 (RA 10173). By applying through our website, you agree to the collection and processing of your personal information—including your name, contact details, resume, and other relevant data—for the purpose of evaluating your application, managing recruitment records, and facilitating our hiring process. Your information may be shared with internal hiring teams, third-party recruitment service providers, or regulatory authorities if required by law. We will retain your application data for up to twelve (12) months for consideration for future opportunities unless you request its earlier deletion. You have the right to access your personal data, correct any inaccuracies, or request deletion of your information. To exercise these rights or inquire about our privacy practices, you may contact our Data Protection Officer at [email protected] or 09569274585. By submitting your application, you acknowledge and consent to the collection, processing, sharing, and retention of your data as described above.

- Current Location - Ilocos Region (Region I) - Cagayan Valley (Region II) - Central Luzon (Region III) - MIMAROPA (Region IV-B) - Bicol Region (Region V) - Western Visayas (Region VI) - Central Visayas (Region VII) - Eastern Visayas (Region VIII) - Zamboanga Peninsula (Region IX) - Northern Mindanao (Region X) - Davao Region (Region XI) - SOCCSKSARGEN (Region XII) - NCR-Manila - NCR-Quezon City - NCR-Makati - NCR-Taguig - NCR-Pasig - NCR-Mandaluyong - NCR-Marikina - NCR-Caloocan - NCR-Valenzuela - NCR-Malabon - NCR-Navotas - NCR-San Juan - NCR-Parañaque - NCR-Las Piñas - NCR-Muntinlupa - Rizal-Antipolo City - Rizal-Angono - Rizal-Baras - Rizal-Binangonan - Rizal-Cainta - Rizal-Cardona - Rizal-Jalajala - Rizal-Montalban - Rizal-Morong - Rizal-Pililla - Rizal-Rodriguez - Rizal-San Mateo - Rizal-Tanay - Rizal-Taytay - Cavite - Laguna - Batangas - Quezon Province - What is your highest educational attainment? - Undergraduate - College Graduate - Old Curriculum - College Graduate - K-12 Curriculum - K-12 Graduate - Vocational - High School Graduate - Postgraduate - What work setup(s) are you open to? (You may select all that apply) - Onsite - Hybrid - Remote - What was your most recent monthly salary? - What is your expected monthly salary? - Previous or Current Company - Most Recent Position - Do you have experience working in an outsourcing company? - When are you available for an initial interview? Please let us know your preferred date. - When can you start if selected? - Immediately - In 1–2 weeks - In 3–4 weeks - More than a month - Are you currently employed? - Do you have at least 2 years of experience in AI/ML consulting, solutions architecture, or digital transformation? - Have you worked hands-on with at least one major AI/ML platform (e.g., AWS SageMaker, Azure AI, Google Vertex AI, OpenAI, or Hugging Face)?

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